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Data-driven design of perfect reconstruction filterbank for DNN-based
  sound source enhancement

Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
21 March 2019
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
ArXiv (abs)PDFHTML

Papers citing "Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement"

5 / 5 papers shown
Sampling-Frequency-Independent Audio Source Separation Using Convolution
  Layer Based on Impulse Invariant Method
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant MethodEuropean Signal Processing Conference (EUSIPCO), 2021
Koichi Saito
Tomohiko Nakamura
Kohei Yatabe
Yuma Koizumi
Hiroshi Saruwatari
BDLVLM
154
8
0
10 May 2021
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
Speech Enhancement using Self-Adaptation and Multi-Head Self-AttentionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Yuma Koizumi
Kohei Yatabe
Marc Delcroix
Yoshiki Masuyama
Daiki Takeuchi
119
132
0
14 Feb 2020
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
117
41
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
287
10
0
25 Nov 2019
Trainable Adaptive Window Switching for Speech Enhancement
Trainable Adaptive Window Switching for Speech Enhancement
Yuma Koizumi
Noboru Harada
Y. Haneda
370
8
0
05 Nov 2018
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