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May, 2023
基于扩散的语音增强:联合生成和预测解码器
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
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Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama...
TL;DR
本文提出一种整合预测语音增强和扩散语音增强的统一系统,通过编码两者信息,并应用生成和预测解码器,最终将两种方法的输出融合,实现语音增强。实验证明,该方法可加快解码速度并提高性能。
Abstract
diffusion-based speech enhancement
(SE) has been investigated recently, but its decoding is very time-consuming. One solution is to initialize the decoding process with the enhanced feature estimated by a
predictive se
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