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Found 3 papers, 2 papers with code
LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
Hindi, one of the most spoken language of India, exhibits a diverse array of accents due to its usage among individuals from diverse linguistic origins.
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Prior to this work, there was (i) no parallel training data spanning all 22 languages, (ii) no robust benchmarks covering all these languages and containing content relevant to India, and (iii) no existing translation models which support all the 22 scheduled languages of India.
Svarah: Evaluating English ASR Systems on Indian Accents
India is the second largest English-speaking country in the world with a speaker base of roughly 130 million.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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