pretty_name: OpenSLR
annotations_creators:
- found
language_creators:
- found
language:
- af
- bn
- ca
- en
- es
- eu
- gl
- gu
- jv
- km
- kn
- ml
- mr
- my
- ne
- si
- st
- su
- ta
- te
- tn
- ve
- xh
- yo
language_bcp47:
- en-GB
- en-IE
- en-NG
- es-CL
- es-CO
- es-PE
- es-PR
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids: []
paperswithcode_id: null
dataset_info:
- config_name: SLR41
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2423902
num_examples: 5822
download_size: 1890792360
dataset_size: 2423902
- config_name: SLR42
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1427984
num_examples: 2906
download_size: 866086951
dataset_size: 1427984
- config_name: SLR43
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1074005
num_examples: 2064
download_size: 800375645
dataset_size: 1074005
- config_name: SLR44
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1776827
num_examples: 4213
download_size: 1472252752
dataset_size: 1776827
- config_name: SLR63
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2016587
num_examples: 4126
download_size: 1345876299
dataset_size: 2016587
- config_name: SLR64
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 810375
num_examples: 1569
download_size: 712155683
dataset_size: 810375
- config_name: SLR65
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2136447
num_examples: 4284
download_size: 1373304655
dataset_size: 2136447
- config_name: SLR66
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1898335
num_examples: 4448
download_size: 1035127870
dataset_size: 1898335
- config_name: SLR69
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1647263
num_examples: 4240
download_size: 1848659543
dataset_size: 1647263
- config_name: SLR35
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 73565374
num_examples: 185076
download_size: 18900105726
dataset_size: 73565374
- config_name: SLR36
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 88942337
num_examples: 219156
download_size: 22996553929
dataset_size: 88942337
- config_name: SLR70
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1339608
num_examples: 3359
download_size: 1213955196
dataset_size: 1339608
- config_name: SLR71
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1676273
num_examples: 4374
download_size: 1445365903
dataset_size: 1676273
- config_name: SLR72
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1876301
num_examples: 4903
download_size: 1612030532
dataset_size: 1876301
- config_name: SLR73
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2084052
num_examples: 5447
download_size: 1940306814
dataset_size: 2084052
- config_name: SLR74
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 237395
num_examples: 617
download_size: 214181314
dataset_size: 237395
- config_name: SLR75
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1286937
num_examples: 3357
download_size: 1043317004
dataset_size: 1286937
- config_name: SLR76
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2756507
num_examples: 7136
download_size: 3041125513
dataset_size: 2756507
- config_name: SLR77
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2217652
num_examples: 5587
download_size: 2207991775
dataset_size: 2217652
- config_name: SLR78
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2121986
num_examples: 4272
download_size: 1743222102
dataset_size: 2121986
- config_name: SLR79
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2176539
num_examples: 4400
download_size: 1820919115
dataset_size: 2176539
- config_name: SLR80
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1308651
num_examples: 2530
download_size: 948181015
dataset_size: 1308651
- config_name: SLR86
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1378801
num_examples: 3583
download_size: 907065562
dataset_size: 1378801
- config_name: SLR32
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 4544052380
num_examples: 9821
download_size: 3312884763
dataset_size: 4544052380
- config_name: SLR52
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 77369899
num_examples: 185293
download_size: 14676484074
dataset_size: 77369899
- config_name: SLR53
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 88073248
num_examples: 218703
download_size: 14630810921
dataset_size: 88073248
- config_name: SLR54
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 62735822
num_examples: 157905
download_size: 9328247362
dataset_size: 62735822
- config_name: SLR83
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 7098985
num_examples: 17877
download_size: 7229890819
dataset_size: 7098985
config_names:
- 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
- SLR83
- SLR86
Dataset Card for openslr
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://www.openslr.org/
- Repository: [Needs More Information]
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
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 todataset.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 overdataset["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.