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cs.CL2026
A Training Criterion with Token-Level Tolerance to Transcription Ambiguity for Automatic Speech Recognition
Saurabh Kumar, Diptiman Mohanta, Prasanta Kumar Ghosh
Automatic speech recognition is typically trained assuming that the reference transcript is the only valid labeling of an utterance, yet even nominally verbatim transcripts contain…
cs.CL2026
Jointly Improving Dialect Identification and ASR in Indian Languages using Multimodal Feature Fusion
Saurabh Kumar, Amartyaveer, Prasanta Kumar Ghosh
Automatic Speech Recognition (ASR) and Dialect Identification (DID) are crucial for Indian languages, many of which are low-resource and exhibit significant dialectal differences.…