Researchers have developed Vāgdhenu, a novel text-to-speech system designed to convert Sanskrit shlokas into high-fidelity chanted recitations. The system utilizes an existing TTS backbone and neural vocoder, enhanced with specialized components for Sanskrit phonology and meter awareness. A key finding from the project is that text-side prosody conditioning is architecturally inert in the chosen backbone, with voice-steering and reference clips being the effective prosody controls. Vāgdhenu has been deployed in two significant projects: a video corpus of over 5,000 verses and an audio app featuring approximately 18,000 verses, with associated code and data released. AI
IMPACT Enhances accessibility and preservation of Sanskrit literature through advanced TTS technology.
RANK_REASON The cluster describes a research paper detailing a new system for Sanskrit text-to-speech. [lever_c_demoted from research: ic=1 ai=1.0]
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