Datasets
This page aims to provide a list of datasets with detailed attributes and links to corresponding research results (papers, numerical results, output transcriptions, intermediary data, etc). Each dataset may be used for one or more applications: automatic speech recognition, speaker identification and verification, source localization, speech enhancement and separation...
Disclaimer: Only publicly available datasets with a total duration longer than 5 min are listed.
Datasets | General attributes | Speech | Channel | Noise | Ground truth | ||||||||||||||||||||
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year | use case | total time (h) | sam. rate (kHz) | dist. or noisy mics | video cams | cost | links | speak. time (h) | uniq. speak. | lang. | uniq. words (k) | speak. style | speak. / rec. | overl. type | chan. type | speak. radiat. | speak. loc. | speak. moves | noise type | ref. signal | speak. loc., orient. | words | non- verb. traits | noise events | |
ShATR | 1994 | meeting | 0.6 | 48 | 3 | no | free | download | 0.6 | 5 | UK English | 1 | spontaneous | 5 | multiple dialogs | reverb | human | quasi-fixed | head | meeting | headset | yes | yes | no | yes |
LLSEC | 1996 | dialog | 1.4 | 16 | 4 | no | free | download | ? | 12 | N/S | N/S | read, spontaneous | 2 | dialog | reverb | human | quasi-fixed | head | hallway, restaurant (scenarized) | no | yes | no | no | no |
RWCP Spoken Dialog Corpus | 1996 - 1997 | dialog | 10 | 16 | 2 | no | free | download | 10 | 39 | Japanese | ? | spontaneous | 1 - 2 | dialog | reverb (low) | human | quasi-fixed | head | stationary background | no | no | yes | no | no |
Aurora-2 | 2000 | public spaces | 33 | 8 - 16 | 1 | no | free given TIDigits (500 $) | download | 33 | 214 | US English | 0.01 | digits | 1 | no | simulated phone | human | N/S | no | various real environments | original | N/S | yes | no | yes |
SPINE1, SPINE2 | 2000 - 2001 | military | 38 | 16 | 2 | no | 7.4 k$ | purchase | ? | 100 | US English | 1 | command, spontaneous | 1 - 2 | no | simulated radio | human | quasi-fixed | head | military | no | no | yes | no | no |
Aurora-3 (subset of SpeechDat- Car) | 2000 - 2003 | car | ? | 16 | 4 | no | 1 k€ | purchase | ? | ? | various | ? | digits, command, read, spontaneous | 1 | no | reverb | human | quasi-fixed | head | car | headset | no | yes | no | no |
RWCP Meeting Speech Corpus | 2001 | meeting | 3.5 | 16 - 48 | 1 | 3 | free | download | 3.5 | ? | Japanese | ? | spontaneous | 1 - 5 | meeting | reverb (low) | human | quasi-fixed | head | stationary background | headset | no | yes | no | no |
RWCP Real Environment Speech and Acoustic Database | 2001 | domestic, office | ? | 16 - 48 | 30 | no | free | download | ? | 5 | Japanese | ? | read | 1 | no | real rir, reverb | loudspeaker | various | no, pivoting arm | stationary background | original | yes | yes | no | yes |
SpeechDat- Car | 2001 - 2011 | car | ? | 16 | 4 | no | 39 - 182 k€ per lang | purchase | ? | 300 per lang | various | ? | digits, command, read, spontaneous | 1 | no | reverb | human | quasi-fixed | head | car | headset | no | yes | no | no |
Aurora-4 | 2002 | public spaces | ? | 8 - 16 | 1 | no | free given WSJ0 (1500 $) | download | ? | 101 | US English | 10 | read | 1 | no | simulated phone | human | N/S | no | various real environments | original | N/S | yes | no | yes |
TED | 2002 | seminar | 47 | 16 | 1 | no | 0.5 k$ | purchase | 47 | 188 | non-native English | ? | lecture | 1 or more | seminar | reverb | human | quasi-fixed | head | stationary background | lapel | no | partial | no | no |
CUAVE | 2002 | cocktail party | 3 | 44 | 1 | 1 | free | download | 3 | 36 | US English | 0.01 | digits | 1 - 2 | full | reverb | human | quasi-fixed | head | stationary background | no | no | yes | no | no |
CU-Move Microphone Array Data | 2002 - 2011 | car | 286 | 44 | 6 - 8 | no | 25 k$ | purchase | 286 | 172 | US English | 12 | digits, command, read, dialog | 1 | no | reverb | human | quasi-fixed | head | car | no | no | yes | no | no |
CENSREC-1 (Aurora-2J) | 2003 | public spaces | ? | 8 | 1 | no | free | download | ? | 214 | Japanese | 0.01 | digits | 1 | no | simulated phone | human | N/S | no | various real environments | original | N/S | yes | no | yes |
AVICAR | 2004 | car | 29 | 16 | 7 | 4 | free | download | 29 | 86 | US English, non-native English | 1 | read | 1 | no | reverb | human | quasi-fixed | head | car | no | no | yes | no | no |
AV16.3 | 2004 | meeting | 1.5 | 16 | 16 | 3 | free | download | 1.5 | 12 | N/S | N/S | spontaneous | 1 - 3 | full | reverb | human | various | walk | stationary background | no | yes | no | no | no |
ICSI Meeting Corpus | 2004 | meeting | 72 | 16 | 6 | no | 2.8 k$ | purchase | 72 | 53 | US English | 13 | meeting | 3 - 10 | meeting | reverb | human | quasi-fixed | head | stationary background | headset, lapel | no | yes | yes | no |
NIST Meeting Pilot Corpus Speech | 2004 | meeting | 15 | 16 | 7 | no | 5.5 k$ | purchase | 15 | 61 | US English | 6 | meeting | 3 - 9 | meeting | reverb | human | various | walk | stationary background | headset, lapel | no | yes | no | no |
CHIL Meetings | 2004 - 2007 | seminar, meeting | 60 | 44 | 79 - 147 | 6 - 9 | 3.5 k€ | purchase | ? | ? | non-native English | ? | seminar, meeting | 3 - 20 | seminar, meeting | reverb | human | quasi-fixed | head | meeting (scenarized) | headset | yes | yes | yes | no |
SPEECON | 2004 - 2011 | public space, domestic, office, car | ? | 16 | 3 | no | 75 k€ per lang | purchase | ? | 600 per lang | various | ? | command, read, spontaneous | 1 | no | reverb | human | quasi-fixed | head | various real environments | headset | no | yes | no | no |
CENSREC-2 | 2005 | car | ? | 16 | 1 | no | free | download | ? | 214 | Japanese | 0.01 | digits | 1 | no | reverb | human | quasi-fixed | head | car | headset | no | yes | no | no |
CENSREC-3 | 2005 | car | ? | 16 | 1 | no | 21 k¥ | purchase | ? | 311 | Japanese | 0.05 | read | 1 | no | reverb | human | quasi-fixed | head | car | headset | no | yes | no | no |
Aurora-5 | 2006 | public spaces, domestic, office, car | ? | 8 | 1 | no | free given TIDigits (500 $) | download | ? | 225 | US English | 0.01 | digits | 1 | no | no, simulated rir, real rir | loudspeaker | N/S | no | various real environments | original | no | yes | no | yes |
AMI | 2006 | meeting | 100 | 16 | 16 | 6 | free | download | ? | 189 | UK English | 8 | meeting | 4 | meeting (18% overlap) | reverb | human | quasi-fixed | head | stationary background | headset, lapel | yes | yes | yes | no |
PASCAL SSC | 2006 | cocktail party | 8.8 | 25 | 1 | no | free | 8.8 | 34 | UK English | 0.05 | command | 2 | full | no | human | N/S | no | no | original | N/S | yes | no | no | |
HIWIRE | 2007 | airplane | 21 | 16 | 1 | no | 0.05 k€ | purchase | 21 | 81 | non-native English | 0.1 | command | 1 | no | no | human | N/S | head | airplane | original | N/S | yes | no | no |
UT-Drive | 2007 | car | 40 | 25 | 5 | 2 | 25 k$ | download | 40 | 25 | US English | 2.4 | command, dialog | 1 - 2 | dialog | reverb | human | quasi-fixed | head | car | headset (low quality) | no | partial | no | no |
SASSEC, SiSEC under- determined | 2007 - 2011 | cocktail party | 0.3 | 16 | 2 | no | free | download | 0.3 | 16 | N/S | N/S | read | 3 - 4 | full | simulated rir, real rir, reverb | no, loudspeaker | fixed | no | no | original, spatial image | yes | no | no | no |
MC-WSJ-AV, PASCAL SSC2, 2012_MMA, REVERB RealData | 2007 - 2014 | cocktail party | 10 | 16 | 8 - 40 | no | 1.5 k$ | purchase | ? | 45 | UK English | 10 | read | 1 - 2 | full | reverb | human | various | walk | stationary background | headset, lapel | yes | yes | no | no |
CENSREC-4 (Simulated) | 2008 | public spaces, domestic, office, car | ? | 16 | 1 | no | free | download | ? | 214 | Japanese | 0.01 | digits | 1 | no | real rir | dummy | fixed | no | various real environments | original | no | yes | no | yes |
CENSREC-4 (Real) | 2008 | public spaces, domestic, office, car | ? | 16 | 1 | no | free | download | ? | 10 | Japanese | 0.01 | digits | 1 | no | reverb | human | quasi-fixed | head | various real environments | headset | no | yes | no | yes |
DICIT | 2008 | domestic | 6 | 48 | 16 | 2 | free | download | 1 | ? | Italian | ? | command | 4 | no | reverb | human | various | walk | domestic (scenarized) | headset, tv | yes | yes | no | yes |
SiSEC head-geometry | 2008 | cocktail party | 1.9 | 16 | 2 | no | free | download email | 1.9 | ? | N/S | N/S | read | 2 | full | real rir | loudspeaker | various | no | no | original, spatial image | yes | no | no | no |
COSINE | 2009 | dialog | 38 | 48 | 20 | no | free | download | 11 | 91 | US English, non-native English | 5 | spontaneous | 2 - 7 | dialog | reverb | human | various | walk | various real environments | headset, throat mic | no | yes | no | no |
SiSEC real-world noise | 2010 | public spaces | 0.3 | 16 | 2 - 4 | no | free | download | 0.3 | 6 | N/S | N/S | read | 1 - 3 | full | no, reverb (other room) | loudspeaker | various | no | various real environments | original, spatial image | yes | no | no | no |
SiSEC dynamic | 2010 - 2011 | cocktail party | 0.2 | 16 | 2 - 4 | no | free | download email | 0.2 | ? | N/S | N/S | read | many but only 2 simultaneous | full | reverb | loudspeaker | various | simulated | no | original, spatial image | yes | no | no | no |
CHiME 1, CHiME 2 Grid | 2011 - 2012 | domestic | 70 | 16 - 48 | 2 | no | free | download | 12 | 34 | UK English | 0.05 | command | 1 | no | real rir | dummy | quasi-fixed | simulated head | domestic | yes | yes | yes | no | no |
CHiME 2 WSJ0 | 2012 | domestic | 78 | 16 | 2 | no | free given WSJ0 (1500 $) | download | 33 | 101 | US English | 11 | read | 1 | no | real rir | dummy | fixed | no | domestic | yes | yes | yes | no | no |
ETAPE | 2012 | TV/radio debates, outdoor interviews | 42 | 16 | 1 | 1 | ? | 32 | 347 | French | 16 | spontaneous | 1 or more | dialog (up to 10% overlap) | reverb (some) | human | quasi-fixed | head | various real environments | no | N/S | yes | no | yes | |
GALE (Chinese broadcast conversation) | 2013 | TV dialog | 120 | 16 | 1 | no | 3.5 k$ | purchase | 108 | ? | Mandarin | ? | spontaneous | 1 or more | dialog | no | human | quasi-fixed | head | no | no | N/S | yes | no | no |
GALE (Arabic broadcast conversation) | 2013 | TV dialog | 251 | 16 | 1 | no | 7 k$ | purchase | 234 | ? | Arabic | ? | spontaneous | 1 or more | dialog | no | human | quasi-fixed | head | no | no | N/S | yes | no | no |
REVERB SimData | 2013 | domestic, office | 25 | 16 | 8 | no | free given WSJCAM0 (1750 $) | purchase | 25 | 130 | UK English | 10 | read | 1 | no | real rir | loudspeaker | fixed | no | stationary background | original, spatial image | yes | yes | no | yes |
DIRHA | 2014 | domestic | 3.8 | 48 | 40 | no | free | download | 1.3 | 30 | various | ? | command, read, spontaneous | 1 or more | simulated | real rir | loudspeaker | various | no | domestic (sum of events) | yes | yes | yes | no | yes |
Contents
Automatic speech recognition
1st CHiME Challenge (2011)
Artificially distorted version of the small vocabulary GRID audio-visual corpus (audio only). Binaural reverberated speech with speaker situated in front of the microphones. Additive household noises impinging from different directions. Clean-training, noisy-training, development and evaluation sets available, see
- Jon Barker, E. Vincent, N. Ma, H. Christensen, P. Green, "The PASCAL CHiME speech separation and recognition challenge", Computer Speech & Language, Volume 27, Issue 3, May 2013, Pages 621-633.
Available from Computer Speech and Language here
Corpus available here (no cost)
Resources
Baselines
- See the paper above for results for a wide range of techniques.
AURORA 5 (2007)
Artificially distorted version of the digits TI-DIGITS corpus. Additive noise and additive noise plus reverberant speech sets. Variable SNR range. Various mixed training sets, no evaluation set, see
- G. Hirsch "Aurora-5 Experimental Framework for the Performance Evaluation of Speech Recognition in Case of a Hands-free Speech Input in Noisy Environments", Niederrhein University of Applied Sciences, 2007.
Paper available online here (no cost)
Corpus available from LDC here
Resources
- Training recipe for HTK is provided with the corpora.
Baselines
- Reproducible baseline: The above cited paper includes a baseline for the ETSI Advanced Front-End.
AURORA 4 (2002)
Artificially distorted version of the 5K word Wall Street Journal corpus (WSJ0). Stationary and non-stationary noises added. Second recordings with distant mismatched microphone. Clean-training, mixed-training, noisy training and test sets available. No evaluation set, see
- G. Hirsch "Experimental Framework for the Performance Evaluation of Speech Recognition Front-ends on a Large Vocabulary Task", ETSI STQ Aurora DSR Working Group, 2002.
Paper available with the corpus.
Corpora available from ELRA here and here
Resources
- Training recipe for HTK available here. Note that this recipe is for Wall-Street Journal (WSJ0), which is the clean speech version of AURORA4. Small changes are needed in the feature extraction scripts to account for different file terminations.
Speaker identification and verification
Speech enhancement and separation
Other applications
Contribute a dataset
To contribute a new dataset, please
- create an account and login
- go to the wiki page above corresponding to your application; if it does not exist yet, you may create it
- click on the "Edit" link at the top of the page and add a new section for your dataset (the datasets are ordered by year of collection)
- click on the "Save page" link at the bottom of the page to save your modifications
Please make sure to provide the following information:
- name of the dataset and year of collection
- authors, institution, contact information
- link to the dataset and to side resources (lexicon, language model, etc)
- short description (nature of the data, license, etc) and link to a paper/report describing the dataset, if any
- at least 1 research result obtained for this dataset (see below)
We currently cannot provide storage space for large datasets. Please upload the dataset at a stable URL on the website of your institution or elsewhere and provide its URL only. If this is not possible, please contact the resources sharing working group.
Contribute a research result
To contribute a new research result, please
- create an account and login
- go to the wiki page and the section corresponding to the dataset for which this result was obtained
- click on the "Edit" link on the right of the section header and add a new item for your result
- click on the "Save page" link at the bottom of the page to save your modifications
Please make sure to provide the following information:
- authors, paper/report title, means of publication
- link to the pdf of the paper
- link to derived data (output transcriptions, intermediary data, etc)
- Code and instructions to reproduce experiments (if available)
In order to save storage space, please do not upload the paper on this wiki, but link it as much as possible from your institutional archive, from another public archive (e.g., arxiv) or from the publisher website (e.g., ieexplore).
We currently cannot provide storage space for large datasets. Please upload the derived data at a stable URL on the website of your institution or elsewhere and provide its URL only. If this is not possible, please contact the resources sharing working group.