cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/rkkw-zd68
title: Arabic CTS Levantine Fisher Training Data Set 3, Speech

description: <h3>Introduction</h3><br>
<p>Arabic CTS Levantine Fisher Training Data Set 3 Speech consists of 322 conversations, representing a total of about 50 hours of Levantine Arabic speech. The corresponding human annotated transcripts are contained in <a href="http://catalog.ldc.upenn.edu/LDC2005T03" rel="nofollow"> Arabic CTS Levantine Fisher Training Data Set 3, Transcripts (LDC2005T03)</a>.</p><br>
<p>The Fisher telephone conversation collection protocol was created at LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems. Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations were challengingly natural and intimate. Under the Fisher protocol, a very large number of participants each made a few calls of short duration speaking to other participants, whom they typically did not know, about assigned topics. This maximized inter-speaker variation and vocabulary breadth although it also increased formality.</p><br>
<p>Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher was unique in being platform driven rather than participant driven. Participants who wished to initiate a call did so; however, the collection platform initiated the majority of calls. Participants simply answered their phones at the times they specified when registering for the study.</p><br>
<p>To encourage a broad range of vocabulary, Fisher participants were asked to speak about an assigned topic chosen from a randomly generated list that changed every 24 hours. All participants that day were assigned subjects from that list. Some topics were inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.</p><br>
<h3>Samples</h3><br>
<p>Please examine this <a href="desc/addenda/LDC2005S07.wav" rel="nofollow">sample</a> for an example of this corpus.</p></br>
 Portions © 2003-2005 Trustees of the University of Pennsylvania
DOI: 10.35111/j1tn-v351
title: BBN/AUB DARPA Babylon Levantine Arabic Speech and Transcripts

description: <h3>Introduction</h3><br>
<p>BBN/AUB DARPA Babylon Levantine Arabic Speech and Transcripts consists of transcribed, spontaneous speech recorded from subjects speaking Levantine colloquial Arabic. Levantine Arabic is the dialect of Arabic spoken in Lebanon, Jordan, Syria, and Palestine. It is significantly different from Modern Standard Arabic. It is a spoken rather than a written language, and  includes different words and pronounciations from Modern Standard Arabic.</p><br>
<p>The corpus was developed with funding from the Defense Advanced Research Project Agency (DARPA), as part of the Babylon program. The Babylon program was intended to advance the state of the art in speech-to-speech translation systems by creating new technology and by developing systems for field use. BBN was funded under Babylon to develop a limited English/Arabic refugee/medical speech translation system for a handheld computer, and it collected this corpus as part of its work. The corpus may be useful for speech recognition in Levantine colloquial Arabic, including for speech translation and spoken dialog systems.</p><br>
<h3>Samples</h3><br>
<p>To see an example of this corpus, we have provided a <a href="../../../desc/addenda/LDC2005S08.wav" rel="nofollow">audio sample</a> and <a href="../../../desc/addenda/LDC2005S08.gif" rel="nofollow">transcription</a>.</p></br>
 Portions © 2003 BBNT Solutions LLC, © 2004, 2005 Trustees of the University of Pennsylvania
DOI: 10.35111/90ef-0a97
title: TDT4 Multilingual Broadcast News Speech Corpus

description: <h4>Introduction</h4><br>
<p>TDT4 Multilingual Broadcast News Speech Corpus was developed by the Linguistic Data Consortium (LDC) with support from the DARPA TIDES (Translingual Information Detection, Extraction and Summarization) Program. This release contains the complete set of American English, Modern Standard Arabic and Mandarin Chinese broadcast news audio used in the 2002 and 2003 Topic Detection and Tracking technology evaluations. The transcripts corresponding to the audio contained in this release, along with newswire data and topic relevance annotations, can be found in LDC Publication <a href="http://catalog.ldc.upenn.edu/LDC2005T16" rel="nofollow">LDC2005T16</a>, TDT4 Multilingual Text and Annotations.</p><br>
<p>Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data such as newswire and broadcast news. Evaluation tasks in 2002 and 2003 included the segmentation of a news source into stories, the tracking of known topics, the detection of unknown topics, the detection of initial stories on unknown topics, and the detection of pairs of stories on the same topic.</p><br>
<h3>Samples</h3><br>
<p>Please examine these wave files for an example of this corpus.</p><br>
<ul><br>
<li><a href="desc/addenda/LDC2005S11_ar.wav" rel="nofollow">Arabic</a></li><br>
<li><a href="desc/addenda/LDC2005S11_eng.wav" rel="nofollow">English</a></li><br>
<li><a href="desc/addenda/LDC2005S11_man.wav" rel="nofollow">Mandarin</a></li><br>
</ul><br>
<h3>Updates</h3><br>
<p>The initial July 2005 release contained an error in which a small number of files were misnamed. That error has been corrected. Users who received the original release should have also received the correction. Anyone who ordered this publication before Nov. 1, 2005 and has not received a correction should contact LDC's Membership Office at <a rel="nofollow">ldc@ldc.upenn.edu</a>.</p><br>
<p> </p></br>
Portions © 2000-2001: Xinhua News Agency, Agence France-Presse, New York Times, Associated Press Newswire, Zaobao, An-Nahar, Al-Hayat, Nile TV, Voice of America, Public Radio International, Cable News Network, American Broadcasting Corporation, National Broadcasting Company, China National Radio, China Television System, China Central TV, China Broadcasting System, © 2000-2001, 2005 Trustees of the University of Pennsylvania <br><br>The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.
DOI: 10.35111/a75r-qp57
title: Levantine Arabic QT Training Data Set 4 (Speech + Transcripts)

description: <h3>Introduction</h3> <p>This file contains documentation on the Levantine Arabic QT Training Data Set 4 (Speech + Transcripts), Linguistic Data Consortium (LDC) catalog number LDC2005S14 and ISBN 1-58563-342-9. </p><p> This release contains 901 calls and the total speech is 133.6 hours of telephone conversation in Levantine Arabic. Both audio and transcription files are included in this package. </p> <p> The majority of speakers in this corpus are Lebanese. The data is similar to the training data in Set 3 [LDC2005S07, speech and LDC2005T03, transcripts]. The dialects are distributed as follows:</p> <ul> <li>171 JOR </li> <li>1373 LEB </li> <li>229 PAL </li> <li>29 SYR </li> </ul><h3>Samples</h3> <p> For an example of this corpus, please review this audio <a href="desc/addenda/LDC2005S14.wav" rel="nofollow">sample</a>. </p> </br>
Portions © 2005 Trustees of the University of Pennsylvania
DOI: 10.35111/rffd-da17
title: HKUST Mandarin Telephone Speech, Part 1

description: <h3>Introduction</h3><br>
<p>HKUST Mandarin Telephone Speech, Part 1 was developed by Hong Kong University of Science and Technology (HKUST). In 2004, HKUST was contracted to collect and transcribe 200 hours of Mandarin Chinese conversational telephone speech from Mandarin speakers in mainland China under the DARPA EARS framework. The first 50 hours of speech and transcripts were released in June 2004 to the EARS community for the RT-04 NIST evaluation. NIST partitioned the remaining 150 hours of collection into training, development and evaluation sets. This release contains the training and development sets with 873 and 24 calls, respectively.</p><br>
<h3>Data Collection</h3><br>
<p>Subject recruitment was done in several cities across mainland China. Most subjects did not previously know each other. To encourage more meaningful conversation, topics similar to those in Fisher English were designed. All calls were operator-assisted, namely, an operator would call two participants as scheduled to initiate a call. Subjects were asked about demographic questions before they were bridged for normal conversation. Their answers to the demographic questions were recorded on separate files.</p><br>
<p>Subjects were allowed to talk up to 10 minutes. With a few exceptions, most calls are of the maximum length. Although subjects were allowed to make up to three calls, all subjects made just one call in this release with one exception, where PIN 10683 and PIN 10686 belong to a single individual.</p><br>
<p>Each side of a call was recorded on a separate .wav file, sampled at 8-bits (a-law encoded), 8Khz. They were multiplexed later in sphere format with a-law encoding preserved. In the case where one side was shorter than the other, the shorter side was padded with silence. In the release, the file name of each recorded call is in the format of date_time_Apin_Bpin.sph and the corresponding transcript is in the same format with .txt extension.</p><br>
<h3>Speaker demographics</h3><br>
<p>Subjects were asked to provide several pieces of demographic information, including gender, age, native language/dialect, birthplace, education, occupation, phone type, etc. Given that Standard Mandarin is not the native dialect in many regions of China but is the official language of education and speakers may or may not have regional accents speaking Mandarin, it was decided that subjects birthplaces were divided into Mandarin-dominant and non-Mandarin-dominant regions and all calls were audited and classified into standard and accented types without further distinctions.</p><br>
<p>Selected demographics - age, gender, birthplace, phone type and accent for each side of the call and the topic ID for the call - are provided as a tab-delimited, plain-text, tabular file.</p><br>
<h3>Samples</h3><br>
<p>To review an example of this corpus, please examine this <a href="desc/addenda/LDC2005S15.wav" rel="nofollow">wav</a> or <a href="desc/addenda/LDC2005S15.mp3" rel="nofollow">mp3</a> audio samples.</p></br>
© 2005 Trustees of the University of Pennsylvania
DOI: 10.35111/27r9-h809
title: RT-04 MDE Training Data Speech

description: <h3>Introduction</h3> <p>This file contains documentation on the MDE RT-04 Training Data Speech, Linguistic Data Consortium (LDC) catalog number LDC2005S16 and ISBN 1-58563-355-0. </p><p> This corpus was created by Linguistic Data Consortium to provide training data for the RT-04 Fall Metadata Extraction (MDE) Evaluation, part of the DARPA EARS (Efficient, Affordable, Reusable Speech-to-Text) Program. This data set has been created and distributed by Linguistic Data Consortium. This data was previously released to the EARS MDE community as LDC2004E31. </p> <p> The goal of MDE is to enable technology that can take raw Speech-to-Text output and refine it into forms that are of more use to humans and to downstream automatic processes. In simple terms, this means the creation of automatic transcripts that are maximally readable. This readability might be achieved in a number of ways: flagging non-content words like filled pauses and discourse markers for optional removal; marking sections of disfluent speech; and creating boundaries between natural breakpoints in the flow of speech so that each sentence or other meaningful unit of speech might be presented on a separate line within the resulting transcript. Natural capitalization, punctuation and standardized spelling, plus sensible conventions for representing speaker turns and identity are further elements in the readable transcript. LDC has defined a SimpleMDE annotation task specification and has annotated English telephone and broadcast news data to provide training data for MDE. </p> <h3>Samples</h3> For an example of the data in this publication, please review this <a href="desc/addenda/LDC2005S16_bnews.wav" rel="nofollow">broadcast news</a> sample and this <a href="desc/addenda/LDC2005S16_cts.wav" rel="nofollow">telephone conversation</a> sample.   <p>The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.</p></br>
Portions © 2004 Trustees of the University of Pennsylvania, © 2003 American Broadcasting Company, © 2003 National Broadcasting Company, © 2003 Public Radio International, © 2003 Cable News Network, Inc. All Rights Reserved,© 2003 National Cable Satellite Corporation.<br><br>The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.
DOI: 10.35111/qmyb-6884
title: Articulation Index

description: <h3>Introduction</h3><br>
<p>Articulation Index was developed by the Linguistic Data Consortium (LDC)  and was partly inspired by the work of Harvey Fletcher, who performed a number of perceptual experiments involving English syllables during the first half of the 20th century. His term <em>articulation index</em> meant something like perceptual index of syllables, where those syllables were not necessarily words, and reflected how well speakers could correctly identify syllables in the presence of noise. This corpus was created to facilitate similar experiments, as well as to potentially facilitate new methods in speech recognition research.</p><br>
<p>The basic concept behind the corpus was to record speakers pronouncing syllables of English, some of which might be real words, but most of which are nonsense syllables. The goal was to have each speaker say a set of 2,000 syllables common to all speakers, as well as a set of 20 syllables unique to that speaker.</p><br>
<p>LDC has also released Articulation Index LSCP (<a href="../../../LDC2015S12">LDC2015S12</a>)</p><br>
<h3>Data</h3><br>
<p>This release contains recordings of 20 American English speakers (12 males, 8 females) saying 2005 common syllables, 1845 of which are common to all speakers, and 400 unique syllables (20 syllables/ speaker).</p><br>
<p>The recordings were made in small, sound-treated anechoic room at LDC. The speakers wore two microphones: a Sennheiser 410 headset and a Nortel Liberator wireless phone headset. The Sennheiser's signal traveled through a Symetrix 302 Dual Microphone Preamp, Sony PCM-R300 DAT deck and Townshend Datlink to a Sun Sparcserver 20 where it was written to disk at 16 KHz, 16-bit, pcm data. The Nortel's signal was transmitted to a wireless base station at a telephone connected via the network to LDC's telephone recording platform where it was caputred to disk as 8 KHz, 8-bit, u-law data.</p><br>
<p>The speakers were prompted via a computer interface that displayed one prompt at a time, allowing them to iterate through the prompts by pressing a "next" button. Each recording session lasted approximately 15 minutes.</p><br>
<h3>Samples</h3><br>
<p>For an example of this corpus, please review this <a href="desc/addenda/LDC2005S22.wav" rel="nofollow">audio sample</a>.</p></br>
© 2005 Trustees of the University of Pennsylvania
DOI: 10.35111/c9nh-1v54
title: Santa Barbara Corpus of Spoken American English Part IV

description: <h3>Introduction</h3><br>
<p>Santa Barbara Corpus of Spoken American English Part IV was produced by Linguistic Data Consortium (LDC) catalog number LDC2005S25 and ISBN 158563-348-8.</p><br>
<p>Santa Barbara Corpus of Spoken American English Part IV is based on hundreds of recordings of natural speech from all over the United States, representing a wide variety of people of different regional origins, ages, occupations, and ethnic and social backgrounds. It reflects many ways that people use language in their lives: conversation, gossip, arguments, on-the-job talk, card games, city council meetings, sales pitches, classroom lectures, political speeches, bedtime stories, sermons, weddings, and more.</p><br>
<p>The corpus was collected by: University of California, Santa Barbara Center for the Study of Discourse (Director: John W. Du Bois (UCSB), Authors: John W. Du Bois and Robert Englebretson. Associate Editors: Wallace L. Chafe (UCSB), Charles Meyer (UMass, Boston), and Sandra A. Thompson (UCSB)).</p><br>
<p>For software and additional data resources, please refer to the following sites: <a href="http://www.talkbank.org/resources/software.html" rel="nofollow">TalkBank</a>, <a href="http://www.ucl.ac.uk/english-usage/ice/index.htm" rel="nofollow">International Corpus of English</a>.</p><br>
<p>Part I of the Santa Barbara Corpus of Spoken American English is available as <a href="http://catalog.ldc.upenn.edu/LDC2000S85" rel="nofollow">LDC2000S85</a>.</p><br>
<p>Part II of the Santa Barbara Corpus of Spoken American English is available as <a href="http://catalog.ldc.upenn.edu/LDC2003S06" rel="nofollow">LDC2003S06</a>.</p><br>
<p>Part III of the Santa Barbara Corpus of Spoken American English is available as <a href="http://catalog.ldc.upenn.edu/LDC2004S10" rel="nofollow">LDC2003S10</a>.</p><br>
<h3>Data</h3><br>
<p>The audio data consists of 14 wave format speech files, recorded in two-channel pcm, at 22050Hz. The speech files total 5.75 hours of audio (1.5 GB), representing over 58,000 words and over 6,000 unique words in the transcribed text.</p><br>
<h3>Samples</h3><br>
<p>For an example of this corpus, please examine this <a href="desc/addenda/LDC2005S25.wav" rel="nofollow">audio sample</a> and its <a href="desc/addenda/LDC2005S25.txt" rel="nofollow">transcript</a>.</p><br>
<h3>Acknowledgements</h3><br>
<p>The completion and release of this corpus was facilitated by funding extended by the TalkBank Project. TalkBank is an interdisciplinary research project funded by a five-year grant (BCS-998009, KDI, SBE) from the National Science Foundation to Carnegie Mellon University and the University of Pennsylvania.</p></br>
Portions © 2003 University of California, © 2003 Trustees of the University of Pennsylvania
DOI: 10.35111/zkn2-5x88
title: CSLU: 22 Languages Corpus

description: <h3>Introduction</h3><br>
<p>This file contains documentation on the CSLU: 22 Languages v 1.2, Linguistic Data Consortium (LDC) catalog number LDC2005S26 and ISBN 1-58563-361-5.</p><br>
<p>Produced by Center for Spoken Language Understanding and distributed by the Linguistic Data Consortium, the 22 Languages corpus consists of telephone speech from 21 languages: Eastern Arabic, Cantonese, Czech, Farsi, German, Hindi, Hungarian, Japanese, Korean, Malay, Mandarin, Italian, Polish, Portuguese, Russian, Spanish, Swedish, Swahili, Tamil, Vietnamese, and English. The corpus contains fixed vocabulary utterances (e.g. days of the week) as well as fluent continuous speech. Each of the 50,191 utterances is verified by a native speaker to determine if the caller followed instructions when answering the prompts. For this release, approximately 19,758 utterances have corresponding orthographic transcriptions in all the above languages except Eastern Arabic, Farsi, Korean, Russian, Italian.</p><br>
<h3>Samples</h3><br>
<p>For an exampe of this corpus, please listen to these <a href="desc/addenda/LDC2005S26_AR.wav" rel="nofollow">Arabic</a> and <a href="desc/addenda/LDC2005S26_EN.wav" rel="nofollow">English</a> audio samples.</p><br>
<h3>Updates and Contact</h3><br>
<p>Questions regarding this corpus and about the <a href="http://www.cslu.ogi.edu/" rel="nofollow">Center for Spoken Language Understanding</a> should be directed to <a rel="nofollow">Jan van Santen</a>.</p></br>
Portions © 1998-2002 Center for Spoken Language Understanding Oregon Health & Science University, © 2005 Trustees of the University of Pennsylvania
DOI: 10.35111/5yz9-yp59
title: West Point Company G3 American English Speech

description: <h3>Introduction</h3> <p> During the 2000-2001 academic year, cadets, staff and faculty members at the United States Military Academy volunteered to participate in a speech data collection project for American English. The goal of the project was to amass recordings from no less than 100 adult speakers (50 males and 50 females) to form a substantial corpus of high-quality read speech.</p> <p> The project was conducted by the Center for Technology Enhanced Language Learning, part of the U.S. Military Academy's Department of Foreign Languages. Many of the 100-plus volunteers who provided the recordings were members of the staff and faculty of the Department of Foreign Languages. Other volunteers were friends and colleagues from other organizations who worked in offices in Washington Hall.</p> <p> The largest group of volunteers was from Cadet Company G, Third Regiment, United States Corps of Cadets. Cadet Company G3, encouraged by their tactical officer, Major Scott Custer, adopted the speech data collection effort as a community service project. Every female cadet in Company G3 recorded her voice, as did many of the male cadets, including the cadet company commander and Major Custer.</p> <p>The 185 sentences comprising the data collection script were written to elicit examples of all or most all of the possible syllables used in spoken American English.</p> <p> The G3 Corpus audio data comes from 53 female and 56 male volunteers, each of whom recorded approximately 104 utterances. The recordings are sampled at a 16-bit resolution, 22,050 samples per second. Recordings were made using headset microphones (Shure M10) with preamplifiers attached to the line input jack of desktop computers. The total amount of speech is about 15 hours.</p> <h3>Samples</h3> <p>For an example of this corpus, please listen to this audio <a href="desc/addenda/LDC2005S30.wav" rel="nofollow">sample</a>.</p>  </br>
Portions © 2001 United States Military Academy, Portions © 2005 Trustees of the University of Pennsylvania.