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Incremental Binarization On Recurrent Neural Networks For Single-Channel
  Source Separation

Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation

23 August 2019
Sunwoo Kim
Mrinmoy Maity
Minje Kim
    MQ
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Papers citing "Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation"

4 / 4 papers shown
Title
Sound Event Detection with Adaptive Frequency Selection
Sound Event Detection with Adaptive Frequency Selection
Zhepei Wang
Jonah Casebeer
Adam Clemmitt
Efthymios Tzinis
Paris Smaragdis
27
2
0
17 May 2021
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection
  Robust to Real-World Scenarios
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios
E. Hardy
F. Badets
30
3
0
08 Mar 2021
Group Communication with Context Codec for Lightweight Source Separation
Group Communication with Context Codec for Lightweight Source Separation
Yi Luo
Cong Han
N. Mesgarani
28
20
0
14 Dec 2020
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
Igor Fedorov
Marko Stamenovic
Carl R. Jensen
Li-Chia Yang
Ari Mandell
Yiming Gan
Matthew Mattina
P. Whatmough
16
96
0
20 May 2020
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