A hierarchical speech enhancement pipeline that estimates semantic tokens first and acoustic tokens second, via a factorized codec and diffusion, improves DNSMOS and downstream TTS speaker similarity in noisy far-field conditions.
SE has been widely applied in various fields, including hear- ing aids, text-to-speech (TTS) systems, and robust automatic speech recognition (ASR) [1, 2]
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A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion Model
A hierarchical speech enhancement pipeline that estimates semantic tokens first and acoustic tokens second, via a factorized codec and diffusion, improves DNSMOS and downstream TTS speaker similarity in noisy far-field conditions.