Revolutionizing Text-to-Speech Synthesis: Introducing NaturalSpeech-3 with Factorized Diffusion Models

Recent advancements in text-to-speech (TTS) synthesis have struggled to achieve high-quality results due to the complexity of speech, which involves various attributes like content, prosody, timbre, and acoustic details. While scaling up dataset size and model complexity has shown promise for zero-shot TTS, issues with voice quality, similarity, and prosody persist. Attempts to address these […]

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