SraVaani ASR Model Trained on 65 Indian Languages and Dialects

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SraVaani ASR Model Trained on 65 Indian Languages and Dialects

Science & Technology
SraVaani ASR Model Trained on 65 Indian Languages and Dialects

Researchers at IISc’s SPIRE Lab, in collaboration with ARTPARK and Google, release the SraVaani model.
SraVaani is a multilingual Automatic Speech Recognition (ASR) model trained on 65 Indian languages and dialects.

SraVaani Multilingual ASR Model:

Dimension Key Details
Developers SraVaani is released by researchers at IISc’s SPIRE Lab in collaboration with ARTPARK and Google.
Model type SraVaani comprises a multilingual model for Automatic Speech Recognition (ASR) systems.
Training coverage SraVaani is trained on 65 Indian languages and dialects.
Language composition SraVaani covers 20 scheduled languages, and 45 regional languages and dialects.
Dataset base SraVaani is built on top of the Vaani dataset, one of the largest speech corpora for Indian languages.
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Q 1 / 2
Consider the following statements about SraVaani’s training coverage:
1. Its training coverage includes Indian languages and dialects.
2. Its training coverage is limited to only scheduled languages.
Which of the statements given above are correct?