Sujith Pulikodan
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This paper investigates the effectiveness of incorporating synthetic speech data in Automatic Speech Recognition (ASR) Systems for three Indic languages by analyzing performance gains, script sources, speech synthesis models, and voice cloning.
The paper introduces a new inclusive, multimodal Hindi ASR benchmark with real-world recordings and diverse demographic groups, enabling more robust and realistic evaluation.
Papers
Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi
Sujith Pulikodan, Agneedh Basu, Saurabh Kumar, Pranav Bhat +4 more
The paper introduces a new inclusive, multimodal Hindi ASR benchmark with real-world recordings and diverse demographic groups, enabling more robust and realistic evaluation.