A Speech Synthesis Approach for High Quality Speech Separation and Generation.
IEEE Signal Processing Letters(2019)
Abstract
We propose a new method for source separation by synthesizing the source from a speech mixture corrupted by various environmental noise. Unlike traditional source separation methods which estimate the source from the mixture as a replica of the original source (e.g. by solving an inverse problem), our proposed method is a synthesis-based approach which aims to generate a new signal (i.e. “fake” so...
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Key words
Decoding,Time-domain analysis,Feature extraction,Training,Speech synthesis,Source separation,Recurrent neural networks
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