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P. Ghosh

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Preprint Sep 2026

Articulatory Source-Filter TTS: Physically Grounded Control through Vocal Tract Kinematics

Modern neural text-to-speech (TTS) systems achieve remarkable acoustic fidelity but act as black boxes, offering little interpretable control over the vocal tract filter. We propose a controllable source-filter TTS architecture grounded in articulatory kinematics. An Acoustic-to-Articulatory Inversion (AAI) model, enha...

Jesuraja Bandekar, Shinji Watanabe, P. Ghosh · 0 citations
#natural language process... Preprint Sep 2026

A Training Criterion with Token-Level Tolerance to Transcription Ambiguity for Automatic Speech Recognition

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 localized differences in pronunciation, spelling, or lexical realization that the acoustics do not uniquely determine. Omni-temporal Classi...

Saurabh Kumar, Diptiman Mohanta, P. Ghosh · 0 citations
Preprint Aug 2026

SraVaani 1.0: Scaling Inclusive Speech Recognition for Indic Languages

SraVaani-1.0 achieves the lowest word error rate (WER) on a large number of language-dataset pairs while remaining competitive with the best-performing systems on high resource while being assessed exclusively on the VAANI benchmark.

Sujith Pulikodan, A. Basu, J. PavanKumar et al. · 1 citation · ⚡1

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