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af_za/za/afr/wavs/afr_7130_0927262104.wav
Daar is betwyfel of die sin in Afrikaans geskryf is.
af_za/za/afr/wavs/afr_7214_4728447333.wav
Meermale neem Roy Newman sy toevlug tot ds. du Plooy.
af_za/za/afr/wavs/afr_1919_7263309900.wav
The weeks had gone by, and no overt acts had been attempted.
af_za/za/afr/wavs/afr_0184_9845438708.wav
Dit is 18 grade Celsius in Victoria West met swaar wind
af_za/za/afr/wavs/afr_2418_7107314450.wav
Suid-Afrika het die loot gewen en Afghanistan laat kolf by Sahara stadion Kingsmead.
af_za/za/afr/wavs/afr_0184_9464615317.wav
Afghanistan was tot 320 lopies beperk met 25 ekstras
af_za/za/afr/wavs/afr_6590_0570472414.wav
Is sy verwees?
af_za/za/afr/wavs/afr_0184_8091776137.wav
drie, elf, elf
af_za/za/afr/wavs/afr_0184_6891360627.wav
Hou twee noordpole naby aan mekaar.
af_za/za/afr/wavs/afr_2418_2307719291.wav
Rilee Rossouw het 94 lopies van 97 balle aangeteken.
af_za/za/afr/wavs/afr_1919_2576312512.wav
He had forgotten to build a fire and thaw out.
af_za/za/afr/wavs/afr_7130_8719736766.wav
vier en veertig, vier, een en vyftig
af_za/za/afr/wavs/afr_6590_2020231661.wav
Nieu-Seeland het die loot gewen en Bangladesj laat kolf by Sahara Newlands.
af_za/za/afr/wavs/afr_7130_2538447035.wav
Guano is die uitskeiding van seevoëls, vlermuise en robbe.
af_za/za/afr/wavs/afr_7214_5410757256.wav
sewe agt nege
af_za/za/afr/wavs/afr_7130_6571369919.wav
Philip stood undecided, his ears strained to catch the slightest sound.
af_za/za/afr/wavs/afr_8963_2683729714.wav
Een persoon hardloop vinnig twee keer om die veld.
af_za/za/afr/wavs/afr_0184_6118373212.wav
In die FIFA-sokkerwêreldbeker, het Aston Villa vir Crystal Palace met 3 teenoor 6 gewen
af_za/za/afr/wavs/afr_8924_2615893053.wav
I lost my balance and pitched head foremost into the ooze.
af_za/za/afr/wavs/afr_0184_9629526813.wav
He had barely entered this when he saw the glow of a fire.
af_za/za/afr/wavs/afr_2418_8636058336.wav
Vierhoek met sye en is gegee.
af_za/za/afr/wavs/afr_8924_5432812397.wav
Dit is minus 1 grade Celsius in Grabouw
af_za/za/afr/wavs/afr_8963_0964498559.wav
Dit handel oor kragopwekking, stoomopwekking en selfs ruimtetuie.
af_za/za/afr/wavs/afr_1919_5179218041.wav
Wes-Indiese Eilande het Ierland vir net 516 lopies uitgeboul by die De Beers Diamant stadion.
af_za/za/afr/wavs/afr_8924_3926283437.wav
Oor 300 meter, neem die N3 na Durban.
af_za/za/afr/wavs/afr_1919_5025644652.wav
Tabraiz Shamsi het 225 lopies van 60 balle aangeteken.
af_za/za/afr/wavs/afr_1919_3585734457.wav
As skuif die grafiek vertikaal afwaarts.
af_za/za/afr/wavs/afr_6590_7045178890.wav
Australië het 271 vir 10 paaltjies aangeteken.
af_za/za/afr/wavs/afr_8148_6903892396.wav
vier drie agt
af_za/za/afr/wavs/afr_8963_7563377835.wav
And Tom King patiently endured.
af_za/za/afr/wavs/afr_8148_2244072194.wav
But who was Eileen's double.
af_za/za/afr/wavs/afr_8963_7577188331.wav
Zakhele Qwabe was onoorwonne met 58 lopies van 97 balle.
af_za/za/afr/wavs/afr_6590_2636988705.wav
And when you come back in a few days, bring Eileen.
af_za/za/afr/wavs/afr_8963_8154319236.wav
triljoen, biljoen, miljard, miljoen, duisend, honderd
af_za/za/afr/wavs/afr_8924_7604766433.wav
And MacDougall was beyond the trail, with three weeks to spare.
af_za/za/afr/wavs/afr_7214_2035266763.wav
triljoen, biljoen, miljard, miljoen, duisend, honderd
af_za/za/afr/wavs/afr_8924_8945873371.wav
Vir 'n eeu keer rus en vrede terug na Sjina en die ekonomie blom.
af_za/za/afr/wavs/afr_7130_0485936934.wav
Nimrod replied, with a slight manifestation of sensitiveness.
af_za/za/afr/wavs/afr_8924_1019781112.wav
There's too much of the schoolboy in me.
af_za/za/afr/wavs/afr_6590_9494482562.wav
'n Groep kinders speel sokker op 'n oop stuk veld.
af_za/za/afr/wavs/afr_0184_4244857816.wav
In 1949 is 'n splinternuwe huisvaderswoning op die perseel gebou.
af_za/za/afr/wavs/afr_6590_1953898290.wav
Veertig duikbomwerpers van vyf eskadrons neem deel aan die vertoning.
af_za/za/afr/wavs/afr_8148_2246803524.wav
Also, there was awe in their faces.
af_za/za/afr/wavs/afr_8148_7401298690.wav
I have to be careful of them, as they tear very easily.
af_za/za/afr/wavs/afr_6590_2481117561.wav
Die afrigter het Lucky Baloyi laat in die spel met Hendrick Ekstein vervang
af_za/za/afr/wavs/afr_8924_4424967735.wav
In die premier-sokkerliga, het Chippa United vir Black Aces met 4 teenoor 2 gewen
af_za/za/afr/wavs/afr_1919_6836220034.wav
It was a large canoe.
af_za/za/afr/wavs/afr_1919_4955526585.wav
Youth had come back to her, freed from the yoke of oppression.
af_za/za/afr/wavs/afr_0184_6793250879.wav
Lindokuhle Nkambule het die bal vorentoe gedryf
af_za/za/afr/wavs/afr_2418_2689180640.wav
Skryf jou antwoord as 'n persentasie, korrek tot twee desimale plekke.
af_za/za/afr/wavs/afr_8924_8170129260.wav
The questions may have come vaguely in his mind.
af_za/za/afr/wavs/afr_8924_9344750697.wav
Is die molekule polêr of nie-polêr?
af_za/za/afr/wavs/afr_6590_9045621910.wav
Neem die N2 in 'n Suidelike rigting.
af_za/za/afr/wavs/afr_1919_3739008987.wav
agt vyf twee
af_za/za/afr/wavs/afr_8963_1022323251.wav
Waarom kry ons dag en nag?
af_za/za/afr/wavs/afr_7214_3385376326.wav
Hy sou kyk hoe hy herstel, maar word as leier verwyder.
af_za/za/afr/wavs/afr_7214_4383433079.wav
Kom ons kyk nou na vloeistowwe.
af_za/za/afr/wavs/afr_8963_6806137829.wav
Chippa United het teen SuperSport United in a uitklopstryd geseëvier
af_za/za/afr/wavs/afr_6590_5118404885.wav
Naby aan nul op die skaal.
af_za/za/afr/wavs/afr_8963_0169989869.wav
Wat gebeur met die volume soos die druk afneem?
af_za/za/afr/wavs/afr_8924_1318275369.wav
Die kolwer het 448 toetslopies in sy loopbaan aangeteken, teen ’n gemiddeld van 74.73.
af_za/za/afr/wavs/afr_0184_4996916818.wav
Red-Eye never committed a more outrageous deed.
af_za/za/afr/wavs/afr_8963_0089694049.wav
Sy lewe en loopbaan na die oorlog word bespreek.
af_za/za/afr/wavs/afr_1919_6252142542.wav
Sal hulle herverkies word tydens die verkiesing?
af_za/za/afr/wavs/afr_8963_0041068657.wav
Calvin Savage was onoorwonne met 877 lopies van 66 balle.
af_za/za/afr/wavs/afr_8963_8751910423.wav
agt twee ses
af_za/za/afr/wavs/afr_6590_9720823291.wav
agt en vyftig, drie en vyftig, vier en vyftig
af_za/za/afr/wavs/afr_8963_6135056242.wav
twaalf, ses, elf
af_za/za/afr/wavs/afr_8963_9686148828.wav
Dit is 2 grade Celsius in Loopspruit met mis
af_za/za/afr/wavs/afr_2418_2399617336.wav
Skryf vyf aktiwiteite neer wat jy omkring het.
af_za/za/afr/wavs/afr_1919_6687821857.wav
Do you know any good land around here.
af_za/za/afr/wavs/afr_7214_1129864929.wav
ses drie vier
af_za/za/afr/wavs/afr_0184_3630447944.wav
Jy moet nou 'n ontwerp teken vir jou vuurpyl.
af_za/za/afr/wavs/afr_0184_6262162182.wav
Oorbietjies is soms prooi en word ook deur mense gejag.
af_za/za/afr/wavs/afr_6590_6730478240.wav
Azaka se eiesoortige idees sluit aan by Zen boeddhisme en die Nuwe Era-beweging.
af_za/za/afr/wavs/afr_7130_2072483186.wav
Ierland het Pakistan vir net 92 lopies uitgeboul by die De Beers Diamant stadion.
af_za/za/afr/wavs/afr_1919_5082572628.wav
een twee een
af_za/za/afr/wavs/afr_2418_1449847030.wav
A wildly exciting time was his during the week preceding Thursday the eighteenth.
af_za/za/afr/wavs/afr_6590_4190504662.wav
In die premier-liga, het Polokwane City vir Orlando Pirates met 9-8 geklop
af_za/za/afr/wavs/afr_1919_0419112748.wav
Low bush whipped him in the face and left no sting.
af_za/za/afr/wavs/afr_7130_1920641699.wav
He leapt again, and the club caught him once more.
af_za/za/afr/wavs/afr_7130_6743436826.wav
Daar is een metielgroep geheg aan die hoofketting.
af_za/za/afr/wavs/afr_0184_3087739891.wav
Daar is geen winkel, vulstasie of outobank in hierdie dorpie nie.
af_za/za/afr/wavs/afr_7214_3816443681.wav
Langs die doelhok word die doelhok-area aangetref.
af_za/za/afr/wavs/afr_7130_7238870809.wav
Die ooptyd is hoe lank die klep deur die meganisme oopgehou word.
af_za/za/afr/wavs/afr_8924_4907274585.wav
University of Pretoria en Leicester City kom Donderdag by Olën Park teen mekaar te staan
af_za/za/afr/wavs/afr_6590_9440705416.wav
I had faith in them.
af_za/za/afr/wavs/afr_2418_5125424595.wav
In daardie era was die werksdag twaalf tot sestien uur lank.
af_za/za/afr/wavs/afr_7214_7113303986.wav
Die aanvangskolwer, Eddie Leie het 414 lopies aangeteken.
af_za/za/afr/wavs/afr_8963_1199132744.wav
Newcastle United en Orlando Pirates kom Saturdag by Outeniqua Park teen mekaar te staan
af_za/za/afr/wavs/afr_8924_1233737032.wav
Hy werk nou saam met generaal Tjaart Geldenhuys van die Rooi Leeus.
af_za/za/afr/wavs/afr_7130_8197894130.wav
David Wiese se syfers was 6 paaltjies vir 23 lopies , van 17 boulbeurte, met 2 leë boulbeurte, 10 foutballe en 9 wydlopers.
af_za/za/afr/wavs/afr_0184_4948860275.wav
Betroubare bronne dui daarop dat dit kon uitloop op 'n volksmoord.
af_za/za/afr/wavs/afr_7130_8250245717.wav
Halfway around the track one donkey got into an argument with its rider.
af_za/za/afr/wavs/afr_7130_4245035285.wav
Points of view, new ideas, life.
af_za/za/afr/wavs/afr_7130_2531909642.wav
Sy hoef gevolglik ook nie in hierdie stad te oorleef nie.
af_za/za/afr/wavs/afr_7130_0746663750.wav
Morné Morkel het 782 lopies van 56 balle aangeteken.
af_za/za/afr/wavs/afr_1919_4916074478.wav
Hoeveel ml sop het hy gemaak?
af_za/za/afr/wavs/afr_8963_8124577904.wav
To my surprise he began to show actual enthusiasm in my favor.
af_za/za/afr/wavs/afr_1919_3094780664.wav
Jou knieë en elmboë is plekke waar bene bymekaar kom.

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.

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