IndicSpeech: Text-to-Speech Corpus for Indian Languages

Nimisha Srivastava, Rudrabha Mukhopadhyay, Prajwal K R, C V Jawahar


Abstract
India is a country where several tens of languages are spoken by over a billion strong population. Text-to-speech systems for such languages will thus be extremely beneficial for wide-spread content creation and accessibility. Despite this, the current TTS systems for even the most popular Indian languages fall short of the contemporary state-of-the-art systems for English, Chinese, etc. We believe that one of the major reasons for this is the lack of large, publicly available text-to-speech corpora in these languages that are suitable for training neural text-to-speech systems. To mitigate this, we release a 24 hour text-to-speech corpus for 3 major Indian languages namely Hindi, Malayalam and Bengali. In this work, we also train a state-of-the-art TTS system for each of these languages and report their performances. The collected corpus, code, and trained models are made publicly available.
Anthology ID:
2020.lrec-1.789
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6417–6422
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.789
DOI:
Bibkey:
Cite (ACL):
Nimisha Srivastava, Rudrabha Mukhopadhyay, Prajwal K R, and C V Jawahar. 2020. IndicSpeech: Text-to-Speech Corpus for Indian Languages. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6417–6422, Marseille, France. European Language Resources Association.
Cite (Informal):
IndicSpeech: Text-to-Speech Corpus for Indian Languages (Srivastava et al., LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.789.pdf