OpenSLR is a site devoted to hosting speech and language resources,
such as training corpora for speech recognition, and software related to speech recognition. 
They intend to be a convenient place for anyone to put resources that they have created,
so that they can be downloaded publicly.

They aim to provide a central, hassle-free place for others to put their speech resources. see there http://www.openslr.org/contributions.html

#Supported Task
Automatic Speech Recognition

#Languages
Gujarati

Identifier: SLR78

Summary: Data set which contains recordings of native speakers of Gujarati.

Category: Speech

License: Attribution-ShareAlike 4.0 International

Downloads (use a mirror closer to you):
about.html [1.5K]   (Information about the data set )   Mirrors: [China]  
LICENSE [20K]   (License information for the data set )   Mirrors: [China]  
line_index_female.tsv [423K]   (Lines recorded by the female speakers )   Mirrors: [China]  
line_index_male.tsv [393K]   (Lines recorded by the male speakers )   Mirrors: [China]  
gu_in_female.zip [917M]   (Archive containing recordings from female speakers )   Mirrors: [China]  
gu_in_male.zip [825M]   (Archive file recordings from male speakers )   Mirrors: [China]  
About this resource:

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

See LICENSE file for license information.

Copyright 2018, 2019 Google, Inc.

If you use this data in publications, please cite it as follows:

  @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},
  }

region:us
{}
TAGS
#region-us 

OpenSLR is a site devoted to hosting speech and language resources,
such as training corpora for speech recognition, and software related to speech recognition. 
They intend to be a convenient place for anyone to put resources that they have created,
so that they can be downloaded publicly.

They aim to provide a central, hassle-free place for others to put their speech resources. see there URL

#Supported Task
Automatic Speech Recognition

#Languages
Gujarati

Identifier: SLR78

Summary: Data set which contains recordings of native speakers of Gujarati.

Category: Speech

License: Attribution-ShareAlike 4.0 International

Downloads (use a mirror closer to you):
URL [1.5K]   (Information about the data set )   Mirrors: [China]  
LICENSE [20K]   (License information for the data set )   Mirrors: [China]  
line_index_female.tsv [423K]   (Lines recorded by the female speakers )   Mirrors: [China]  
line_index_male.tsv [393K]   (Lines recorded by the male speakers )   Mirrors: [China]  
gu_in_female.zip [917M]   (Archive containing recordings from female speakers )   Mirrors: [China]  
gu_in_male.zip [825M]   (Archive file recordings from male speakers )   Mirrors: [China]  
About this resource:

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. URL

See LICENSE file for license information.

Copyright 2018, 2019 Google, Inc.

If you use this data in publications, please cite it as follows:

  @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 = {URL
    ISBN = "{979-10-95546-34-4},
  }

TAGS
#region-us 

passage: TAGS
#region-us 
