cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/dr8g-r615
title: Speech in Noisy Environments (SPINE2) Part 1 Audio

description: <h3>Introduction</h3><br>
<p>Speech in Noisy Environments (SPINE2) Part 1 Audio was used as part of the training set for the Second Speech in Noisy Environments Evaluation (SPINE2). SPINE2 provided a continuing forum for assessing the state of the art and practice in speech recognition technology for noisy military environments and for exchanging information on innovative speech recognition technology in the context of fully implemented systems that perform realistic tasks. The evaluation provided researchers, potential sponsors, and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies.</p><br>
<p>This work was sponsored in part by <a href="http://www.nsf.gov/" rel="nofollow">National Science Foundation</a> Grant No. IIS-9982201.</p><br>
<h3>Data</h3><br>
<p>This publication contains the Speech in Noisy Environments 2 (SPINE2) Clean and Vocoded Training Audio Corpus created for the Department of Defense (DoD) Digital Voice Processing Consortium (DDVPC) by Arcon Corp. The transcripts for this publication are available as Speech in Noisy Environments (SPINE2) Training Transcripts <a href="http://catalog.ldc.upenn.edu/LDC2001T05" rel="nofollow">LDC2001T05</a>. For an example transcript, please click <a href="desc/addenda/LDC2001T05.html" rel="nofollow">here</a>. These corpora supported the 2001 Speech in Noisy Environments evaluation.</p><br>
<p>The training data comprises two talker pairs (four speakers total) with 32 conversations (sessions) per talker pair (64 conversations total).</p><br>
<p>The audio for each session is presented in three forms:</p><br>
<ul><br>
<li><strong>Unprocessed:</strong> the signal recorded at the participant's microphone</li><br>
<li><strong>Bitstream:</strong> the compressed "channel" data produced by the vocoder's analysis stage for transmission from sender to receiver</li><br>
<li><strong>Processed:</strong> the signal produced by the vocoder's synthesis stage, given the bitstream data as input.</li><br>
</ul><br>
<p>There are a total of 64 clean audio files and 64 vocoded files, one "game" each, for a rough total of seven hours of audio data, 1.6Gb (including the unprocessed, the processed, and the bitstream files), 20,850 total tokens (730 unique tokens).</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2001S04.unpr.sph">unprocessed audio sample</a> and <a href="desc/addenda/LDC2001S04.pr.sph">processed audio sample</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 2001 Trustees of the University of Pennsylvania
DOI: 10.35111/q1mw-5s87
title: Speech in Noisy Environments (SPINE2) Part 2 Audio

description: <h3>Introduction</h3><br>
<p>Speech in Noisy Environments (SPINE2) Part Audio was used as the development set for the Second Speech in Noisy Environments Evaluation (SPINE2). SPINE2 provided a continuing forum for assessing the state of the art and practice in speech recognition technology for noisy military environments and for exchanging information on innovative speech recognition technology in the context of fully implemented systems that perform realistic tasks. The evaluation provided researchers, potential sponsors, and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies</p><br>
<p>This work was sponsored in part by <a href="http://www.nsf.gov/" rel="nofollow">National Science Foundation</a> Grant No. IIS-9982201.</p><br>
<h3>Data</h3><br>
<p>This release contains the Speech in Noisy Environments 2 (SPINE2) Clean and Vocoded Development Audio Corpus created for the Department of Defense (DoD) Digital Voice Processing Consortium (DDVPC) by Arcon Corp. The transcripts for this publication are available as Speech in Noisy Environments (SPINE2) Development Transcripts <a href="http://catalog.ldc.upenn.edu/LDC2001T07" rel="nofollow">LDC2001T07</a>. For an example transcript, please click <a href="desc/addenda/LDC2001T07.html" rel="nofollow">here</a>. These corpora supported the 2001 Speech in Noisy Environments evaluation.</p><br>
<p>The development data comprises two talker pairs (four speakers total) with 16 conversations (sessions) per talker pair (32 conversations total).</p><br>
<p>The audio for each session is presented in three forms:</p><br>
<ul><br>
<li><strong>Unprocessed:</strong> the signal recorded at the participant's microphone</li><br>
<li><strong>Bitstream:</strong> the compressed "channel" data produced by the vocoder's analysis stage for transmission from sender to receiver</li><br>
<li><strong>Processed:</strong> the signal produced by the vocoder's synthesis stage, given the bitstream data as input.</li><br>
</ul><br>
<p>There are a total of 32 clean audio files and 32 vocoded files, one "game" each, for a rough total of three and a half hours (207 minutes) of audio data, 811Mb (including the unprocessed, the processed, and the bitstream files), 9,700 total tokens (600 unique tokens).</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2001S06.unpr.sph">unprocessed sample</a> and <a href="desc/addenda/LDC2001S06.pr.sph">processed sample</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 2001 Trustees of the University of Pennsylvania
DOI: 10.35111/xb57-5p22
title: Speech in Noisy Environments (SPINE2) Part 3 Audio

description: <h3>Introduction</h3><br>
<p>Speech in Noisy Environments (SPINE2) Part 3 Audio was used as the evaluation set for the Second Speech in Noisy Environments Evaluation (SPINE2). SPINE2 provided a continuing forum for assessing the state of the art and practice in speech recognition technology for noisy military environments and for exchanging information on innovative speech recognition technology in the context of fully implemented systems that perform realistic tasks. The evaluation provided researchers, potential sponsors, and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies.</p><br>
<p>This work was sponsored in part by <a href="http://www.nsf.gov/" rel="nofollow">National Science Foundation</a> Grant No. IIS-9982201.</p><br>
<h3>Data</h3><br>
<p>This release contains the Speech in Noisy Environments 2 (SPINE2) Clean and Vocoded Evaluation Audio Corpus created for the Department of Defense (DoD) Digital Voice Processing Consortium (DDVPC) by Arcon Corp. The transcripts for this publication are available as Speech in Noisy Environments (SPINE2) Evaluation Transcripts <a href="http://catalog.ldc.upenn.edu/LDC2001T09" rel="nofollow">LDC2001T09</a>. These corpora supported the 2001 Speech in Noisy Environments evaluation.</p><br>
<p>The evaluation data comprises 16 talker pairs (32 speakers total) with four conversations (sessions) per talker pair (64 conversations total).</p><br>
<p>The audio for each session is presented in three forms:</p><br>
<ul><br>
<li><strong>Unprocessed:</strong> the signal recorded at the participant's microphone</li><br>
<li><strong>Bitstream:</strong> the compressed "channel" data produced by the vocoder's analysis stage for transmission from sender to receiver</li><br>
<li><strong>Processed:</strong> the signal produced by the vocoder's synthesis stage, given the bitstream data as input.</li><br>
</ul><br>
<p>There are a total of 64 clean audio files and 64 vocoded files, one "game" each, for a rough total of seven hours (423 minutes) of audio data, 1.6Gb (including the unprocessed, the processed, and the bitstream files), 23,300 total tokens (930 unique tokens).</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2001S08.unpr.sph">unprocessed sample</a> and <a href="desc/addenda/LDC2001S08.pr.sph">processed sample</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
DOI: 10.5281/zenodo.5053234
title: Tutorial data for Imaging in neuroscience: with a focus on MEG and EEG methods

description: MEG/EEG/MRI tutorial data for the PhD course Imaging in neuroscience: with a focus on MEG and EEG methods at Karolinska Institutet, Stockholm, Sweden. For more information, see: https://github.com/natmegsweden/meeg_course Data from a single subject. The participant received 160 tactile stimulation to all five fingers of the right hand at a rate of 0.3 Hz while watching a silent movie. Continuous HPI was measured for the duration of the recording. MEG was recorded with a Neuromag Triux MEG scanner with 102 magnetometers and 204 planar gradiometers at a sample rate of 1000Hz. Simultaneously recorded electroencephalography (EEG) with 128 channels. Electrocardiogram (ECG) or electrooculogram (EOG) was measured together with MEG to control for artefacts from heartbeats and eye-blinks. Structural MRI.
DOI: 10.35111/a74g-hy08
title: Switchboard Cellular Part 1 Audio

description: <h3>Introduction</h3><br>
<p>Switchboard Cellular Part 1 Audio was developed by the Linguistic Data Consortium (LDC) and consists of approximately 109 hours of English telephone conversations collected by LDC between 1999-2000. The Switchboard cellular collection focused primarily on GSM cellular phone technology. The project's goal was to target 190 subjects balanced by gender and under varied environmental conditions to participate in (10+) five to six minute conversations on GSM cellular phones. The speech data was collected for research, development, and evaluation of automatic systems for speech-to-text conversion, talker identification, language identification and speech signal detection purposes.</p><br>
<p>During the study period, LDC collected a total of 1,309 calls, or 2,618 sides (1,957 GSM), from 254 participants (129 male speakers, 125 female speakers) under varied environmental conditions.</p><br>
<h3>Data</h3><br>
<p>This release contains speech data files with documentation describing speaker information (sex, age, education, city and state where raised), call information (date, time, call duration, Personal Identification Numbers, topic) and audit information (channel quality, background noise). The data files are not compressed. The documentation also contains reports on clipped files.</p><br>
<p>Each speech file consists of a 1,024-byte ASCII-formatted Sphere header, followed by two-channel interleaved mu-law sample data. The mu-law samples represent the actual digital data transmission from the telephone service provider (MCI), as captured separately for each side of the telephone conversation by LDC's telephone collection platform. The header also indicates the caller_pin, callee_pin, topic_id, cellular service/handset information and speaker demographic information.</p><br>
<p>Other releases in this series include:</p><br>
<p>Switchboard Cellular Part 1 Transcribed Audio (<a href="../../../LDC2001S15">LDC2001S15</a>)</p><br>
<p>Switchboard Cellular Part 1 Transcription (<a href="../../../LDC2001T14">LDC2001T14</a>)</p><br>
<p>Switchboard Cellular Part 2 Audio (<a href="../../../LDC2004S07">LDC2004S07</a>)</p><br>
<h3>Updates</h3><br>
<p>55 missing sphere files were added the corpus on August 29, 2012. All copies ordered after that date will include those files. </p></br>
Portions © 1999-2001 Trustees of the University of Pennsylvania
DOI: 10.5281/zenodo.5053233
title: Tutorial data for Imaging in neuroscience: with a focus on MEG and EEG methods

description: MEG/EEG/MRI tutorial data for the PhD course Imaging in neuroscience: with a focus on MEG and EEG methods at Karolinska Institutet, Stockholm, Sweden. For more information, see: https://github.com/natmegsweden/meeg_course Data from a single subject. The participant received 160 tactile stimulation to all five fingers of the right hand at a rate of 0.3 Hz while watching a silent movie. Continuous HPI was measured for the duration of the recording. MEG was recorded with a Neuromag Triux MEG scanner with 102 magnetometers and 204 planar gradiometers at a sample rate of 1000Hz. Simultaneously recorded electroencephalography (EEG) with 128 channels. Electrocardiogram (ECG) or electrooculogram (EOG) was measured together with MEG to control for artefacts from heartbeats and eye-blinks. Structural MRI.
DOI: 10.35111/3wcn-6c29
title: Switchboard Cellular Part 1 Transcribed Audio

description: <h3>Introduction</h3><br>
<p>Switchboard Cellular Part 1 Transcribed Audio was developed by the Linguistic Data Consortium (LDC) and consists of approximately 24 hours of English telephone conversations collected by LDC between 1999-2000. This release contains the speech data files that correspond to Switchboard Cellular Part 1 Transcription (<a href="../../../LDC2001T14">LDC2001T14</a>).</p><br>
<p>The full set of conversations (approximately 109 hours) from the Switchboard Part 1 study is available in Switchboard Cellular Part 1 Audio (<a href="../../../LDC2001S13">LDC2001S13</a>). Switchboard Cellular Part 2 Audio (<a href="../../../LDC2004S07">LDC2004S07</a>) contains approximately 200 hours of English telephone conversations collected by LDC in the Switchboard Part 2 study. </p><br>
<p>The Switchboard Part 1 cellular collection focused primarily on GSM cellular phone technology. The project's goal was to target 190 subjects balanced by gender and under varied environmental conditions to participate in (10+) five to six minute conversations on GSM cellular phones. The speech data was collected for research, development, and evaluation of automatic systems for speech-to-text conversion, talker identification, language identification and speech signal detection purposes. </p><br>
<h3>Data</h3><br>
<p>Each speech file consists of a 1,024-byte ASCII-formatted Sphere header, followed by two-channel interleaved mu-law sample data. The mu-law samples represent the actual digital data transmission from the telephone service provider (MCI), as captured separately for each side of the telephone conversation by LDC's telephone collection platform. The header also indicates the caller_pin, callee_pin, topic_id, cellular service/handset information and speaker demographic information. The documentation also contains reports on clipped files.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 1999-2001 Trustees of the University of Pennsylvania
DOI: 10.35111/ydek-8j04
title: Grassfields Bantu Fieldwork: Ngomba Tone Paradigms

description: <h3>Introduction</h3><br>
<p>Grassfields Bantu Fieldwork: Ngomba Tone Paradigms was produced by Linguistic Data Consortium (LDC) catalog number LDC2001S16 and ISBN 1-58563-216-3. Please see below for information regarding its collection, processing, and contents.</p><br>
<p>The data contains tone paradigms of the language <a href="http://www.ethnologue.com/show_language.asp?code=jgo" rel="nofollow"> Ngomba</a>, a Bamileke (Grassfields Bantu) language spoken by some 63,000 people in the Western Province of Cameroon. Ngombas tone system is undescribed, but it has many similarities with the closely related Y&eacute;mba language (also known as Bamileke Dschang).</p><br>
<h3>Data</h3><br>
<p>This publication contains 755 audio files. The files in rawdata are 21 extended audio and laryngograph recordings with ESPS xlabel files each one of the raw sound files contains the complete recording of one of the tenses. The files in paradigms are HTML indexes linked to 734 one to three second audio clips in .wav format. Each HTML page lists 32 utterances, varying across subject, verb, and object. Transcriptions are provided for the audio clips using the IPA-based orthography, and using phonetic and tonological transcription systems.</p><br>
<p><strong>Recorded:</strong> June 21, 1997, Recording Studio of SIL Cameroon, Yaound&eacute;</p><br>
<p><strong>Digitized, Labelled and Segmented:</strong> 1997-1998 Phonetics Laboratory, University of Edinburgh</p><br>
<p><strong>Transcribed and Annotated:</strong> 1998-2001 LDC, University of Pennsylvania</p><br>
<p><strong>Sponsorship:</strong></p><br>
<table><br>
<tbody><br>
<tr><br>
<td>SIL Cameroon</td><br>
</tr><br>
<tr><br>
<td>Economic and Social Research Council (UK) Grant R000235540</td><br>
</tr><br>
<tr><br>
<td>National Science Foundation (US) Grant 9983258</td><br>
</tr><br>
<tr><br>
<td>National Science Foundation (US) TalkBank Project Grant BCS-998009, KDI, SBE</td><br>
</tr><br>
<tr><br>
<td>Linguistic Data Consortium</td><br>
</tr><br>
</tbody><br>
</table><br>
<h2>Updates</h2><br>
<p>There are no updates available at this time.</p><br>
<h3>Note</h3><br>
<p>The cost of the first 100 copies of this publication (not counting the copies distributed to LDC members) is covered by NSF Grant Number 9983258, and therefore free of charge to qualified researchers. A $30 shipping and handling fee applies. After these first 100 copies are distributed, additional copies will be available under the normal terms and costs.</p></br>
Portions © 2001 Steven Bird and John Bell,  © 2001 Trustees of the University of Pennsylvania
DOI: 10.35111/4b0m-6182
title: 1997 HUB4 Broadcast News Evaluation Non-English Test Material

description: <h3>Introduction</h3><br>
<p>1997 HUB4 Broadcast News Evaulation Non-English Test Material was developled by the Linguistic Data Consortium. It contains the evaluation test material used in the 1997 DARPA/NIST Continuous Speech Recognition Broadcast News HUB4 Non-English Benchmark Test administered by the <a href="http://www.nist.gov/speech" rel="nofollow"> NIST Spoken Natural Language Processing Group</a>.</p><br>
<h3>Data</h3><br>
<p>The test material is contained in two SPHERE-formatted waveform files. The file h4ne97sp.sph (set1) contains one hour of Spanish broadcast news excerpts from 1997. The file h4ne97ma.sph (set2) contains one hour of Mandarin broadcast news excerpts from 1997. Each file should be separately recognized per the <a href="http://www.itl.nist.gov/iaui/894.01/tests/bnr/hub4_98/hub4ne_98_spec.htm" rel="nofollow">HUB4 Non English Evaluation Specification</a>.</p><br>
<p><strong>Note:</strong> 1997 HUB4 English evaluation material is contained in 1997 HUB4 English Evaluation Speech and Transcripts <a href="../../../LDC2002S11">LDC2002S11</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p><br>
<h3>Additional Licensing Instructions</h3><br>
<p>This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p></br>
Portions © 1997 China Central TV, KAZN-AM, Televisa, Univision Network Limited Partnership, © 1997, 2001 Trustees of the University of Pennsylvania
DOI: 10.35111/4bdy-8236
title: TDT2 Mandarin Audio Corpus

description: <h3>Introduction</h3><br>
<p>Topic Detection and Tracking (TDT) 2 Mandarin Audio Corpus contains approximatley 52 hours of recordings of broadcast news audio. The transcriptions to these recordings are available in the Topic Detection and Tracking (TDT) 2 Multilanguage Text Version 4.0, <a href="../../../LDC2001T57">LDC2001T57</a>.</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. The TDT2 corpus was created to support three TDT2 tasks: find topically homogeneous sections (segmentation), detect the occurrrence of new events (detection), and track the reoccurrencce of old or new events (tracking).</p><br>
<h3>Data</h3><br>
<p>Please see <a href="desc/addenda/LDC2001S93.tbl" rel="nofollow">file.tbl</a> for the directory structure of this publication, as well as a complete list of files.</p><br>
<p>The data files are recordings of Voice of America (VOA) news broadcasts. The data were collected daily over a period of six months (February-June 1998). The audio files in this corpus are single channel, 16 KHz, 16-bit linear SPHERE files.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>
Portions © 2001 Trustees of the University of Pennsylvania
DOI: 10.35111/a933-3936
title: TDT3 English Audio

description: <p><strong> PRICING: 2001 Commercial Members: $0 2001 Non-Profit Members: $1,100 Non-Members: $11,000 </strong></p><br>
<h3>Introduction</h3><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. The TDT3 corpus was created to support three TDT3 tasks: find topically homogeneous sections (segmentation), detect the occurrence of new events (detection), and track the reoccurrence of old or new events (tracking).</p><br>
<p>The goal of Topic Detection and Tracking - Phase 3 (TDT3) is to create core technology to monitor multiple streams of news in multiple languages and media (newswire, radio, television, web sites or some future combination or innovation), segmenting the streams into individual stories, detecting new topics and tracking all stories discussing them. In additional to the TDT2 tasks of segmentation, detection and tracking, TDT3 adds the tasks of first story detection and story-link detection. The goal of the latter is to detect links between stories that discuss the same topic even though the topic has not been defined in advance.</p><br>
<h3>Data</h3><br>
<p>The TDT3 English Audio Corpus contains the audio (in compressed sphere format) of news broadcasts collected daily from six news sources in American English, over a three-month collection period (October - December 1998). The sources and amounts are as follows:</p><br>
<p>Sources Hours CDs ------------------------------------------------------------------ CNN_HDL Cable News Network, "Headline News" 174.6 19 ABC_WNT American Broadcasting Co., "World News Tonight" 38.6 5 NBC_NNW National Broadcasting Co., "NBC Nightly News" 44.6 6 MNB_NBW MS-NBC, "News with Brian Williams" 51.8 6 PRI_TWD Public Radio International, "The World" 63.9 7 VOA_ENG Voice of America, English news programs 102.2 12 Total 475.7 55</p><br>
<p>The files in this publication are complete single-channel recordings of the (30 or 60-minute) broadcasts listed above. Each one has been digitized at a sample rate of 16 KHz using 16-bit samples, and compressed using the "shorten" algorithm.</p><br>
<p>(The audio CD-ROMs are grouped into subsets by broadcast source and the LDC will support the option of purchasing one or more subsets, e.g. just the ABC data. We regret that we cannot provide "customized" subsets.)</p><br>
<p>Note that this corpus is now released as a web download, but the disc folder structure has been preserved to indicate broadcast source.</p><br>
<p>Tools for decompression can be found <a href="http://www.ldc.upenn.edu/Using/" rel="nofollow">here</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates at this time.</p></br>