4 papers
SraVaani 1.0: Scaling Inclusive Speech Recognition for Indic Languages
Sujith Pulikodan, Agneedh Basu, Pavan Kumar J +4
India's linguistic landscape spans over 700 languages and thousands of dialects, yet the vast majority of automatic speech recognition (ASR) systems support only a small fraction o…
A study on the impact of region specific data on the performance of Indic ASR
Agneedh Basu, Pavan Kumar J, Pranav Bhat +4
Automatic Speech Recognition (ASR) systems are widely deployed across linguistically diverse regions, yet their ability to generalize across fine-grained geographic variation remai…
Factors affecting ASR performance: A study using state of the art ASR models in Indic Languages
Agneedh Basu, Pavan Kumar J, Pranav Bhat +4
ASR performance varies across languages, speakers, and recording conditions, yet systematic analysis for Indic languages remain limited. We present a large-scale study of decoded o…
VAANI: Capturing the language landscape for an inclusive digital India
Sujith Pulikodan, Abhayjeet Singh, Agneedh Basu +17
Voice based technologies have the potential to bridge digital accessibility gaps; however, existing datasets fail to capture the linguistic and regional diversity of Indic language…