Text-to-Speech Dataset for Indian Languages


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Word clouds of the collected corpus for 3 languages

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 large 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.


Paper

  • Paper
    IndicSpeech: Text-to-Speech Corpus for Indian Languages

    Nimisha Srivastava, Rudrabha Mukhopadhyay*, Prajwal K R*, C.V. Jawahar
    IndicSpeech: Text-to-Speech Corpus for Indian Languages, LREC, 2020 (Accepted).
    [PDF] |

    WILL BE UPDATED AFTER PUBLICATION

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Contact

  1. Prajwal K R - This email address is being protected from spambots. You need JavaScript enabled to view it.
  2. Rudrabha Mukhopadhyay - This email address is being protected from spambots. You need JavaScript enabled to view it.