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K. Bhogale

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#natural language process... Preprint Sep 2026

Vimarsha: Faithful ASR Evaluation for Indian Languages with Demographic Diversity, In-the-Wild Audio and Spelling Variations

Evaluation benchmarks for Indian language automatic speech recognition (ASR) suffer from two systematic biases: optimistic scores from clean, controlled audio conditions, and pessimistic scores from overly rigid transcription standards that penalize valid linguistic variations. We introduce Vimarsha, a 100-hour benchma...

K. Bhogale, Srija Anand, Sadakopa Ramakrishnan Thothathiri et al. · 0 citations

Jul 2026

Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages

In this work, we introduce Indic DiarBench, a speaker diarization and ASR benchmark dataset spanning all 22 scheduled languages of India. This corpus comprises approximately 108 hours of natural multi-speaker audio from near-field meetings, far-field recordings, and in-the-wild audios. All annotations are human-correct...

Deovrat Mehendale, Aditya Mehndiratta, Dhruv Rathi et al. · arXiv.org · 0 citations