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Trainable Adaptive Window Switching for Speech Enhancement
v1v2v3v4 (latest)

Trainable Adaptive Window Switching for Speech Enhancement

5 November 2018
Yuma Koizumi
Noboru Harada
Y. Haneda
ArXiv (abs)PDFHTML

Papers citing "Trainable Adaptive Window Switching for Speech Enhancement"

4 / 4 papers shown
DPSNN: Spiking Neural Network for Low-Latency Streaming Speech
  Enhancement
DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement
Tao Sun
Sander Bohté
231
9
0
14 Aug 2024
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World
  Soundtracks
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks
Darius Petermann
Gordon Wichern
Zhong-Qiu Wang
Jonathan Le Roux
250
53
0
19 Oct 2021
Real-time speech enhancement using equilibriated RNN
Real-time speech enhancement using equilibriated RNNIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
153
44
0
14 Feb 2020
Invertible DNN-based nonlinear time-frequency transform for speech
  enhancement
Invertible DNN-based nonlinear time-frequency transform for speech enhancementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
382
10
0
25 Nov 2019
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