AI speech recognition model trained on 65 Indian languages and dialects released
Researchers at Indian Institute of Science (IISc)’s SPIRE Lab, in collaboration with ARTPARK and Google, have released SraVaani, the first multilingual Indian speech recognition model trained on 65 Indian languages and dialects, including over 40 languages that today’s speech recognition systems do not officially support.Designed to take speech AI beyond scheduled languages, SraVaani extends automatic speech recognition to several regional and non-scheduled Indian languages that remain underserved by existing speech technology. The model is freely and publicly available on Hugging Face under a Massachusetts Institute of Technology (MIT) licence.
While most speech AI systems work effectively in only a handful of dominant languages, leaving many of the languages and dialects spoken across India without reliable speech-to-text capabilities, SraVaani addresses this gap.
It covers 20 scheduled languages and 45 regional languages and dialects, potentially opening speech AI capabilities to around 25 crore people as per the 2011 Census, whose languages are not properly handled by current systems.
The model supports languages such as Garo, Angika, Chakma, Kokborok, Tulu, Bundeli and Bajjika.
Results on several of these languages are particularly strong, including a 9.5% word error rate on Garo, compared with 69.4% for the next-best system evaluated.
“At IISc, research has always been in service to the nation, and SraVaani, serving more than 60 Indian languages, is a contribution towards that,” said Govindan Rangarajan, Director, IISc.
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