4 papers · 1 filter
Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages
Deovrat Mehendale, Aditya Mehndiratta, Dhruv Rathi +2
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 ho…
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…
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data
Tahir Javed, Kaushal Bhogale, Mitesh M. Khapra
We introduce Nirantar, a comprehensive framework for evaluating continual learning (CL) in multilingual and multi-domain ASR. Designed to reflect real-world CL challenges, Nirantar…