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Dataset Card for openslr

Dataset Summary

OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, and software related to speech recognition. Currently, following resources are available:

SLR32: High quality TTS data for four South African languages (af, st, tn, xh).

This data set contains multi-speaker high quality transcribed audio data for four languages of South Africa. The data set consists of wave files, and a TSV file transcribing the audio. In each folder, the file line_index.tsv contains a FileID, which in turn contains the UserID and the Transcription of audio in the file.

The data set has had some quality checks, but there might still be errors.

This data set was collected by as a collaboration between North West University and Google.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See https://github.com/google/language-resources#license for license information.

Copyright 2017 Google, Inc.

SLR35: Large Javanese ASR training data set.

This data set contains transcribed audio data for Javanese (~185K utterances). The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in collaboration with Reykjavik University and Universitas Gadjah Mada in Indonesia.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017 Google, Inc.

SLR36: Large Sundanese ASR training data set.

This data set contains transcribed audio data for Sundanese (~220K utterances). The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in Indonesia.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017 Google, Inc.

SLR41: High quality TTS data for Javanese.

This data set contains high-quality transcribed audio data for Javanese. The data set consists of wave files, and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. Each filename is prepended with a speaker identification number.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in collaboration with Gadjah Mada University in Indonesia.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google LLC

SLR42: High quality TTS data for Khmer.

This data set contains high-quality transcribed audio data for Khmer. The data set consists of wave files, and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. Each filename is prepended with a speaker identification number.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google LLC

SLR43: High quality TTS data for Nepali.

This data set contains high-quality transcribed audio data for Nepali. The data set consists of wave files, and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. Each filename is prepended with a speaker identification number.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in Nepal.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google LLC

SLR44: High quality TTS data for Sundanese.

This data set contains high-quality transcribed audio data for Sundanese. The data set consists of wave files, and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. Each filename is prepended with a speaker identification number.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in collaboration with Universitas Pendidikan Indonesia.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google LLC

SLR52: Large Sinhala ASR training data set.

This data set contains transcribed audio data for Sinhala (~185K utterances). The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google, Inc.

SLR53: Large Bengali ASR training data set.

This data set contains transcribed audio data for Bengali (~196K utterances). The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google, Inc.

SLR54: Large Nepali ASR training data set.

This data set contains transcribed audio data for Nepali (~157K utterances). The data set consists of wave files, and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2016, 2017, 2018 Google, Inc.

SLR63: Crowdsourced high-quality Malayalam multi-speaker speech data set

This data set contains transcribed high-quality audio of Malayalam sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR64: Crowdsourced high-quality Marathi multi-speaker speech data set

This data set contains transcribed high-quality audio of Marathi sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR65: Crowdsourced high-quality Tamil multi-speaker speech data set

This data set contains transcribed high-quality audio of Tamil sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR66: Crowdsourced high-quality Telugu multi-speaker speech data set

This data set contains transcribed high-quality audio of Telugu sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR69: Crowdsourced high-quality Catalan multi-speaker speech data set

This data set contains transcribed high-quality audio of Catalan sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR70: Crowdsourced high-quality Nigerian English speech data set

This data set contains transcribed high-quality audio of Nigerian English sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR71: Crowdsourced high-quality Chilean Spanish speech data set

This data set contains transcribed high-quality audio of Chilean Spanish sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR72: Crowdsourced high-quality Colombian Spanish speech data set

This data set contains transcribed high-quality audio of Colombian Spanish sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR73: Crowdsourced high-quality Peruvian Spanish speech data set

This data set contains transcribed high-quality audio of Peruvian Spanish sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR74: Crowdsourced high-quality Puerto Rico Spanish speech data set

This data set contains transcribed high-quality audio of Puerto Rico Spanish sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR75: Crowdsourced high-quality Venezuelan Spanish speech data set

This data set contains transcribed high-quality audio of Venezuelan Spanish sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR76: Crowdsourced high-quality Basque speech data set

This data set contains transcribed high-quality audio of Basque sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR77: Crowdsourced high-quality Galician speech data set

This data set contains transcribed high-quality audio of Galician sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR78: Crowdsourced high-quality Gujarati multi-speaker speech data set

This data set contains transcribed high-quality audio of Gujarati sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR79: Crowdsourced high-quality Kannada multi-speaker speech data set

This data set contains transcribed high-quality audio of Kannada sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR80: Crowdsourced high-quality Burmese speech data set

This data set contains transcribed high-quality audio of Burmese sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR83: Crowdsourced high-quality UK and Ireland English Dialect speech data set

This data set contains transcribed high-quality audio of English sentences recorded by volunteers speaking different dialects of the language. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.csv contains a line id, an anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

The recordings from the Welsh English speakers were collected in collaboration with Cardiff University.

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019 Google, Inc.

SLR86: Crowdsourced high-quality multi-speaker speech data set

This data set contains transcribed high-quality audio of sentences recorded by volunteers. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

Copyright 2018, 2019, 2020 Google, Inc.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

Javanese, Khmer, Nepali, Sundanese, Malayalam, Marathi, Tamil, Telugu, Catalan, Nigerian English, Chilean Spanish, Columbian Spanish, Peruvian Spanish, Puerto Rico Spanish, Venezuelan Spanish, Basque, Galician, Gujarati, Kannada, Afrikaans, Sesotho, Setswana and isiXhosa.

Dataset Structure

Data Instances

A typical data point comprises the path to the audio file, called path and its sentence.

SLR32, SLR35, SLR36, SLR41, SLR42, SLR43, SLR44, SLR52, SLR53, SLR54, SLR63, SLR64, SLR65, SLR66, SLR69, SLR70, SLR71, SLR72, SLR73, SLR74, SLR75, SLR76, SLR77, SLR78, SLR79, SLR80, SLR86

{
  'path': '/home/cahya/.cache/huggingface/datasets/downloads/extracted/4d9cf915efc21110199074da4d492566dee6097068b07a680f670fcec9176e62/su_id_female/wavs/suf_00297_00037352660.wav'
  'audio': {'path': '/home/cahya/.cache/huggingface/datasets/downloads/extracted/4d9cf915efc21110199074da4d492566dee6097068b07a680f670fcec9176e62/su_id_female/wavs/suf_00297_00037352660.wav',
      'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346,
              0.00091553,  0.00085449], dtype=float32),
      'sampling_rate': 16000},
  'sentence': 'Panonton ting haruleng ningali Kelly Clarkson keur nyanyi di tipi',
}

Data Fields

  • path: The path to the audio file.
  • audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. dataset[0]["audio"] should always be preferred over dataset["audio"][0].
  • sentence: The sentence the user was prompted to speak.

Data Splits

There is only one "train" split for all configurations and the number of examples are:

Number of examples
SLR41 5822
SLR42 2906
SLR43 2064
SLR44 4213
SLR63 4126
SLR64 1569
SLR65 4284
SLR66 4448
SLR69 4240
SLR35 185076
SLR36 219156
SLR70 3359
SLR71 4374
SLR72 4903
SLR73 5447
SLR74 617
SLR75 3357
SLR76 7136
SLR77 5587
SLR78 4272
SLR79 4400
SLR80 2530
SLR86 3583
SLR32 9821
SLR52 185293
SLR53 218703
SLR54 157905
SLR83 17877

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Each dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License (CC-BY-SA-4.0). See https://github.com/google/language-resources#license or the resource page on OpenSLR for more information.

Citation Information

SLR32

@inproceedings{van-niekerk-etal-2017,
    title = {{Rapid development of TTS corpora for four South African languages}},
    author = {Daniel van Niekerk and Charl van Heerden and Marelie Davel and Neil Kleynhans and Oddur Kjartansson and Martin Jansche and Linne Ha},
    booktitle = {Proc. Interspeech 2017},
    pages = {2178--2182},
    address = {Stockholm, Sweden},
    month = aug,
    year  = {2017},
    URL   = {https://dx.doi.org/10.21437/Interspeech.2017-1139}
}

SLR35, SLR36, SLR52, SLR53, SLR54

@inproceedings{kjartansson-etal-sltu2018,
    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},
    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},
    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
    year  = {2018},
    address = {Gurugram, India},
    month = aug,
    pages = {52--55},
    URL   = {https://dx.doi.org/10.21437/SLTU.2018-11},
}

SLR41, SLR42, SLR43, SLR44

@inproceedings{kjartansson-etal-tts-sltu2018,
    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},
    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
    year  = {2018},
    address = {Gurugram, India},
    month = aug,
    pages = {66--70},
    URL   = {https://dx.doi.org/10.21437/SLTU.2018-14}
}

SLR63, SLR64, SLR65, SLR66, SLR78, SLR79

@inproceedings{he-etal-2020-open,
  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},
  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},
  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
  month = may,
  year = {2020},
  address = {Marseille, France},
  publisher = {European Language Resources Association (ELRA)},
  pages = {6494--6503},
  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},
  ISBN = "{979-10-95546-34-4},
}

SLR69, SLR76, SLR77

@inproceedings{kjartansson-etal-2020-open,
    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},
    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},
    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},
    year = {2020},
    pages = {21--27},
    month = may,
    address = {Marseille, France},
    publisher = {European Language Resources association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},
    ISBN = {979-10-95546-35-1},
}

SLR70, SLR71, SLR72, SLR73, SLR74, SLR75

@inproceedings{guevara-rukoz-etal-2020-crowdsourcing,
    title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}},
    author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur},
    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
    year = {2020},
    month = may,
    address = {Marseille, France},
    publisher = {European Language Resources Association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.lrec-1.801},
    pages = {6504--6513},
    ISBN = {979-10-95546-34-4},
}

SLR80

@inproceedings{oo-etal-2020-burmese,
    title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}},
    author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander},
    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
    month = may,
    year = {2020},
    pages = "6328--6339",
    address = {Marseille, France},
    publisher = {European Language Resources Association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.lrec-1.777},
    ISBN = {979-10-95546-34-4},
}

SLR86

@inproceedings{gutkin-et-al-yoruba2020,
    title = {{Developing an Open-Source Corpus of Yoruba Speech}},
    author = {Alexander Gutkin and I{\c{s}}{\i}n Demir{\c{s}}ahin and Oddur Kjartansson and Clara Rivera and K\d{\'o}lá Túb\d{\`o}sún},
    booktitle = {Proceedings of Interspeech 2020},
    pages = {404--408},
    month = {October},
    year = {2020},
    address = {Shanghai, China},
    publisher = {International Speech and Communication Association (ISCA)},
    doi = {10.21437/Interspeech.2020-1096},
    url = {https://dx.doi.org/10.21437/Interspeech.2020-1096},
}

Contributions

Thanks to @cahya-wirawan for adding this dataset.

Update on GitHub

Models trained or fine-tuned on openslr