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14 August 2026

SraVaani multilingual speech recognition model

SraVaani is a significant technological development for linguistic inclusion in India, serving as excellent context for answers regarding digital divide, social empowerment, and inclusive growth.

1 min read 2 questions 2 prelims

Notes

  • SraVaani is a multilingual speech recognition model developed by IISc's SPIRE Lab, ARTPARK, and Google.
  • The model is trained on 65 Indian languages and dialects, including 20 scheduled and 45 non-scheduled/regional languages.
  • It aims to provide speech-to-text capabilities to underserved languages, such as Garo, Angika, Chakma, Kokborok, Tulu, Bundeli, and Bajjika.
  • The model potentially benefits approximately 25 crore people based on 2011 Census data.
  • SraVaani is released under an MIT licence and is publicly available on the Hugging Face platform.
  • Performance metrics show significant improvements, such as a 9.5% word error rate for the Garo language compared to 69.4% for the next-best system.

Questions

  1. Discuss the significance of multilingual AI models like SraVaani in bridging the digital divide and promoting linguistic inclusivity in India's digital governance. 150 words
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  2. How can advancements in indigenous speech recognition technology contribute to the 'Digital India' mission? Analyze the role of collaborative research between academic institutions and technology firms in addressing language barriers in public service delivery. 250 words
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Prelims

  1. Which institution led the development of the SraVaani multilingual speech recognition model?

  2. How many Indian languages and dialects is the SraVaani model trained on?