4 citations · 11 across the 13 of their papers we have counts for
3 papers · 1 filter
Vimarsha: Faithful ASR Evaluation for Indian Languages with Demographic Diversity, In-the-Wild Audio and Spelling Variations
Kaushal Santosh Bhogale, Srija Anand, Sadakopa Ramakrishnan Thothathiri +3
Evaluation benchmarks for Indian language automatic speech recognition (ASR) suffer from two systematic biases: optimistic scores from clean, controlled audio conditions, and pessi…
Voice of India: A Large-Scale Benchmark for Real-World Speech Recognition in India
Kaushal Bhogale, Manas Dhir, Amritansh Walecha +11
Existing Indic ASR benchmarks often use scripted, clean speech and leaderboard driven evaluation that encourages dataset specific overfitting. In addition, strict single reference…
Towards Orthographically-Informed Evaluation of Speech Recognition Systems for Indian Languages
Kaushal Santosh Bhogale, Tahir Javed, Greeshma Susan John +4
Evaluating ASR systems for Indian languages is challenging due to spelling variations, suffix splitting flexibility, and non-standard spellings in code-mixed words. Traditional Wor…