| 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}, | |
| } | |