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Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
[article]
2019
arXiv
pre-print
Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability of neural vocoders for better quality speech enhancement. We term this parametric resynthesis (PR). In previous work, we showed that PR systems generate high quality speech for a single speaker using two neural vocoders, WaveNet and WaveGlow. Both these vocoders are traditionally speaker dependent. Here we first show that when trained on data from
arXiv:1911.06266v1
fatcat:nywlwlq4snfrlitoq744kl34z4