Noise perturbation for supervised speech separation-Reference-Cited by-同舟云学术

Noise perturbation for supervised speech separation

Published:2016-04 Issue: Volume:78 Page:1-10
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Chen Jitong,Wang Yuxuan,Wang DeLiang

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference35 articles.

1. Perceptual learning for speech in noise after application of binary time-frequency masks;Ahmadi;J. Acoust. Soc. Am.,2013

2. Auditory Scene Analysis: The Perceptual Organization of Sound;Bregman,1990

3. Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation;Brungart;J. Acoust. Soc. Am.,2006

4. Noise perturbation improves supervised speech separation;Chen,2015

5. Multi-column deep neural networks for image classification;Ciresan,2012

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

2. Text-Informed Knowledge Distillation for Robust Speech Enhancement and Recognition;2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP);2022-12-11

3. NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling;Interspeech 2022;2022-09-18

4. Research on improved DNN and MultiResU_Net network speech enhancement effect;Multimedia Tools and Applications;2022-03-26

5. Ideal ratio mask estimation using supervised DNN approach for target speech signal enhancement;Journal of Intelligent & Fuzzy Systems;2022-02-02