Probabilistic Permutation Invariant Training for Speech Separation

4 August 2019

Papers citing "Probabilistic Permutation Invariant Training for Speech Separation"

11 / 11 papers shown

Title
Jointly Aligning and Predicting Continuous Emotion Annotations S. Khorram M. McInnis E. Provost 23 18 0 05 Jul 2019
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients Nursadul Mamun S. Khorram John H. L. Hansen 32 31 0 03 Jul 2019
Progressive Neural Networks for Transfer Learning in Emotion Recognition John Gideon S. Khorram Zakaria Aldeneh Dimitrios Dimitriadis E. Provost 41 116 0 10 Jun 2017
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks Morten Kolbaek Dong Yu Zheng-Hua Tan Jesper Jensen 57 726 0 18 Mar 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 172 627 0 05 Mar 2017
Deep attractor network for single-microphone speaker separation Zhuo Chen Yi Luo N. Mesgarani 80 408 0 27 Nov 2016
Single-Channel Multi-Speaker Separation using Deep Clustering Y. Isik Jonathan Le Roux Zhuo Chen Shinji Watanabe J. Hershey 67 432 0 07 Jul 2016
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation Dong Yu Morten Kolbæk Zheng-Hua Tan Jesper Jensen 103 859 0 01 Jul 2016
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses S. Van Eyndhoven T. Francart Alexander Bertrand 32 114 0 18 Feb 2016
Deep clustering: Discriminative embeddings for segmentation and separation J. Hershey Zhuo Chen Jonathan Le Roux Shinji Watanabe 64 1,321 0 18 Aug 2015
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation Po-Sen Huang Minje Kim M. Hasegawa-Johnson Paris Smaragdis 51 448 0 13 Feb 2015