Ayan Kashyap — accepted AI-conference papers

2025

MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI

Neil Kumar Shah, Ayan Kashyap, Shirish S. Karande, Vineet Gandhi

ICASSP 2025accepted

Previous real-time MRI (rtMRI)-based speech synthesis models depend heavily on noisy ground-truth speech. Applying loss directly over ground truth mel-spectrograms entangles speech content with MRI noise, resulting in poor intelligibility. We introduce a novel approach that adapts the multi-modal se…

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2025

Prompt-to-Correct: Automated Test-Time Pronunciation Correction with Voice Prompts

Ayan Kashyap, Neil Kumar Shah, Vineet Gandhi

ICASSP 2025accepted

Pronunciation correction is crucial for Text-to-Speech (TTS) systems in production. Traditional methods, which rely on phoneme sequence manipulation, are often cumbersome and error-prone. To address this, we propose Prompt-to-Correct, an editing-based methodology for pronunciation correction in TTS…

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