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Phase reconstruction from amplitude spectrograms based on
  von-Mises-distribution deep neural network

Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network

10 July 2018
Shinnosuke Takamichi
Yuki Saito
Norihiro Takamune
Daichi Kitamura
Hiroshi Saruwatari
ArXivPDFHTML

Papers citing "Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network"

9 / 9 papers shown
Title
A Flexible Online Framework for Projection-Based STFT Phase Retrieval
A Flexible Online Framework for Projection-Based STFT Phase Retrieval
Tal Peer
Simon Welker
Johannes Kolhoff
Timo Gerkmann
24
1
0
13 Sep 2023
Vocos: Closing the gap between time-domain and Fourier-based neural
  vocoders for high-quality audio synthesis
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
Neural Speech Phase Prediction based on Parallel Estimation Architecture
  and Anti-Wrapping Losses
Neural Speech Phase Prediction based on Parallel Estimation Architecture and Anti-Wrapping Losses
Yang Ai
Zhenhua Ling
21
24
0
29 Nov 2022
Online Phase Reconstruction via DNN-based Phase Differences Estimation
Online Phase Reconstruction via DNN-based Phase Differences Estimation
Yoshiki Masuyama
Kohei Yatabe
Kento Nagatomo
Yasuhiro Oikawa
3DV
16
7
0
12 Nov 2022
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
Tal Peer
Simon Welker
Timo Gerkmann
DiffM
45
7
0
08 Nov 2022
Phase retrieval with Bregman divergences and application to audio signal
  recovery
Phase retrieval with Bregman divergences and application to audio signal recovery
Pierre-Hugo Vial
P. Magron
Thomas Oberlin
Cédric Févotte
21
18
0
01 Oct 2020
Phase reconstruction based on recurrent phase unwrapping with deep
  neural networks
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
Deep Griffin-Lim Iteration
Yoshiki Masuyama
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
40
55
0
10 Mar 2019
Deep Learning Based Phase Reconstruction for Speaker Separation: A
  Trigonometric Perspective
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
Zhong-Qiu Wang
Ke Tan
DeLiang Wang
52
95
0
22 Nov 2018
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