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T.J. Watson Research Center, Natural Language Systems
2/5/2004
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IBM T.J. Watson Research Center
MALACH Advisory Board Meeting, Feb 6, 2004<= /div>
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IBM T.J. Watson Research Cente= r
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------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/master10.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Speech and Music Retrieval
LBSC 796/CMSC828o
Session 12, April 19, 2004
Douglas W. Oard
------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0002.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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
------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0093.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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
------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0093_image005.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhbgAdAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAABs ABwAgAAAAP8AZgJsjI+py+0Po5y02osX2Lz7D4biSJbmCRjoyrbumwbwTNeraue6ju/+z+oBh0SQ sIgkHpPM3bIJpT2j1Na0ijVds9zQtgvmfMPgMZlrPmPTaiq7DX3DmfI5sm5XyvJkPP/n9+e0J4iW cYiYaFEAADs= ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0094.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Some Statistics
<= span class=3DBB style=3D'position:absolute;left:-4.22%'>•2,000 U.S= . radio stations webcasting
– <= /div>
<= span class=3DBB style=3D'position:absolute;left:-3.71%'>•250,000 h= ours of oral history in British Library
– <= /div>
<= span class=3DBB style=3D'position:absolute;left:-3.56%'>•35 millio= n audio streams indexed by SingingFish
<= span class=3DB1B style=3D'position:absolute;left:-3.77%'>–Over 1 m= illion searches per day
– <= /div>
•~100 bill= ion hours of phone calls each year
------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0163.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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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Audio Retrieval
&#= 8226;Retrospective retrieval applications
&= #8211;Search music and nonprint media collections
&= #8211;Electronic finding aids for sound archives
&= #8211;Index audio files on the web
&#= 8226;Information filtering applications
&= #8211;Alerting service for a news bureau
&= #8211;Answering machine detection for telemarketing
&= #8211;Autotuner for a car radio
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The Size of the Problem
•30,000 hours in the Maryland Libraries = ;
–Unique collections with limited physical access
•<= /span>
•Over 100,000 hours in = the National Archives
–With new material arri= ving at an increasing rate
•<= /span>
•Millions of hours broadcast each year
–Over 2,500 radio statio= ns are now Webcasting!
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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
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file:///C:/B348D652/796s0412_files/slide0033_image019.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhyAFEAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAAB AAEAgAAAAAECAwICRAEAOw== ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_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
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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
&#= 8226;All three stages are learned from training data
&= #8211;Using hill climbing (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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&#= 8226;Segment broadcasts into 20 second chunks
&#= 8226;Index phoneme n-grams
&= #8211;Overlapping one-best phoneme sequences
&= #8211;Trained using native German speakers
= 226;Form phoneme trigrams from typed queries
&= #8211;Rule-based system for “open” vocabulary
&#= 8226;Vector space trigram matching
&= #8211;Identify ranked segments by time
ETHZ Broadcast News Retrieval
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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
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ETHZ Broadcast News Retrieval
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Cambridge Video Mail Retrieval
&#= 8226;Added personal audio (and video) to email
&= #8211;But subject lines still typed on a keyboard
&#= 8226;Indexed most probable phoneme sequences
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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_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_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_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0018.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
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Visualizing Turn-Taking
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MIT “Speech Skimmer”
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BBN Radio News Retrieval
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AT&T Radio News Retrieval
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file:///C:/B348D652/796s0412_files/slide0025.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
IBM Broadcast News Retrieval
= 226;Large vocabulary continuous speech recognition
&= #8211;64,000 word forms covers most utterances
&= #8226;When suitable training data is available
&= #8226;About 40% word error rate in the TREC 6 evaluation
&= #8211;Slow indexing (1 hour per hour) limits collection size
&#= 8226;Standard word-based vector space matching
&= #8211;Nearly instant queries
&= #8211;N-gram triage plus lattice match for unknown words
&#= 8226;Ranked list showing source and broadcast time
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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
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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_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_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
•Topic segmentation via vocabulary shift
–More natural breakpoin= ts for browsing
•Speaker segmentation&#= 13;
–Visualize turn-taking behavior for browsing
–Classify turn-taking patterns for searching
–<= /span>
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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
------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_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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Iterative Prototyping Strategy
&#= 8226;Select a user group and a collection
&#= 8226;Observe information seeking behaviors
&= #8211;To identify effective search strategies
&#= 8226;Refine the interface
&= #8211;To support effective search strategies
&#= 8226;Integrate needed speech technologies
&#= 8226;Evaluate the improvements with user studies
&= #8211;And observe changes to effective search strategies
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Broadcast News Retrieval Study
•<= /span>NPR Online
ØManually pr= epared transcripts
ØHuman cataloging
Ø
•= 3;
•<= /span>SpeechBot
ØAutomatic S= peech Recognition
ØAutomatic indexing
•
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NPR Online
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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_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_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
Shoah Foundation’s Collection<= /div>
•Enormous scale
&= #8211;116,000 hours;  52,000 interviews;  180 TB
•Grand challenges
&= #8211;32 languages, accents, elderly, emotional, …
•Accessible
&= #8211;$100 million collection and digitization investment
•Annotated
&= #8211;10,000 hours (~200,000 segments) fully described
•Users
&= #8211;A department working full time on dissemination
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English ASR Accuracy
Training: 200 hours from 800 speakers
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charset="us-ascii" Image and Sound Retrieval
ASR Game Plan
• Hours Word
•Language Transcribed Error Rate
•English 200 39.6%
•Czech 84 39.4%
•Russian 20 (of 100) 66.6%
•Polish
•Slovak
As of = May 2003
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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
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Question Types
&#= 8226;Content
&= #8211;Person, organization
&= #8211;Place, type of place (e.g., camp, ghetto)
&= #8211;Time, time period
&= #8211;Event, subject
&#= 8226;Mode of expression
&= #8211;Language
&= #8211;Displayed artifacts (photographs, objects, …)
&= #8211;Affective reaction (e.g., vivid, moving, …)
&#= 8226;Age appropriateness
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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
= –Observational notes
= –Think-aloud
= –Screen capture
» <= /div>
R= 26;   Qualitative analysis
= –Theory-guided coding
= –Abductive reasoning
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“Old Indexing”
Subject
Person
Location-Time
Berlin-1939        = ;             Employment        = ;          Josef Stein
Berlin-1939        = ;             Family life        = ;             Gretchen Stein
        = ;            &n= bsp;            = ;            &n= bsp;            = ;            &n= bsp;        Anna Stein
Dresden-1939        = ;        Schooling        = ;            &n= bsp;  Gunter Wendt
        = ;            &n= bsp;            = ;            &n= bsp;            = ;            &n= bsp;       Maria
        = ;            &n= bsp;            = ;            &n= bsp;            = ; 
Dresden-1939        = ;        Relocation
        = ;            &n= bsp;            = ;      Transportation-rail        = ;            
3D"Text
interview time
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Table 5. Mentions= of relevance criteria by searchers
 &n= bsp; 2
 &n= bsp; 4
    10 (1.4%)
Novelty
 &n= bsp; 0
 &n= bsp; 9
    11 (1.6%)
Duration
 10 =
 &n= bsp; 1
    14 (2%)
Comprehensibility
 &n= bsp; 0
 &n= bsp; 5
    16 (2.3%)
Audio/Visual Expression 
 &n= bsp; 0
 &n= bsp; 7
    24 (3.4%)
Emotion
 &n= bsp; 0
 14 =
    39 (5.5%)
Richness
234 =
219 =
  535 (76%)
Topicality 
Query
Form.
(N=3D248)
Relevance = Judgment
(N=3D300)
Think-Aloud
All
(N=3D703)
Number of Mentions
Relevance Criteria =
Workshops 1 and 2
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Topicality
Workshops 1 and 2
Total mentions by 8 searchers
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Per= son, by name
Per= son, by characteristics
Date of birth
Gender
Occupation, interviewee
Country of birth
Religion
Social status, interviewee
Social status, parents
Nationality, language
Family status
Address
Occupation, parents
Immigration history
Level of education
Political affiliation
Marital status
Workshops 1 and 2
Per= sonal event/experience
        = ;  Resistance
        = ;  Deportation
        = ;  Suicide
        = ;  Immigration
        = ;  Liberation
        = ;  Escaping
        = ;  Forced labor
        = ;  Hiding
        = ;  Abortion
        = ;  Wedding
        = ;  Murder/Death
        = ;  Adaptation
        = ;  Abandonment
        = ;  Incarceration
Historical event/experience =
        = ;  November Pogrom
        = ;  Beautification
        = ;  Polish Pogrom
        = ;  Olympic games
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7The extent to which the segment provides a useful basis for learni= ng and internalizing v= ocabulary
8The extent to which the cl= ip can be used in several subjects, for example, English, = history, and art.
9 Ease of comprehension10 Expressive power11 Length of the segment, in relation to what it contributes
12 Does the segment communicate enough context? 
Relevance Criteria
<= /div>
1 Relationship to theme
2= Specific topic was less impo= rtant (different from many researchers for whom specific <= /span>topic, such as name of camp or physician as aid giver= , is important)
3= Match of the demographic characteristics; specifically: age of the interviewee at the time= of the events recounted as related to the age of the students for whom a less= on is intended.
4= Language of clip<= span style=3D'font-family:Arial;mso-ascii-font-family:Arial;mso-bidi-font-famil= y: Arial;font-size:67%'>.  Relat= es to student audience and teaching purpose.&nb= sp; English first, Span= ish second
5 Age-appropriateness6A= cceptability to the other stakeholders (parents, administrators, etc.)
7
Workshop 3
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MALACH Overview
Automatic
Search
Boundary
Detection
Interactive
Selection
Content
Tagging
Speech
Recognition
Query
Formulation
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MALACH Test Collection
Automatic
Search
Boundary
Detection
Speech
Recognition
Query
Formulation
Topic Statements
Ranked Lists
Evaluation
Mean Average Precision
Interviews
Content
Tagging
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file:///C:/B348D652/796s0412_files/slide0172_image108.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgBFAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAgAF AEEAgAAAAAAAAAIrRG6ny5wBIoyGVjqlzVfjDX6iR3Ymh4ZlOp6q27LrK8NzTOf47jXLI0HcCgA7 ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0172_image109.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhCgCRAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAgAG AI0AgAAAAAAAAAJTBGIXi+z/jEsoHXttpXjLDmohJ5bk+ZkpmrFeu8bw/NajbKv0veu5y/vhgkRf EWhMIpdDZZPZgwqjzyr1Os0erVondvv1dqXg8QoSUSwka4pnUwAAOw== ------=_NextPart_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/slide0173.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Image and Sound Retrieval
Design Decision #1:
Search for Segments
&#= 8226;“Old indexing” used manual segmentation
&#= 8226;4,000 indexed interviews (10,000 hours)
&#= 8226;1,514 have been digitized (3,780 hours)
&#= 8226;800 of those were used to train ASR
&#= 8226;714 remain for (fair) IR testing
&#= 8226;246 were selected (625 hours)
&= #8226;199 complete interviews, 47 partial interviews
&#= 8226;9,947 segments resulted (17 MB of text)
&= #8211;Average length: 380 words (~3 minutes)
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Design Decision #2:
Topic Construction
&#= 8226;600 written requests, in folders at VHF
&= #8211;From scholars, teachers, broadcasters, …
&#= 8226;280 topical requests
&= #8211;Others just requested a single interview
&#= 8226;70 recast a TREC-like format
&= #8211;Some needed to be “broadened”
&#= 8226;50 selected for use in the collection
&#= 8226;30 assessed during Summer 2004
&#= 8226;28 yielded at least 5 relevant segments
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Design Decision #3:
Defining “Relevance”
&#= 8226;Topical relevance
ØDirect They = saw the plane crash
ØIndirect They= saw the engine hit the building
•
•Confounding factors
ØContext Stati= stics on causes of plane crashes
ØComparison Saw= a different plane crash
ØPointer List = of witnesses at the investigation
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Design Decision #4:
Selective Assessment
&#= 8226;Exhaustive assessment is impractical
&= #8211;300,000 judgments (~20,000 hours)!
•Pooled assessme= nt is not yet possible
&#= 8211;Requires a diverse set of ASR and IR systems
•Search-guided assessment is viable
&= #8211;Iterate topic research/search/assessment
&#= 8211;Augment with review, adjudication, reassessment
&= #8211;Requires an effective interactive search system
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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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Comparing Index Terms
Topical relevance, adjudicated judgments, Inquery
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L= everaging Automatic Categorization
lMotivation:
l MAP on thesaurus terms, title queries: 28.3% (was 7.5% on text)=  
Highlight:
18pt Arial Italic,
teal R045 | G182 | = B179
Text slide with
subheading and highlight
Subheading:
20pt Arial Italics
teal R045 | G182 | = B179
te= xt (transcripts)
ke= ywords
training segments
te= xt (ASR output)
ke= ywords
test  segments
automatic
categorization
in= dex
=
C= ategorizer:
<= span style=3D'mso-tab-count:1;width:4.1%'> k Nearest Neighbors
<= span style=3D'mso-tab-count:1;width:3.71%'> trained on 3,199 manually transcribed segments
<= span style=3D'mso-tab-count:1;width:4.1%'> micro-averaged F1 =3D 0.192
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ASR-Based Search
3D"Text
Mean Average Precision
Title queries, topical relevance, adjudicated judgmen= ts
+30%
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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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Retrieval
0
0
100
1.00
1.0
3
ghettos
false alarm
%=
false alarms
per segm= ent
miss %
misses&#= 13;
per segm= ent
occurrences  per segment
relevant segments
3
19
9
7
9
8
2
21
6
2
13
13
undergrou= nd
ghetto
Minsk
kapos
kapo
Jewish
camps
camp
refugees<= /span>
refugee
Ontario
fort
0.33
1.10
1.70
2.70
2.00
0.75
0
1.20
0.67
0
0.77
0.85
0
0
100
1.7
10
0.32
35
3.2
0
0
63
1.2
0
0
0
1.0
8.3
0.17
33
2.0
0
0
33
3.6
0
0
0
1.0
18
0.38
35
2.1
0
0
78
2.6
25
100
69
0
0
2.7
0
0
1.3
0
0
1.2
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What Have We Learned?
&#= 8226;IR test collection yields interesting insights
&= #8211;Real topics, real ASR, ok assessor agreement
– <= /div>
&#= 8226;Named entities are important to real users
&= #8211;Word error rate can mask key ASR weaknesses
– <= /div>
&#= 8226;Knowledge structures seem to add value
&= #8211;Hand-built thesaurus + text classification
•
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For More Information
&#= 8226;The MALACH project
&= #8211;http://www.clsp.jhu.edu/research/malach/
– <= /div>
&#= 8226;NSF/EU Spoken Word Access Group
&= #8211;http://www.dcs.shef.ac.uk/spandh/projects/swag/
» <= /div>
&#= 8226;Speech-based retrieval
&= #8211;http://www.glue.umd.edu/~dlrg/speech/
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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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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
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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.=
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charset="us-ascii" function LoadSld() { var sld=3DGetObj("SlideObj") if( !g_supportsPPTHTML ) { =09 sld.style.visibility=3D"visible" return } if( MakeNotesVis() ) return runAnimations =3D _InitAnimations(); =09 if( IsWin("PPTSld") ) parent.SldUpdated(GetSldId()) g_origSz=3DparseInt(SlideObj.style.fontSize) g_origH=3Dsld.style.posHeight g_origW=3Dsld.style.posWidth g_scaleHyperlinks=3D(document.all.tags("AREA").length>0) if( g_scaleHyperlinks ) InitHLinkArray() if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) ) document.body.scroll=3D"no" _RSW() if( IsWin("PPTSld") && parent.IsFullScrMode() ) FullScrInit(); =09 MakeSldVis(); ChkAutoAdv() if( runAnimations ) { if( document.all("NSPlay") ) document.all("NSPlay").autoStart =3D false; if( sld.filters && sld.filters.revealtrans ) setTimeout( "document.body.start()", sld.filters.revealtrans.duration * = 1000 ); else document.body.start(); } } function MakeSldVis()=20 { var fTrans=3Dg_showAnimation && SldHasTrans() if( fTrans )=09 { if( g_bgSound ) { idx=3Dg_bgSound.indexOf(","); pptSound.src=3Dg_bgSound.substr( 0, idx ); pptSound.loop=3D -(parseInt(g_bgSound.substr(idx+1))); } SlideObj.filters.revealtrans.Apply()=09 } SlideObj.style.visibility=3D"visible" if( fTrans ) SlideObj.filters.revealtrans.Play() } function MakeNotesVis()=20 { if( !IsNts() ) return false=20 SlideObj.style.display=3D"none" nObj =3D document.all.item("NotesObj") parent.SetHasNts(0) if( nObj ) {=20 nObj.style.display=3D"" parent.SetHasNts(1) } return 1 } function ChkAutoAdv() { if(SldHasTrans()) SlideObj.onfilterchange=3DAutoAdv else AutoAdv() } function AutoAdv() { if(!IsWin("PPTSld") || !gUseSldTimings )return var sld=3DGetCurSld() if( (sld.mAdvDelay>0) && !parent.IsFramesMode() ) setTimeout("parent.GoToNextSld()",sld.mAdvDelay) } function GetObj(id) { if(g_supportsPPTHTML) return document.all(id); else return document.getElementById(id); } function SldHasTrans() { return SlideObj.style.filter !=3D ""; } function GetSldId() { return sId=3Dlocation.href.substring(location.href.la= stIndexOf('/')+1) } function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctx= tmenu") && PPTSld.ctxtmenu.style.display!=3D"none" ) { PPTSld.ctxtmenu.styl= e.display=3D'none'; return true } return false } function IsWin( name ) { return window.name =3D=3D name } function IsNts() { return IsWin("PPTNts") } function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) } 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 s.posTop=3D(cltHeight-s.posHeight+padding)/2 if( g_scaleHyperlinks ) ScaleHyperlinks( factor ) } function _InitAnimations() { animRuntimeInstalled =3D ''+document.body.localTime !=3D 'undefined'; isFullScreen =3D (window.name =3D=3D "PPTSld") && !parent.IsFramesMode(); g_animUseRuntime =3D g_showAnimation && animRuntimeInstalled && !(isFullSc= reen && parent.IsSldVisited()); if( g_animUseRuntime ) { collSeq =3D document.all.tags("seq"); if( collSeq !=3D null ) { for(ii=3D0;ii numSlds ) gSldJumpIdx =3D numSlds; if ( gSldJumpIdx >=3D 0 ) { if ( gSldJumpIdx =3D=3D 0 ) gSldJumpIdx =3D 1; var jumpTo =3D parseInt(gSldJumpIdx); gSldJump =3D 0; gSldJumpIdx =3D ""; win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref ) } } } function _KDH() { if( event.keyCode =3D=3D 8 ) { event.returnValue =3D 0; parent.GoToPrevSld(); } } var g_HLinkArray =3D new Array(); =20 function IMapAreaObj( areaObj, coords ) { this.areaObj =3D areaObj; this.coords =3D coords; } function InitHLinkArray() { var appVer =3D navigator.appVersion; var msie =3D appVer.indexOf ( "MSIE " ) var ver =3D 0; if ( msie >=3D 0 ) ver =3D parseInt ( appVer.substring( msie+5 ) ); linkNum =3D 0; for (i=3D0; i 4 ) ) g_HLinkArray[linkNum++] =3D new IMapAreaObj( areaObj, ParseCoords( ar= eaObj.coords ) ); } } function ScaleHyperlinks( factor ) { =20 for ( ii=3D0; ii< g_HLinkArray.length; ii++) { coordsStr=3D""; imaObj =3D g_HLinkArray[ii]; for ( jj=3D0; jj < imaObj.coords.length-1; jj++ ) coordsStr +=3D (imaObj.coords[jj]*factor) + ","; coordsStr +=3D (imaObj.coords[jj]*factor); imaObj.areaObj.coords =3D coordsStr; } } function ParseCoords( coordsStr ) { var numArray =3D new Array(); var i =3D curPos =3D commaPos =3D 0; while ( ( commaPos =3D coordsStr.indexOf(",", curPos) ) !=3D -1 ) {=20 numArray[i++] =3D parseInt( coordsStr.substr( curPos, commaPos ) ); curPos =3D commaPos + 1; } numArray[i] =3D parseInt( coordsStr.substr( curPos ) ); return numArray; } function DocumentOnClick() { if( IsNts() || parent.HideMenu() ) return; if( ( g_allowAdvOnClick && (window.name=3D=3D"PPTSld") && !parent.IsFrames= Mode() ) || (event && event.keyCode=3D=3D32) ) { =09 if( g_animUseRuntime && g_animMainSequence && g_animMainSequence.cangonex= t ) return; parent.GoToNextSld(); } } var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""= , g_bgSound=3D"", g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser = =3D 0, gLoopCont =3D 0, gUseSldTimings =3D 1; var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w= indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va= r g_animManager =3D null; var g_animUseRuntime =3D false; var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime; var g_animMainSequence =3D null; var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram= es", gIsEndShow=3D0, NUM_VIS_SLDS=3D74, SCRIPT_HREF=3D"script.js", FULLSCR_= HREF=3D"fullscreen.htm"; var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO= tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true window.gPPTHTML=3DSupportsPPTHTML() var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(= "slide0002.htm",1,-1,1),new hrefList("slide0093.htm",1,-1,1),new hrefList("= slide0094.htm",1,-1,1),new hrefList("slide0163.htm",1,-1,1),new hrefList("s= lide0011.htm",1,-1,1),new hrefList("slide0062.htm",1,-1,1),new hrefList("sl= ide0066.htm",1,-1,1),new hrefList("slide0100.htm",1,-1,1),new hrefList("sli= de0098.htm",1,-1,1),new hrefList("slide0032.htm",1,-1,1),new hrefList("slid= e0033.htm",1,-1,1),new hrefList("slide0012.htm",1,-1,1),new hrefList("slide= 0016.htm",1,-1,1),new hrefList("slide0049.htm",1,-1,1),new hrefList("slide0= 020.htm",1,-1,1),new hrefList("slide0024.htm",1,-1,1),new hrefList("slide00= 21.htm",1,-1,1),new hrefList("slide0022.htm",1,-1,1),new hrefList("slide009= 9.htm",1,-1,1),new hrefList("slide0023.htm",1,-1,1),new hrefList("slide0018= .htm",1,-1,1),new hrefList("slide0019.htm",1,-1,1),new hrefList("slide0079.= htm",1,-1,1),new hrefList("slide0073.htm",1,-1,1),new hrefList("slide0087.h= tm",1,-1,1),new hrefList("slide0088.htm",1,-1,1),new hrefList("slide0025.ht= m",1,-1,1),new hrefList("slide0090.htm",1,-1,1),new hrefList("slide0013.htm= ",1,-1,1),new hrefList("slide0058.htm",1,-1,1),new hrefList("slide0057.htm"= ,1,-1,1),new hrefList("slide0056.htm",1,-1,1),new hrefList("slide0055.htm",= 1,-1,1),new hrefList("slide0103.htm",1,-1,1),new hrefList("slide0104.htm",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("slide0111.htm",1,-1= ,1),new hrefList("slide0182.htm",1,-1,1),new hrefList("slide0119.htm",1,-1,= 1),new hrefList("slide0123.htm",1,-1,1),new hrefList("slide0124.htm",1,-1,1= ),new hrefList("slide0165.htm",1,-1,1),new hrefList("slide0166.htm",1,-1,1)= ,new hrefList("slide0167.htm",1,-1,1),new hrefList("slide0168.htm",1,-1,1),= new hrefList("slide0169.htm",1,-1,1),new hrefList("slide0170.htm",1,-1,1),n= ew hrefList("slide0171.htm",1,-1,1),new hrefList("slide0172.htm",1,-1,1),ne= w hrefList("slide0173.htm",1,-1,1),new hrefList("slide0175.htm",1,-1,1),new= hrefList("slide0177.htm",1,-1,1),new hrefList("slide0180.htm",1,-1,1),new = hrefList("slide0181.htm",1,-1,1),new hrefList("slide0189.htm",1,-1,1),new h= refList("slide0206.htm",1,-1,1),new hrefList("slide0190.htm",1,-1,1),new hr= efList("slide0196.htm",1,-1,1),new hrefList("slide0197.htm",1,-1,1),new hre= fList("slide0198.htm",1,-1,1),new hrefList("slide0205.htm",1,-1,1),new href= List("slide0203.htm",1,-1,1),new hrefList("slide0151.htm",1,-1,1),new hrefL= ist("slide0027.htm",1,-1,1),new hrefList("slide0029.htm",1,-1,1),new hrefLi= st("slide0014.htm",1,-1,1),new hrefList("slide0028.htm",1,-1,1),new hrefLis= t("slide0030.htm",1,-1,1),new hrefList("slide0010.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_01C42579.0A56FCC0 Content-Location: file:///C:/B348D652/796s0412_files/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 No= tes
Slide Show
Outline
<= /a>= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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