Is CQT more suitable for monaural speech separation than STFT? an
empirical study

Is CQT more suitable for monaural speech separation than STFT? an empirical study

2 February 2019

Ziqiang Shi

ArXiv (abs)PDF HTML

Papers citing "Is CQT more suitable for monaural speech separation than STFT? an empirical study"

5 / 5 papers shown

Title
TasNet: time-domain audio separation network for real-time, single-channel speech separation Yi Luo N. Mesgarani 73 629 0 01 Nov 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 57 725 0 18 Mar 2017
Single-Channel Multi-Speaker Separation using Deep Clustering Y. Isik Jonathan Le Roux Zhuo Chen Shinji Watanabe J. Hershey 65 430 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 98 858 0 01 Jul 2016
Deep clustering: Discriminative embeddings for segmentation and separation J. Hershey Zhuo Chen Jonathan Le Roux Shinji Watanabe 62 1,317 0 18 Aug 2015