Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks-Reference-Cited by-同舟云学术

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Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks

Published:2020-04 Issue: Volume:169 Page:107368
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Takamichi Shinnosuke^ORCID,Saito Yuki^ORCID,Takamune Norihiro,Kitamura Daichi,Saruwatari Hiroshi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference31 articles.

1. Statistical parametric speech synthesis;Zen;Speech Commun.,2009

2. Direct modeling of frequency spectra and waveform generation based on phase recovery for DNN-based speech synthesis;Takaki,2017

3. Signal estimation from modified short-time fourier transform;Griffin;IEEE Trans. Acoust. Speech Signal Process.,1984

4. Generative adversarial nets;Goodfellow;Proc. NIPS,2014

5. Generative moment matching networks;Li,2015

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