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Speech and Music Retrieval
LBSC 796/INFM 718R
Session 12, November 18, 2007
Douglas W. Oard
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Agenda
<= span class=3DBB style=3D'position:absolute;left:-4.61%'>•Questions=
<= span style=3D'visibility:hidden'>•
<= span class=3DBB style=3D'position:absolute;left:-4.61%'>•Speech retrieval
<= span style=3D'visibility:hidden'>•
<= span class=3DBB style=3D'position:absolute;left:-4.61%'>•Music ret= rieval
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Spoken Word Collections
•B= roadcast programming
&= #8211;News, interview, talk radio, sports, entertainment
•S= cripted stories
&= #8211;Books on tape, poetry reading, theater
•S= pontaneous storytelling
&= #8211;Oral history, folklore
•I= ncidental recording
&= #8211;Speeches, oral arguments, meetings, phone calls
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Some Statistics
•~250,000 = hours of oral history in British Library
– <= /div>
•>4,000= radio stations webcasting
–~35 milli= on hours per year
– <= /div>
•~100 bill= ion hours of phone calls each year
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Economics of the Web
SpeechBot
SingingFish
Lycos
Yahoo
Search Systems
38%
10%
Display Capability
(% US population)
20%
100%
Modem Capacity
(% utilization)
30M
250K
Internet Backbone
(simulta= neous users)
1.5M
300K
Storage
(words p= er $)
Speech in 2003
Text in 1995
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file:///C:/B278E251/796f0711_files/slide0066.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Speech Retrieval Approaches
&#= 8226;Controlled vocabulary indexing
• <= /div>
&#= 8226;Ranked retrieval based on associated text
– <= /span>
ÞAutomatic feature-based indexing
– <= /div>
&#= 8226;Social filtering based on other users’ ratings
R= 11;
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Supporting Information Access
Source
Selection
Search
Query
Selection
Ranked List
Examination
Recording
Delivery
Recording
Query
Formulation
Search System
Query Reformulation
and
Relevance Feedback
Source
Reselection
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Description Strategies
<= span style=3D'color:#3333CC;mso-color-index:5'>•Transcription
<= span class=3DB1B style=3D'position:absolute;left:-3.47%'>–Manual transcription (with optional post-editing)
»
<= span style=3D'color:#3333CC;mso-color-index:5'>•Annotation
<= span class=3DB1B style=3D'position:absolute;left:-3.28%'>–Manually= assign descriptors to points in a recording
<= span class=3DB1B style=3D'position:absolute;left:-3.42%'>–Recommen= der systems (ratings, link analysis, …)
»
<= span style=3D'color:#3333CC;mso-color-index:5'>•Associated materials
<= span class=3DB1B style=3D'position:absolute;left:-3.32%'>–Intervie= wer’s notes, speech scripts, producer’s logs
»
<= span style=3D'color:#3333CC;mso-color-index:5'>•Automatic
<= span class=3DB1B style=3D'position:absolute;left:-3.12%'>–Create a= ccess points with automatic speech processing
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0012.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Detectable Speech Features
&#= 8226;Content
&= #8211;Phonemes, one-best word recognition, n-best
&#= 8226;Identity
&#= 8211;Speaker identification, speaker segmentation
&#= 8226;Language
&= #8211;Language, dialect, accent
&#= 8226;Other measurable parameters
&= #8211;Time, duration, channel, environment
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0016.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
How Speech Recognition Works
&#= 8226;Three stages
&= #8211;What sounds were made?
&= #8226;Convert from waveform to subword units (phonemes)
&= #8211;How could the sounds be grouped into words?
&= #8226;Identify the most probable word segmentation points
&= #8211;Which of the possible words were spoken?
&= #8226;Based on likelihood of possible multiword sequences
» <= /div>
&#= 8226;These can be learned from “training data”
&= #8211;Hill-climbing sequence models
&= #8226;(a “Hidden Markov Model”)
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Using Speech Recognition
Phone
Detection
Word
Construction
Word
Selection
Phone
n-grams
Phone
lattice
Words
Transcription
dictionary
Language
model
One-best
transcript<= /div>
Word
lattice
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Phone Lattice
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Retrieval
Phoneme Trigrams
&#= 8226;Manage -> m ae n ih jh
&= #8211;Dictionaries provide accurate transcriptions
&= #8226;But valid only for a single accent and dialect
&= #8211;Rule-base transcription handles unknown words
= 226;Index every overlapping 3-phoneme sequence
&= #8211;m ae n
&= #8211;ae n ih
&= #8211;n ih jh
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0023.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Cambridge Video Mail Retrieval
&#= 8226;Translate queries to phonemes with dictionary
&= #8211;Skip stopwords and words with £ 3 phonemes
&#= 8226;Find no-overlap matches in the lattice
&= #8211;Queries take about 4 seconds per hour of material
&#= 8226;Vector space exact word match
&= #8211;No morphological variations checked
&= #8211;Normalize using most probable phoneme sequence
&#= 8226;Select from a ranked list of subject lines
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0018.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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Key Results from TREC/TDT
&#= 8226;Recognition and retrieval can be decomposed
&= #8211;Word recognition/retrieval works well in English
– <= /div>
&#= 8226;Retrieval is robust with recognition errors
&#= 8211;Up to 40% word error rate is tolerable
– <= /div>
= 226;Retrieval is robust with segmentation errors
&= #8211;Vocabulary shift/pauses provide strong cues
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0056.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Competing Demands on the Interface=
&#= 8226;Query must result in a manageable set
&= #8211;But users prefer simple query interfaces
– <= /div>
&#= 8226;Selection interface must show several segments
&= #8211;Representations must be compact, but informative
• <= /div>
&#= 8226;Rapid examination should be possible
&= #8211;But complete access to the recordings is desirable
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BBN Radio News Retrieval
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AT&T Radio News Retrieval
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quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
MIT “Speech Skimmer”
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Comparison with Text Retrieval
&#= 8226;Detection is harder
&= #8211;Speech recognition errors
&#= 8226;Selection is harder
&= #8211;Date and time are not very informative
&#= 8226;Examination is harder
&= #8211;Linear medium is hard to browse
&= #8211;Arbitrary segments produce unnatural breaks
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0058.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
A Richer View of Speech
•Speaker identification
–Known speaker and “more like this” searches
–Gender detection for search and browsing
»<= /span>
•Topic segmentation = ;
–Vocabulary shift, cue words
–More natural breakpoin= ts for browsing
»<= /span>
•Speaker segmentation&#= 13;
–Visualize turn-taking behavior for browsing
–Classify turn-taking patterns for searching
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0013.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Speaker Identification
&#= 8226;Gender
&= #8211;Classify speakers as male or female
&#= 8226;Identity
&= #8211;Detect speech samples from same speaker
&= #8211;To assign a name, need a known training sample
&#= 8226;Speaker segmentation
&= #8211; Identify speaker changes
&= #8211;Count number of speakers
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0079.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Visualizing Turn-Taking
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Broadcast News Retrieval Study
•<= /span>NPR Online
ØManually pr= epared transcripts
ØHuman cataloging
Ø
•= 3;
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ØAutomatic S= peech Recognition
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•
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NPR Online
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charset="us-ascii" Image and Sound Retrieval
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Study Design
&#= 8226;Seminar on visual and sound materials
&= #8211;Recruited 5 students
&#= 8226;After training, we provided 2 topics
&= #8211;3 searched NPR Online, 2 searched SpeechBot
= 226;All then tried both systems with a 3rd topic
&= #8211;Each choosing their own topic
&#= 8226;Rich data collection
&#= 8211;Observation, think aloud, semi-structured interview
&#= 8226;Model-guided inductive analysis
&= #8211;Coded to the model with QSR NVivo
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0109.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Criterion-Attribute Framework
Story title
Brief summary
Audio
Detailed summary
Speaker name
Audio
Detailed summary
Short summary
Story title
Program title
Speaker name
Speaker’s affiliation
NPR Online
Associated Attributes
Detailed summary
Brief summary
Audio
Highlighted terms
Audio
Program title
<= /div>
 
Topicality
 
Story Type
 
Authority
SpeechBot
= Relevance <= span style=3D'position:absolute;top:23.75%;left:4.3%;width:17.41%;height:4.0%'>= Criteria
-Date is often associated with query formulation. That is searchers often wanted to limit their search by date= .
-Program title – Users who were fa= miliar with some program names were often able to tell the ‘type’ of= a story by looking at the program title.
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Sound Retrieval
Lessons Learned from the MALACH Project
Douglas W. Oard
College of Informa= tion Studies and
Institute for Adva= nced Computer Studies
Applying New Technologies to Improve Intellectual Access
to Large Oral History Collections
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file:///C:/B278E251/796f0711_files/slide0207_image061.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh2wEzAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAADZ ATEAgAAAAAAAAAL/hI+py+0Po5y02ouz3rz7D4biEozmiabqyrbuC6NlTNf2jef6js/8DwwKh8Si x2dMKpfMphOEfEqn1Kp1F71qt9yuV5L9isfkcjJsTqvX7BS6DY/L5403/Y7Pj+36vv/PxAc4SFh4 I2iYqLgogsj4CBkZ4ShZaRlJeam5OZjJ+Qk65xlKWlo2apqqeoW66vq61Ao7S/sjW4ubG3Or2+t7 wvsrPLwRTHyMPJm8zAzV/Ax9YRxN7TtdjV17nc3tut0NXvodTs45Xo5eeZ7OzrjeDl/4Hk/vN1+P f3efzw+33w8wzb+ABMUMLIhwy8GEDKksbAixycOIFI1MrIgxyMWMKxx1bOwIskaAkSRLmjyJMqXK lSxbunwJM6bMmTRr2ryJM6fOnTx7+vypsgAAOw== ------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0208.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Outline
•The MALACH Project
•
•Learning = from our users
•
•Evaluatin= g new access technologies
•
•What̵= 7;s left to do?
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0209.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Indexing Options
•Transcript-based (e.g., NASA)
&= #8211;Manual transcription, editing by interviewee
»
•Thesaurus-based (e.g., Sh= oah Foundation)
&#= 8211;Manually assign descriptors to points in interview
»
•Catalog-based (e.g., Brit= ish Library)
&= #8211;Catalog record created from interviewer’s notes
»
•Speech-based (MALACH) = ;
&= #8211;Create access points with speech processing
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Supporting the Search Process
Source
Selection
Search<= /div>
Query
Selection
Ranked List
Examination
Recording
Delivery
Recording
Query
Formulation
Search System
Query Reformulation =
and
Relevance Feedback
Source
Reselection
•<= /span> Speech Processing = ;
•<= /span> Computational Linguistics
•<= /span> Information Retrieval=
•<= /span> Information Seeking &= #13;
•<= /span> Human-Computer Interaction
•<= /span> Digital Archives
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The MALACH Project
Speech
Technology
English
Czech
Russian
Slovak
&#= 13;
Language
Technology
Topic Segmentation
Categorization
Extraction
Translation
Interactive
Search
Systems
Interface Development
User Studies
Search
Technology
Test Collection
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The MALACH/CLEF Team
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>USC (Shoah Foundation)
= –Sam Gustman
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>IBM TJ Watson =
= –Bhuvana Ramabhadran
= –Martin Franz
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>U. Maryland
= –Doug Oard
= –Dagobert Soergel
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Johns Hopkins =
= –Zak Schafran
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>U. Cambridge (UK)&= #13;
= –Bill Byrne
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Charles University (CZ)
= –Jan Hajic
= –Pavel Pecina
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>U. West Bohemia (CZ)
= –Josef Psutka
= –Pavel Ircing
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Dublin City Univer= sity (IE)
= –Gareth Jones
•<= span style=3D'font-size:86%;color:#3333CC;mso-color-index:5'>Budapest U Tech+Ec= on (HU)
= –Tibor Fegyo
= –Peter Mihajlik
USA
Europe
•= IBM India
–Nanda Kambhatha
Asia
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•Spontaneous conversational speec= h
»<= span style=3D'color:#3333CC;mso-color-index:5;display:none'> =
•Digitized
»<= span style=3D'color:#3333CC;mso-color-index:5;display:none'> =
•Large
&= #8211;116,000 hours;  52,000 people;  32 languages
»<= span style=3D'color:#3333CC;mso-color-index:5;display:none'> =
•Full-description segment indexin= g
&= #8211;10,000 hours, ~150,000 topical segments
» <= /div>
•Real users
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Interview Excerpt
&#= 8226;Content characteristics
&= #8211;Domain-specific terms
&= #8211;Named entities
» <= /div>
&#= 8226;Audio characteristics
&= #8211;Accented (this one is unusually clear)
&= #8211;Two channels (interviewer / interviewee)
» <= /div>
&#= 8226;Dialog structure
&= #8211;Interviewers have different styles
=
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Outline
•The MALACH Project
•
ØLearning from our users
•
•Evaluatin= g new access technologies
•
•What̵= 7;s left to do?
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0123.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Who Uses the Collection?
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•History=
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Linguis= tics
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Journal= ism
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Material culture
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Educati= on
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Psychol= ogy
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Politic= al science
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Law enf= orcement
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Book= 3;
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Documen= tary film
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Research paper
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•CDROM&#= 13;
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Study guide
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Obituar= y
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Evidenc= e
<= span class=3DHBB style=3D'position:absolute;left:-10.36%'>•Persona= l use
<= u>Discipline
<= u>Products
Based = on analysis of 280 access requests
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0216.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
2002-2003 Observational Studies
R= 26;   8 independent searchers = ;
= –Holocaust studies (2)
= –German Studies
= –History/Political Science
= –Ethnography
= –Sociology
= –Documentary producer
= –High school teacher
• <= /div>
R= 26;   8 teamed searchers
= –All high school teachers
–
R= 26;   Thesaurus-based search =
» <= /div>
R= 26;   Rich data collection
= –Intermediary interaction
= –Semi-structured interviews
= –Observer’s notes
= –Participant notes
= –Screen capture
» <= /div>
R= 26;   Qualitative analysis
= –Theory-guided coding
= –Abductive reasoning
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Scholars: Relevance Criteria
Relevance Judgment
Query Reformulation
Information = = Need
Query
S1
G1
A1
Situation n
Gap Action n
Browse Only
 - Accessibility (6%)
 - Richn= ess (6%)
 - Emoti= on (3%)
 - Durat= ion (2%)
 - Miscellaneous (3%)
     Query & Browse
    - Topicality (76%)= 3;
    - Comprehensibility (2%)
    - Novelty of content (1%)
    - Acquaintance (1%)
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file:///C:/B278E251/796f0711_files/slide0219.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Scholars: Topic Types
Total mentions
6 Scholars, 1 teacher, 1 movie producer, working individually
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Basis for Query Reformulation
=
=
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Searcher’s prior knowledge (31%) <= /span>
<= span style=3D'mso-special-format:bullet;position:absolute;left:-5.88%;top:-.15e= m; font-size:120%'>•Viewing an interview or segment (20%)
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Help from an intermediary (15%) <= /div>
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Thesaurus (13%)
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Assigned descriptors (12%)
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Pre-interview questionnaire (6%) =
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.08%;top:-.15e= m; font-size:120%'>•Result set size (4%)
Total
Of 40%
From
Classification
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Teachers: Search Strategies
•Scenario-guided searching
–Look for experiences t= hat would reflect themes
–<= /span>
•Proxy searching
–Descriptors & interview questions
–<= /span>
•Browsing
–Listened to testimonies for inspiration
–Used thesaurus for ide= as and orientation
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0222.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
3D"Cycle
Iterati= ng Searching & Planning
•“Yesterday= in my search, I just felt like I = was kind of going around in t= he dark. But that producti= ve writing session really di= rected my search.”
Clar= ify themes & defi= ne lessons
Search & view = testimony
Group discussions clarify themes and defi= ne activities, which hone teachers’ criteria
Test= imonies give teachers ideas on what= to discuss in the classroom (topic) and = how to introduce it (activity).
•“We actual= ly looked at the testi= monies that we found befor= e we started writing the le= sson ... We really start= ed with the testimony and b= uilt our lesson around it.”=
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Teachers: Relevance Criteria
•R= elevant to teaching content/ method
–A: Relationship to theme
–B= : As part of broader curriculum
–C: Characteristics of the story
–D: Relationship of story to student
–E: Represents different populations
–F: Characteristics of Oral History
–
•Ap= propriateness
–D= evelopmental
–A= cceptability to stakeholders
–
•Le= ngth-to-contribution ratio
–
•Te= chnical production quality
•B: Relates to other schoolwork
•B: Variety for the classroom
•B: Vocabulary
–
•C: Positive Message for Students
•C:= Role of Interviewee in Holocaust Events
–
•D: Students connect with passage
•D: Students identify with interviewee
•D: Radical difference from students’ reality
»
•E= : Age of interviewee at time of events
•E: Race
»
•F: Expressive power
•F: Language & verbal expression
•F: Nonverbal Communication
•F: Diction
•F= : Flow of interview
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Tie Into Curriculum
=
•Relates to other school work
&#= 8226;
&#= 8226;
&#= 8226;
&#= 8226;
&#= 8226;
•Suggests:
– Q= uery by published example
<= span style=3D'mso-special-format:bullet;position:absolute;left:-2.43%'>–<= /span>Using vocabulary lists to prime ASR
3D"bitten
“I am dealing with the Holocaust through literature. You know, Night, Anne Frank’s diaries … I would very much like = = to see [segments] that specifically relate = to various pieces of literature.”
Students’ learning can be more meaningful and teachers can gain some credibility if there are recurring themes throughout the students’ school-wide curriculum. Teachers look at how criteria will fit into the bigger pictur= e in several ways. This first criterion, Relates to other school work, is exemplified in this quote from a teacher of Holocaust Literature.<= br>
[CLICK]
The other criteria that relate classroom content to the curriculum are variety for the classroom, which acts as a counterbalance for “Relates to o= ther school work,” and Vocabulary, because teachers are constantly looki= ng for opportunities to present new and interesting vocabulary to students.<= /font>
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------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0225.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Linking Students to a Story
=
•Students identify with interviewee <= /div>
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•Suggests
– Demographic search constraints = ;
– Indexing characteristics, not just= words
3D"bitten
“Here she is, this older lady, but= she became a 16-year-old girl when she was = <= span style=3D'font-family:Arial;mso-ascii-font-family:Arial;mso-bidi-font-famil= y: Arial'>talking. I saw her in her school uniform = on the day of graduation. She was so = proud of the way she looked, and she felt = so sophisticated.”
The most direct way for these links to happen are to find stories with demographic characteristics similar to the students. We see this in the criterion, “Students identify with interviewee.”
[CLICK]
This next quotation is from a 10th-grade teacher in an all girls school. She found a segment where a woman describes an experience she had= a a 16-year-old girl. The teacher knew this passage would resonate with her students.
[CLICK]
The “students connect with story” criterion is a little broader t= han the previous criterion in that students might empathize with and be compe= lled by stories of people, even when they don’t share demographic characteristics or personal experiences.
The radical difference from students reality refers to teachers’ desire= to disrupt students’ sense of security a little and challenge some of their preconceptions about justice, heroism, and accomplishment. They can also use Holocaust survivor stories to expose their students to people wh= ose lives are radically different than their own.
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2006 Observational Study (Teachers)
•
•
C= urriculum & Standards
Objectives
Topics
Topics
S= egments for Students
3D"Rounded
Developing Relevance Crite= ria
3D"Rounded
 Criteria &
Select Segments
U.S. History – Civil Ri= ghts
“make the connection- there are survivors … who went on to teach college classes in black s= chools in the south”
H= olocaust experience for Jews & other v= ictim groups; Racial and ethnic d= iscrimination in U.S.
African American soldiers; Survivor perspectives on Civil Rights movement
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User Study Limitations
=
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.13%;top:-.15e= m; font-size:120%'>•Generalization
-Exploratory rather than comparative <= /div>
-Results influenced by system and domain
-
<= span style=3D'mso-special-format:bullet;position:absolute;left:-6.13%;top:-.15e= m; font-size:120%'>•Limited number of study participants
-Insufficient to observe group differences
»
<= span style=3D'mso-special-format:bullet;position:absolute;left:-5.76%;top:-.15e= m; font-size:120%'>•Lack of prior experience with the system = ;
-Experienced users may behave differently<= /div>
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0228.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Outline
•The MALACH Project
•
•Learning = from our users
•
ØEvaluating new access technologies
•
•What̵= 7;s left to do?
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0229.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
English Transcription Accuracy
<= ![endif]>
Training: 200 hours from 800 speakers
ASR2003A
ASR2004A
ASR2006A
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R0lGODlhIAAgAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAf ACAAgAAAAOkLegJghI8Zke29olyvgomnRbnHfXmilTndg4GpooGhxLXu+xnyTDM5zlI7f9DAgEHY kGg7IZOlZe6I9DhpVKexFr1igUIo73ibyVbiG3lzZm5R4WL76WOLlKR5umL3qkbT5KwAADs= ------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0230.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Speech Retrieval Evaluations
&#= 8226;1996-1998: TREC SDR
&= #8211;EN broadcast news / EN queries
» <= /div>
&#= 8226;1997-2004: TDT
&= #8211;EN+CN+AR broadcast news / Query by example
» <= /div>
&#= 8226;2003-2004: CLEF CL-SDR
&= #8211;EN broadcast news / Many query languages
» <= /div>
&#= 8226;2005-2007: CLEF CL-SR
&= #8211;EN+CZ interviews / Many query languages
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Automatic
Search
Boundary
Detection
Interactive
Selection
Content
Tagging
Speech
Recognition
Query
Formulation
English Test Collection Design
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English Test Collection Design
Automatic
Search
Boundary
Detection
Speech
Recognition
Query
Formulation
Topic Statements
Ranked Lists
Evaluation
Mean Average Precision
Interviews
Content
Tagging
Manual:     Topic boundarie= s
~5 Thesaurus labels
Synonyms/broader terms =
Person names
3-sentence summaries
Thesaurus labels =
Synonyms/broader terms
40% domain-tuned
  63 topics
33 topics
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2006/07 CL-SR English Collection
&#= 8226;8,104 topically-coherent segments
&#= 8211;297 English interviews
&#= 8211;Known-boundary condition (“Segments”)
&#= 8211;Average 503 words/segment
&#= 8226;96 topics
&#= 8211;Title / Description / Narrative
&#= 8211;63 training + 33 evaluation
&#= 8211;6 topic languages (CZ, DE, EN, FR, NL, SP)
&#= 8226;Relevance judgments
&#= 8211;Search-guided + “highly ranked” (pooled)
&#= 8226;Distributed to track participants by ELDA
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&= lt;DOC>
<= DOCNO>
<= INTERVIEWDATA>
<= NAME>
<= MANUALKEYWORD>
<= SUMMARY>
<= ASRTEXT2003A>=
<= ASRTEXT2004A>=
<= ASRTEXT2006A>=
<= ASRTEXT2006B>=
<= AUTOKEYWORD2004A1<= AUTOKEYWORD2004A2
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Supplementary Resources
&#= 8226;Thesaurus (Included in the test collection)
R= 11;~3,000 core concepts
&#= 8226;Plus alternate vocabulary + standard combinations
R= 11;~30,000 location-time pairs, with lat/long
R= 11;Is-a, part-whole, “entry vocabulary”
» <= /div>
&#= 8226;Digitized speech
R= 11;.mp2 or .mp3
» <= /div>
&#= 8226;In-domain expansion collection (MALACH)
R= 11;186,000 scratchpad + 3-sentence summaries
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=
=
=
 Manually Assigned Thesaurus Terms
3D"Text
Number of Assigned Thesaurus Ter= ms
Mean
End of
Interview
3D"Left
Mean
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file:///C:/B278E251/796f0711_files/slide0238.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Sequence-Based Classification
Temporal Label Weights (TLW)
(Based on Absolute Position)
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Seg = 2: “My playmates included …”
Seg = 3: “Later, we moved to Munich …”
Seg = 4: “That’s when things started to …”
Seg 1       Seg 2       Seg 3      Seg 4
Thesaurus Terms
Time-Shifted Classification (TSC)
(Based on Relative Position)
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Content-Location: file:///C:/B278E251/796f0711_files/slide0239.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Sequence Modeling Results
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An English Topic
N= umber: 1148
T= itle: Jewish resistance in Europe
D= escription:
Provide testimonies or describe actions of Jewish resistance in Europe befo= re and during the war.
N= arrative:
The relevant material should describe actions of only= - or mostly Jewish resi= stance in Europe. Both individual and group-based actions are relevant. Type of actions may include survival (fleeing, hiding, saving children), test= ifying (alerting the outside world, writing, hiding testimonies), fighting (partisans, uprising, political security) Information about undifferentiated resi= stance groups is not relevant.
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The 118 CL-SR Topics
38
2005 English
Training
25
2005 English
Evaluation
33
2006/07 English
Evaluation
9
Unused
13
Czech
Safety
1
2006 Czech
Evaluation
+
3
2007 Czech
Evaluation
28
2006 Czech
Evaluation
+
41
2007 Czech
Evaluation
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5-level Relevance Judgments
&#= 8226;“Classic” relevance (to “food in Auschwitz”)
ØDirect Knew = food was sometimes withheld
ØIndirect Saw undernourished people
•
•Additional relevance types
ØContext Inte= nsity of manual labor
ØComparison Fo= od situation in a different camp
ØPointer Mentio= n of a study on the subject
Binary qrels
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English Assessment Process
&#= 8226;Search-guided
&= #8211;Iterate topic research/query formulation/judging
&= #8226;Grad students in History, trained by librarians
&= #8211;Essential for collection reuse with future ASR
&= #8211;Done between topic release and submission
» <= /div>
&#= 8226;Highly-ranked (=3D“Pooled”)
&= #8211;Same assessors (usually same individual)
&= #8211;Pools formed from two systems per team
&= #8226;Top-ranked documents (typically 50)
&= #8226;Chosen in order recommended by each team
&= #8226;Omitting segments with search-guided judgments
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Quality Assurance
&#= 8226;14 topics independently assessed
&= #8211;0.63 topic-averaged kappa (over all judgments)
&#= 8211;44% topic-averaged overlap (relevant judgments)
&= #8211;Assessors later met to adjudicate
• <= /div>
&#= 8226;14 topics assessed and then reviewed
&= #8211;Decisions of the reviewer were final
»
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Assessor Agreement (2004)
14 topics, 4 assessors in 6 pairings, 1806 judgments<= /span>
(2122)       (1592)        = ;  (184)        = ;  (775)        = ;   (283)        = ;  (235)
44% topic-averaged overlap for Direct+Indirect 2/3/4 judgments
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English Relevance Judgments
2005 Training Topics (38)
Unused (12)
2005 Evaluation Topics (25)
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CLEF-2006 CL-SR Overview
&#= 8226;2 tasks: English segments, Czech start times
&= #8211;Max of 5 “official” runs per team per task
&#= 8211;Baseline English run: ASR / English TD topics
&#= 8226;7 teams / 6 countries
&= #8211;Canada: Ottawa (EN, CZ)
&= #8211;Czech Republic: West Bohemia (CZ)
&= #8211;Ireland: DCU (EN)
&= #8211;Netherlands: Twente (EN)
&= #8211;Spain: Alicante (EN), UNED (EN)
&= #8211;USA: Maryland (EN, CZ)
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0246.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
2006 English Results
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Contributions by Assessment Type <= /div>
2005 Evaluation topics, Binary relevance
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Search-Guided Rankings (2005)
Mean uninterpolated average precision, 35 Official CLEF-2005  runs, 25 evaluation topics
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Retrieval
Highly-Ranked Rankings (2005)
Mean uninterpolated average precision, 35 Official CLEF-2005  runs, 25 evaluation topics
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Comparing Index Terms (2003)
Topical relevance, adjudicated judgments, Inquery
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Maryland English Results (2005)
25 evaluation topics, English TD queries
Precision@10
0.28
0.27
0.48
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Compar= ing ASR with Metadata (2005)
CLEF-2005 training + test – (metadata < 0.2), ASR2004A only, Title queries, Inquery 3.1p1
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text/html; charset="us-ascii" Image and Sound Retrieval
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volkswagen
jews
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eichmann
witness
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sobibor (5/13) death camp
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sinti roma
holocaust
aeg
telefunken
slave labor
&#= 13;
ig farben
labor camps
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&#= 13;
art auschwitz
&#= 13;
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minsko (21/71) ghetto underground
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abusive fe= male (8/81) personnel
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eichmann
wallenberg (3/36)
&#= 13;
wallenberg (3/36)* rescue jews
Only in Metadata
Somewhere in ASR
 (ASR/Metadata)
Error Analysis
(2005)
CLEF-2005 training + test – (metadata < 0.2), ASR2004A only, Title queries, Inquery 3.1p1
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2004 Error Analysis
bulgaria save jew
jew shanghai
jewish partisan poland
fort ontario refugee camp
ghetto life
kindertransport
jewish kapo
liber buchenwald dachau
sonderkommando auschwicz
bomb birkeneneau
wallenberg eichmann
<= /div>
minsk ghetto underground
aeg
telefunken
slave labor
ig farben
labor camp
volkswagen
jew
eichmann
wit
On= ly in Metadata
in ASR Lexicon
Some= where in ASR Results
(bold occur in <35 segments)
Title queries, adjudicated judgments, Inquery<= /div>
ASR % of Metadata
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Correcting Relevant Segments
Title+Description+Narrative queries
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Other Languages
  10/01       4/0= 2      10/02      4/03     10/03       4/0= 4     10/04       4/0= 5     10/05       4/0= 6     10/06
30
=
40
=
50
=
60
=
70
WER [%]
Czech
Russian
Slovak
Polish
= 45h + LMTr
= 84h + LMTr
= + LMTr+TC
+ standard.
= 57.92%
= 45.91%
= 41.15%
= 38.57%
= 35.51%
+ adapt.
= 20h + LMTr
66.07%
50.82%
= 34.49%
Hungarian
= 100h + LMTr
+ stand.+LMTr+TC
= 100h + LMTr
+ stand.+LMTr+TC
45.75%
= 40.69%
50%
25h
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2006: Czech Test Collection
&#= 8226;Two sets of speech recognition transcripts
&#= 8211;Each with both channels recognized
»
&#= 8226;Queries in Czech or (for CLIR) English
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&#= 8226;Unknown-boundary evaluation measure
&#= 8211;Based only on passage start times
&#= 8211;Start and end time assessments available
»
•
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Standard Resources for Czech
&#= 8226;Brain-dead automatic segmentation
&= #8211;400-word passages, with 67% overlap
&= #8211;Start time used as DOCNO
&#= 8226;Prague Dependency Treebank (LDC)
&= #8211;Czech/English translation lexicon
&= #8226;Includes precompiled morphology and probabilities
&= #8211;Czech morphology
&= #8226;For both formal and colloquial
&#= 8226;Partially translated thesaurus
&= #8211;Most commonly used terms, single translation
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Interview Usage
0
30
60
90
120
150
180
Minutes from interview start
3D"Text=
…
3D"Text
…
3D"Text
…
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3D"Text
Czech
3D"Text
English
3D"Text
800
ASR Train
3D"Text
297
IR Eval
3D"Text=
335
Seen
3D"Text
22
Unseen
Unseen
Seen
ASR Train
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Czech Relevance Assessment
&#= 8226;Czech subject experts assessors
&= #8211;New assessment system for unsegmented audio
&= #8211;2 assessor training topics available for debugging
» <= /div>
&#= 8226;Search-guided assessment run in advance
&= #8211;Search based on onset marks + ASR results
&= #8211;Summaries from translated thesaurus + ASR
» <= /div>
&#= 8226;Highly-ranked after run submission failed
&= #8211;Time-base misalignment made this less useful
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Czech Assessment System
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Czech Relevant Passages
Breakdown not available for topics 1286 (70 passages), 2253 (124 passages)
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Czech Judgment Rate
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Topic-Independent Passages (EN)
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Generalized Average Precision
.1
.4
.3
G= AP=3D0.1/1 + (0.1+0.4)/2 + (0.1+0.4+0.3)/3 <= /div>
        =3D 0.46
.9
.8
1.0
G= AP=3D0.9/2 + (0.9+0.8)/4 + (0.9+0.8+1.0)/3 <= /div>
       =3D= 0.46
Key Idea: Weight contribution to average
        = ;        precision by f(absolute error)
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UWB Czech ASR-Only Results
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CLEF CL-SR Legacy
= 226;Test collection available from ELDA
&= #8211;IR
&= #8211;CLIR
&= #8211;Topic classification
&= #8211;Topic segmentation
&#= 8226;Baseline results
&= #8211;Evaluation measures
&= #8211;System descriptions
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0268.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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Density of Year Mentions in 35% WER ASR
Mean: 2 mentions in every 3 segments
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file:///C:/B278E251/796f0711_files/slide0270.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
English Information Extraction
&#= 8226;Entity detection
&= #8211;In hand-built transcripts: F =3D 66%
&= #8211;In speech recognition: F = =3D 11%
»
&#= 8226;Relationship detection
&= #8211;In hand-built transcripts: F =3D 28%
&= #8211;In speech recognition: F = =3D 0% (!)
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and Sound Retrieval
Extractive Summarization
SUMM= ARY:
why don t we start with you saying anything in your a= bout grandparents gre= at grandparents...w= ell as a small child i remember only one of my grandfathers and his wife...didn t even have a store he just had a few sac= ks of different flour and...chela but two killers of flour we have to remember related times we= re there was...
SEGM= ENT ASR (35% WER):
oh i ll  you know are yeah yeah yeah yeah yeah yeah yeah  the very why don t we start with = you saying anything in your abou= t grandparents grea= t grandparents  well as a small child i remember = only one of my grandfathers and his wife his second wife he was selling flour and the type of busi= ness it was he didn t even have a store he just a few sacks of different flour and the entrance of an apartment buil= ding and people would pass by everyday and buy a chela but two killers of flour we have to remember related times we= re there was no already baked bread so people had to baked her = own bread all the time for some strange reason i do remember fresh rolls where everyone would buy every day but not the bread so that was the business that s how he made= a living where was this was the name of the town  it wasn t shammay dish he ours is we be and why i as i know in southern poland and alisa are close to her patient mountains  it was rather mid sized town and uhhuh i was and the only child and the family i had a governess who was with me all their long from the time i got up until i went to sleep she washed me practice piano she took me to ballet lessons she took me = skiing and skating wherever there was else that I was doing being non reach higher out i needed other children to players and the governors were always follow me and stay with= me while  ours twang that i was a rotten spoiled care from work to do family the youngest and the large large family and everyone was door in the army
QUERY: grandparents
KEYW= ORDS:
Gran= dfathers, socioeconomic status, cultural and social activities
Prze= mysl (Poland), Poland 1926 (May 12) - 1935 (May 12), Poland 1935 (May 13) - 1939 (August 31)
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Outline
•The MALACH Project
•
•Learning = from our users
•
•Evaluatin= g new access technologies
•
ØWhat’s left to do?
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What We’ve Learned
&#= 8226;ASR-based search works
&= #8211;Breakeven for hand transcription: ~1,000 hours
&= #8211;Breakeven for thesaurus tagging: ~5,000 hours
&= #8211;Inaccessible content clusters by speaker
» <= /div>
&#= 8226;Supervised classification works
&= #8211;Global+local sequence provide useful evidence
» <= /div>
&#= 8226;Entity extraction is weak, relationships fail
» <= /div>
&#= 8226;Segmentation should be topic-specific
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Things MALACH Won’t Do
•New guidelines for oral history collection
•Transcript-based acces= s to oral history audio
•Less expensive domain tuning for ASR
•Faster (=3Dcheaper) ASR= for large collections
•Improved handling of o= ut of vocabulary terms
•Strategies for ASR-bas= ed searching
•Access paradigms other than ranked lists
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For More Information
»
&#= 8226;CLEF Cross-Language Speech Retrieval track
&= #8211;http://clef-clsr.umiacs.umd.edu/
• <= /div>
&#= 8226;The MALACH project
&= #8211;http://malach.umiacs.umd.edu/
–
• <= /div>
&#= 8226;NSF/DELOS Spoken Word Access Group
&= #8211;http://www.dcs.shef.ac.uk/spandh/projects/swag
»
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Other Possibly Useful Features
&#= 8226;Channel characteristics
&= #8211;Cell phone, landline, studio mike, ...
&#= 8226;Accent
&= #8211;Another way of grouping speakers
&#= 8226;Prosody
&= #8211;Detecting emphasis could help search or browsing
&#= 8226;Non-speech audio
&= #8211;Background sounds, audio cues
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New Zealand Melody Index
&#= 8226;Index musical tunes as contour patterns
&= #8211;Rising, descending, and repeated pitch
&= #8211;Note duration as a measure of rhythm
&#= 8226;Users sing queries using words or la, da, …
&= #8211;Pitch tracking accommodates off-key queries
&#= 8226;Rank order using approximate string match
&= #8211;Insert, delete, substitute, consolidate, fragment
&#= 8226;Display title, sheet music, and audio
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Contour Matching Example
&#= 8226;“Three Blind Mice” is indexed as:
&= #8211;*DDUDDUDRDUDRD
&= #8226;* represents the first note
&= #8226;D represents a descending pitch (U is ascending)
&= #8226;R represents a repetition (detectable split, same pitch)
&#= 8226;My singing produces:
&= #8211;*DDUDDUDRRUDRR
&#= 8226;Approximate string match finds 2 substitutions
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Muscle Fish Audio Retrieval
&#= 8226;Compute 4 acoustic features for each time slice
&= #8211;Pitch, amplitude, brightness, bandwidth
&#= 8226;Segment at major discontinuities
&= #8211;Find average, variance, and smoothness of segments
&#= 8226;Store pointers to segments in 13 sorted lists
&= #8211;Use a commercial database for proximity matching
&= #8226;4 features, 3 parameters for each, plus duration
&#= 8211;Then rank order using statistical classification
&#= 8226;Display file name and audio
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+jRRSGHnzf8APZ/++jR583/PZ/8Avo0UUwDz5v8Ans//AH0aZNPN5R/ev/30aKKTHHdH/9l= ------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0010.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Summary
&#= 8226;Limited audio indexing is practical now
&= #8211;Audio feature matching, answering machine detection
• <= /div>
&#= 8226;Present interfaces focus on a single technology
&= #8211;Speech recognition, audio feature matching
&= #8211;Matching technology is outpacing interface design
------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/slide0275.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Human History
Oral Tradition
Writing
Human Future
Writing and Speech
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‹header›
‹date/time›=
Click to edit Master text styles
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‹#›
-Date is often associated with query formulation. That is searchers often wanted to limit their search by date. -Program title – Users who were familiar with some program names were often a= ble to tell the ‘type’ of a story by looking at the program title.=
 
Students’ learning can be = more meaningful and teachers can gain some credibility if there are recurring themes throughout the students’ school-wide curriculum. Teachers loo= k at how criteria will fit into the bigger picture in several ways. This first criterion, Relates to other school work, is exemplified in this quote from= a teacher of Holocaust Literature.
[CLICK]
The other criteria that relate classroom content to the curriculum are var= iety for the classroom, which acts as a counterbalance for “Relates to ot= her school work,” and Vocabulary, because teachers are constantly looking for opportunities to present new and interesting vocabulary to students.
The most direct way for these li= nks to happen are to find stories with demographic characteristics similar to the students. We see this in the criterion, “Students identify with interviewee.”
[CLICK]
This next quotation is from a 10th-grade teacher in an all girls sch= ool. She found a segment where a woman describes an experience she had a a 16-year-old girl. The teacher knew this passage would resonate with her students.
[CLICK]
The “students connect with story” criterion is a little broader than the previous criterion in that students might empathize with and be compelled by stories of people, even when they don’t share demograph= ic characteristics or personal experiences. The radical difference from students reality refers to teachers’ desire to disrupt students̵= 7; sense of security a little and challenge some of their preconceptions abou= t justice, heroism, and accomplishment. They can also use Holocaust survivor stories = to expose their students to people whose lives are radically different than their ow= n.
•<= /span>
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function SupportsPPTAnimation() { return( navigator.platform =3D=3D "Win32"= && navigator.appVersion.indexOf("Windows")>0 ) } function SupportsPPTHTML() { var appVer=3Dnavigator.appVersion, msie=3DappVer.indexOf("MSIE "), ver=3D0 if( msie >=3D 0 ) ver=3DparseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) ) else ver=3DparseInt(appVer) return( ver >=3D 4 && msie >=3D 0 ) } function _RSW() { if( !g_supportsPPTHTML || IsNts() || ( !g_scaleInFrame && (!IsWin("PPTSld") || !parent.IsFullScrMode()) ) ) return var padding=3D0; if( IsWin("PPTSld") && parent.IsFramesMode() ) padding=3D6 cltWidth=3Ddocument.body.clientWidth-padding cltHeight=3Ddocument.body.clientHeight-padding factor=3D(1.0*cltWidth)/g_origW if( cltHeight < g_origH*factor ) factor=3D(1.0*cltHeight)/g_origH newSize =3D g_origSz * factor if( newSize < 1 ) newSize=3D1 s=3DSlideObj.style s.fontSize=3DnewSize+"px" s.posWidth=3Dg_origW*factor s.posHeight=3Dg_origH*factor s.posLeft=3D(cltWidth-s.posWidth+padding)/2 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hrefList("slide00= 99.htm",1,-1,1),new hrefList("slide0056.htm",1,-1,1),new hrefList("slide008= 7.htm",1,-1,1),new hrefList("slide0088.htm",1,-1,1),new hrefList("slide0073= .htm",1,-1,1),new hrefList("slide0090.htm",1,-1,1),new hrefList("slide0058.= htm",1,-1,1),new hrefList("slide0013.htm",1,-1,1),new hrefList("slide0079.h= tm",1,-1,1),new hrefList("slide0103.htm",1,-1,1),new hrefList("slide0104.ht= m",1,-1,1),new hrefList("slide0105.htm",1,-1,1),new hrefList("slide0106.htm= ",1,-1,1),new hrefList("slide0107.htm",1,-1,1),new hrefList("slide0108.htm"= ,1,-1,1),new hrefList("slide0109.htm",1,-1,1),new hrefList("slide0207.htm",= 1,-1,1),new hrefList("slide0208.htm",1,-1,1),new hrefList("slide0209.htm",1= ,-1,1),new hrefList("slide0210.htm",1,-1,1),new hrefList("slide0211.htm",1,= -1,1),new hrefList("slide0212.htm",1,-1,1),new hrefList("slide0213.htm",1,-= 1,1),new hrefList("slide0214.htm",1,-1,1),new hrefList("slide0215.htm",1,-1= ,1),new hrefList("slide0123.htm",1,-1,1),new hrefList("slide0216.htm",1,-1,= 1),new hrefList("slide0217.htm",1,-1,1),new hrefList("slide0218.htm",1,-1,1= ),new hrefList("slide0219.htm",1,-1,1),new hrefList("slide0220.htm",1,-1,1)= ,new hrefList("slide0221.htm",1,-1,1),new hrefList("slide0222.htm",1,-1,1),= new hrefList("slide0223.htm",1,-1,1),new hrefList("slide0224.htm",1,-1,1),n= ew hrefList("slide0225.htm",1,-1,1),new hrefList("slide0226.htm",1,-1,1),ne= w hrefList("slide0227.htm",1,-1,1),new hrefList("slide0228.htm",1,-1,1),new= hrefList("slide0229.htm",1,-1,1),new hrefList("slide0230.htm",1,-1,1),new = hrefList("slide0231.htm",1,-1,1),new hrefList("slide0232.htm",1,-1,1),new h= refList("slide0233.htm",1,-1,1),new hrefList("slide0234.htm",1,-1,1),new hr= efList("slide0236.htm",1,-1,1),new hrefList("slide0237.htm",1,-1,1),new hre= fList("slide0238.htm",1,-1,1),new hrefList("slide0239.htm",1,-1,1),new href= List("slide0240.htm",1,-1,1),new hrefList("slide0241.htm",1,-1,1),new hrefL= ist("slide0242.htm",1,-1,1),new hrefList("slide0243.htm",1,-1,1),new hrefLi= st("slide0181.htm",1,-1,1),new hrefList("slide0279.htm",1,-1,1),new hrefLis= t("slide0244.htm",1,-1,1),new hrefList("slide0245.htm",1,-1,1),new hrefList= ("slide0246.htm",1,-1,1),new hrefList("slide0247.htm",1,-1,1),new hrefList(= "slide0248.htm",1,-1,1),new hrefList("slide0249.htm",1,-1,1),new hrefList("= slide0189.htm",1,-1,1),new hrefList("slide0251.htm",1,-1,1),new hrefList("s= lide0252.htm",1,-1,1),new hrefList("slide0253.htm",1,-1,1),new hrefList("sl= ide0197.htm",1,-1,1),new hrefList("slide0198.htm",1,-1,1),new hrefList("sli= de0255.htm",1,-1,1),new hrefList("slide0256.htm",1,-1,1),new hrefList("slid= e0257.htm",1,-1,1),new hrefList("slide0258.htm",1,-1,1),new hrefList("slide= 0259.htm",1,-1,1),new hrefList("slide0260.htm",1,-1,1),new hrefList("slide0= 261.htm",1,-1,1),new hrefList("slide0262.htm",1,-1,1),new hrefList("slide02= 63.htm",1,-1,1),new hrefList("slide0264.htm",1,-1,1),new hrefList("slide026= 5.htm",1,-1,1),new hrefList("slide0266.htm",1,-1,1),new hrefList("slide0267= .htm",1,-1,1),new hrefList("slide0268.htm",1,-1,1),new hrefList("slide0269.= htm",1,-1,1),new hrefList("slide0270.htm",1,-1,1),new hrefList("slide0271.h= tm",1,-1,1),new hrefList("slide0272.htm",1,-1,1),new hrefList("slide0273.ht= m",1,-1,1),new hrefList("slide0274.htm",1,-1,1),new hrefList("slide0276.htm= ",1,-1,1),new hrefList("slide0057.htm",1,-1,1),new hrefList("slide0027.htm"= ,1,-1,1),new hrefList("slide0029.htm",1,-1,1),new hrefList("slide0014.htm",= 1,-1,1),new hrefList("slide0028.htm",1,-1,1),new hrefList("slide0030.htm",1= ,-1,1),new hrefList("slide0010.htm",1,-1,1),new hrefList("slide0275.htm",1,= -1,1)); /********************************************* Frameset functions These functions control slide navigation and state of the frameset. **********************************************/ function FullScrInit() { g_allowAdvOnClick =3D GetCurSld().mAdvOnClk document.body.style.backgroundColor=3D"black" document.oncontextmenu=3Dparent._CM; document.onkeydown =3D _KDH; document.ondragstart=3DCancel document.onselectstart=3DCancel self.focus() } function Redirect( frmId ) {=09 var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId() if(idx>=3D0) str=3Dstr.substr(1); if( window.name !=3D frmId && ( sId !=3D str) ) { obj =3D GetObj("Main-File") window.location.href=3Dobj.href+"#"+sId return 1 } return 0 } var MHTMLPrefix =3D CalculateMHTMLPrefix();=20 function CalculateMHTMLPrefix() { if ( document.location.protocol =3D=3D 'mhtml:') {=20 href=3Dnew String(document.location.href)=20 Start=3Dhref.indexOf('!')+1=20 End=3Dhref.lastIndexOf('/')+1=20 if (End < Start)=20 return href.substring(0, Start)=20 else=20 return href.substring(0, End)=20 } return ''; } function GetTags(base,tag) { if(g_supportsPPTHTML) return base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('


' + ENDSHOW_MESG + '

') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr= row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() } function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();= PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() } function M_True() { return true } function M_End() { window.close( self ) } function CreateMenuItem( node,text,action,eval ) { var e=3DCreateItem( node ) e.type=3D"menuitem" e.Action=3Daction e.IsActive=3Deval e.innerHTML=3Dtext if( !e.IsActive() ) e.style.color=3D"threedshadow" e.onclick=3DPerform e.onmouseover=3DHighlight e.onmouseout=3DDeselect s=3De.style; 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charset="us-ascii" Image and Sound Retrieval ------=_NextPart_01C82A34.0DCF8930 Content-Location: file:///C:/B278E251/796f0711_files/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 No= tes
Slide Show
Outline
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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