CSLU: National Cellular Telephone Speech Release 2.3

registration: 2008/03/21 06:18:17, last modified: 2016/08/17 13:26:47
title
  • CSLU: National Cellular Telephone Speech Release 2.3
title.abbreviation
title.alternative
  • National Cellular v2.3
  • National Cellular Corpus Release 2.3
creator
  • developer Center for Spoken Language Understanding (CSLU) at OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, US (corpora@cslu.ogi.edu) (http://www.cslu.ogi.edu)
  • researcher Ron. A. Cole
  • researcher M. Fanty
  • researcher M. Noel
  • researcher T. Lander
  • researcher T. Durham
subject
  • speech corpus
  • speech transcripts database
subject.linguisticField
  • phonetics
  • computational_linguistics
subject.monoMultilingual
  • monolingual
subject.resourceSubject
  • corpus speech corpus
description
  • *Introduction*

    This file contains documentation for CSLU: Nattional Cellular Telephone Speech Release 2.3, Linguistic Data Consortium (LDC) catalog number LDC2008S02 and isbn 1-58563-467-0.

    CSLU: National Cellular Telephone Speech Release 2.3 was created by the Center for Spoken Language Understanding (CSLU) at OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon. It consists of cellular telephone speech and corresponding transcripts, specifically, approximately one minute of speech from 2336 speakers calling from locations throughout the United States. The data collection protocol used for this release is the same protocol used in CSLU: Portland Cellular Telephone Speech Version 1.3 (LDC2008S01).

    Speakers called the CSLU data collection system on cellular telephones, and they were asked a series of questions. Two prompt protocols were used: an In Vehicle Protocol for speakers calling from inside a vehicle and a Not in Vehicle Protocol for those calling from outside a vehicle. The protocols shared several questions, but each protocol contained distinct queries designed to probe the conditions of the caller's in vehicle/not in vehicle surroundings.

    *Recording Details*

    The data were collected with the CSLU T1 digital data collection system. The sampling rate was 8khz, and the files were stored in 8 bit mu-law format on a UNIX file system. In this release, the files are provided in 16-bit linearly encoded Windows wav (riff) format.

    *Transcription*

    The text transcriptions in this corpus were produced using the non time-aligned word-level conventions described in The CSLU Labeling Guide, which is included in the documentation for this release. CSLU: National Cellular Telephone Speech Release 2.3 contains orthographic and phonetic transcriptions of corresponding speech files. Non time-aligned orthographic transcriptions provide quick access to the content of an utterance; they may contain markers for word boundaries to support access and retrieval at the lexical level. Phonetic/phonemic transcriptions represent the phonetic content of an utterance at a given level of detail that is made explicit by the use of diacritics. Phonetic phenomena transcribed includes excessive nasalization, glottalization, frication on a stop, centralization, lateralization, rounding and palatalization.

    *Samples*

    For an example of the data in this corpus, please listen to the following audio samples:

    * speaker 1
    * speaker 2
description.price *This metadata is only as a guide
description.language
  • English
description.inputDevice
  • mobile_phone
description.inputEnvironment
  • in_car
  • outside a vehicle
description.speakingStyle
  • spontaneous_speech
description.speechMode
  • dialogue
description.samplingRate
  • 8 kHz
description.additionalData
  • analysis_parameter two different recording environments: in vehicle/not in vehicle surroundings
  • analysis_parameter non time-aligned orthographic and phonetic transcriptions
publisher
contributor
  • researcher Beatrice Oshika (labeling conventions)
  • researcher Etienne Barnard (labeling conventions)
  • researcher Jim Hieronymus (labeling conventions)
  • researcher Vince Weatherill (labeling conventions)
  • developer Mark Fanty (OGI Speech Tools)
  • developer John Pochmara (OGI Speech Tools)
  • developer Johan Schalkwyk (OGI Speech Tools)
contributor.attribute.author.motherTongue
contributor.attribute.author.dialect
contributor.attribute.author.level
contributor.attribute.author.age
contributor.attribute.author.gender
contributor.attribute.speaker.motherTongue
  • native
contributor.attribute.speaker.dialect
  • standard_dialect
contributor.attribute.speaker.level
  • amateur
contributor.attribute.speaker.age
  • adult
contributor.attribute.speaker.gender
  • male
  • female
contributor.attribute.speaker.number
  • number_of_total_speakers 2336
date.created
  • 0000-00-00 2002-09-22
date.issued
  • 2008-03-19
date.modified
  • 2002-09-22 Release Version 2.3 (this release)
  • 2002-01-28 Release Version 2.2
  • 2000-08-22 Release Version 2.1
  • (date unspecified) Version 2.0 (Contains speech from 1350 (60% male, 40% female) speakers in nine cities)
  • (date unspecified) Version 1.0 (Contains speech from 676 (53% male, 47% female) speakers in four cities)
type
  • Sound
  • Text transcripts
type.discourseType
  • interactive_discourse
type.linguisticType
  • primary_text
type.purpose
  • developing_technologies speaker identification
  • developing_technologies speech recognition
type.style
  • speech questions and answers
type.form
  • fixed simple answers (a word/words) to fixed questions asking one's name, age, native language, name of hometown, birthday and so on
  • unfixed continous speech
type.sentence
  • isolated_words simple answers (words) to fixed questions asking one's name, age, native language, name of hometown, birthday and so on
  • short continous speech
  • long continous speech
type.annotation
  • annotated orthographic and phonetic transcriptions with phonetic phenomina including excessive nasalization, glottalization, frication on a stop, centralization, lateralization, rounding and palatalization, based on "The CSLU Labeling Guide"
type.annotationSample
  • [Non-speech Labels (28)]:
    : grammatically altered word
    : heavily aspirated p, k, or t or puff
    : a beep sound
    : complete silence due to a bad phone line connection
    : background noise
    : background speech

    : breath noise
    : burp
    : cough
    : clear throat

    The rest (18) is omitted.

    http://www.ldc.upenn.edu/Catalog/docs/LDC2008S02/labeling.pdf
  • [Cut-Off Sound Labels]:
    * : cut-off sound or false start e.g. *english english*
    *[text] or [text]* : cut-off sound e.g. *[m]y name is jerry eng[lish]*
    incomplete(preceded by a backslash) : when the entire word is not known

    http://www.ldc.upenn.edu/Catalog/docs/LDC2008S02/labeling.pdf
type.sample
  • [Audio Sample - speaker1]:
    http://www.ldc.upenn.edu/Catalog/descs/addenda/LDC2008S02_a.wav
  • [Audio Sample - speaker2]:
    http://www.ldc.upenn.edu/Catalog/descs/addenda/LDC2008S02_b.wav
  • [Prompts (Questions) - in-vehicle]:

    The first four questions provide us with background information. Please wait for the beep before speaking. {iv_inst1}
    Are you male or female? {morf}
    What is your native language? {nlang}
    What city and state did you grow up in? {growup}
    What is your date of birth? {dob}
    The answers to the next set of questions will provide information about driving conditions and the recording conditions in your car.
    Please tell us if your window is open, or if you are using the windshield wipers, heater or radio? {environ}
    Briefly describe the traffic conditions. {traffic}
    About how fast are you traveling right now? {fast}
    Are you using a digital or analog phone? {dora}
    If you know the brand and model of your cellular phone, Please tell us now {brand}
    Are you using your phone's handset or a mounted microphone? {horm}
    The answers to the next questions will provide us with some background information about you and some examples of spoken digits and letters.
    Please say your last name. {lastname}
    Please spell your last name. {spelllastname}
    Please say a familiar license plate number. {flpnum}
    Please say a familiar phone number. {fphone}
    What time is it now? {time}
    Please say another phone number. {phone2}
    What is today's date? {date}

    The rest is omitted.

    http://www.ldc.upenn.edu/Catalog/docs/LDC2008S01/overview.txt
  • [Prompts (Questions) - not-in-vehicle]:

    The first four questions provide us with background information about the caller. Please wait for the beep before speaking.
    Are you male or female?
    What is your native language?
    What city and state did you grow up in?
    What is your date of birth?
    The answers to the next questions will provide information about the source of background noise during your call.
    Please describe your location. {location}
    Please identify any background noises that we may be hearing while you speak. For example, is the radio or TV on? Are there other people speaking nearby? {bnoise}
    Are you using a digital or analog phone?
    If you know the brand and model of your cellular phone, Please tell us now
    Are you speaking directly into your phone's handset or a speaker phone? {horm_niv}
    The answers to the next questions will provide us with some background information about you and some examples of spoken digits and letters.
    Please say your last name.
    Please spell your last name.
    Please say a familiar license plate number.
    Please say a familiar phone number.
    What time is it now?
    Please say another phone number.
    What is today's date?
    Please say the days of the week.

    The rest is omitted.

    http://www.ldc.upenn.edu/Catalog/docs/LDC2008S01/overview.txt
  • [Transcript]:

    9,L,male
    9,M,english
    9,H,sedro woolley washington
    9,D,five two nine seven five
    9,2,the uh uh radio is on low and the defroster is*
    9,3,right we're going about five miles an hour stop and go and
    9,4, uh right now thirty miles an hour
    9,E,analog
    9,B,mitsubishi
    9,5,handset
    9,O,e y r e
    9,F,k y f seven seven nine
    9,G,four four five two one three oh
    9,Z, it's now eight thirty two
    9,N,three six oh four two four three eight four seven
    9,C,nine twenty three nine six
    9,0, monday tuesday wednesday thursday friday saturday sunday lunes nacredas
    9,P,i'm twenty one i'm getting married in march things are going good uhm i'm a baptized jehovah's witness for six and a half years now uhm my fiancee is also
    9,J,(bn) eyre e y r e

    The rest is omitted.

    http://www.ldc.upenn.edu/Catalog/docs/LDC2008S02/data.txt
format.extent
  • Volume: 1 DVD
  • Sampling : 8000 Hz, 8 bit ulaw
  • Number of Speakers: 2336 speakers
  • Number of Files: 42716 wave files (speech), 39777 text files (transcripts) and 39777 phn files (label).
  • Number of Matched Files (wav -> txt): 39777
  • Total Length of Speech: 66:35:16
  • Length of Speech / Speaker: approximately 1 minute/speaker
  • Disk Space Needed: approximately 3.4GB of disk space
  • Corpus size: 3565158 KB
format.medium
  • DVD
  • RIFF standard file (16-bit linearly encoded Windows wav files for audio)
  • plain text file (transcriptions)
format.encoding
format.markup
format.functionality
identifier
identifier.doi
identifier.islrn
  • 571-537-588-741-2
source
  • speech data collected from cellular telephone calls to the CSLU T1 digital data collection system
language
  • English American English
language.area
  • America United States, North America
relation
relation.utilization *This metadata is automatically extracted
coverage.temporal
coverage.spacial
  • United States
rights