Noise perturbation for supervised speech separation

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

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1. A Separation Priority Pipeline for Single-Channel Speech Separation in Noisy Environments;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. 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

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

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

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

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