Papers by Vishesh Tripathi

1 papers
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS. (2024.findings-emnlp)

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Challenge: Existing text-to-speech (TTS) systems often fail to address the needs of Bahasa, resulting in limited adaptability, linguistic richness, or efficiency.
Approach: They propose a Bahasa text-to-speech dataset and a novel TTS model, EnGen-TTS, which enhance the quality and versatility of synthetic speech in the Bahasan language.
Outcome: The proposed model outperforms existing models even without fine-tuning and achieves a mean opinion score of 4.45 0.13.

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