Tune-In: Training Under Negative Environments with Interference for
Attention Networks Simulating Cocktail Party Effect

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect

2 March 2021

Papers citing "Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect"

10 / 10 papers shown

Title
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss Ziqiang Shi Rujie Liu Jiqing Han 24 7 0 06 Aug 2020
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 71 283 0 28 Jul 2020
Asteroid: the PyTorch-based audio source separation toolkit for researchers Manuel Pariente Samuele Cornell Joris Cosentino S. Sivasankaran Efthymios Tzinis ... Juan M. Martín-Donas David Ditter Ariel Frank Antoine Deleforge Emmanuel Vincent 51 155 0 08 May 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering Neil Zeghidour David Grangier VLM 65 263 0 20 Feb 2020
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention Yuma Koizumi Kohei Yatabe Marc Delcroix Yoshiki Masuyama Daiki Takeuchi 28 125 0 14 Feb 2020
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation Yi Luo Zhuo Chen Takuya Yoshioka AI4TS 59 767 0 14 Oct 2019
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking Quan Wang Hannah Muckenhirn K. Wilson Prashant Sridhar Zelin Wu J. Hershey Rif A. Saurous Ron J. Weiss Ye Jia Ignacio López Moreno 36 369 0 11 Oct 2018
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 118 1,772 0 20 Sep 2018
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures Jun Wang Jie Chen Dan Su Lianwu Chen Meng Yu Y. Qian Dong Yu 62 90 0 24 Jul 2018
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 239 10,412 0 21 Jul 2016