Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms

6 April 2018

Papers citing "Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms"

7 / 7 papers shown

Title
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis Hubert Siuzdak 37 79 0 01 Jun 2023
DiffPhase: Generative Diffusion-based STFT Phase Retrieval Tal Peer Simon Welker Timo Gerkmann DiffM 45 7 0 08 Nov 2022
Real time spectrogram inversion on mobile phone Oleg Rybakov Marco Tagliasacchi Yunpeng Li Liyang Jiang Xia Zhang Fadi Biadsy 23 4 0 01 Mar 2022
Phase reconstruction based on recurrent phase unwrapping with deep neural networks Yoshiki Masuyama Kohei Yatabe Yuma Koizumi Yasuhiro Oikawa Noboru Harada 22 21 0 14 Feb 2020
Deep Griffin-Lim Iteration Yoshiki Masuyama Kohei Yatabe Yuma Koizumi Yasuhiro Oikawa Noboru Harada 43 55 0 10 Mar 2019
Trainable Adaptive Window Switching for Speech Enhancement Yuma Koizumi Noboru Harada Y. Haneda 18 8 0 05 Nov 2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo 34 370 0 06 Jun 2018