Sound Source Separation Using Latent Variational Block-Wise Disentanglement

8 February 2024

Papers citing "Sound Source Separation Using Latent Variational Block-Wise Disentanglement"

10 / 10 papers shown

Title
Attention is All You Need in Speech Separation Cem Subakan Mirco Ravanelli Samuele Cornell Mirko Bronzi Jianyuan Zhong 97 562 0 25 Oct 2020
Memformer: A Memory-Augmented Transformer for Sequence Modeling Qingyang Wu Zhenzhong Lan Kun Qian Jing Gu A. Geramifard Zhou Yu 51 49 0 14 Oct 2020
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation Efthymios Tzinis Zhepei Wang Paris Smaragdis 89 130 0 14 Jul 2020
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation Yi Luo Zhuo Chen Takuya Yoshioka AI4TS 86 775 0 14 Oct 2019
Video Representation Learning by Dense Predictive Coding Tengda Han Weidi Xie Andrew Zisserman SSL 98 361 0 10 Sep 2019
A variance modeling framework based on variational autoencoders for speech enhancement Simon Leglaive Laurent Girin Radu Horaud DRL 49 91 0 05 Feb 2019
SDR - half-baked or well done? F. Sánchez-Martínez M. Esplà-Gomis Hakan Erdogan J. Hershey 153 1,204 0 06 Nov 2018
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 162 1,795 0 20 Sep 2018
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization Yoshiaki Bando Masato Mimura Katsutoshi Itoyama Kazuyoshi Yoshii Tatsuya Kawahara 69 120 0 31 Oct 2017
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 91 2,742 0 20 Jun 2014