End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement
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Title
End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement
Authors
Keywords
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Journal
SENSORS
Volume 22, Issue 20, Pages 7782
Publisher
MDPI AG
Online
2022-10-14
DOI
10.3390/s22207782
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- (2018) Szu-Wei Fu et al. IEEE-ACM Transactions on Audio Speech and Language Processing
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- Long short-term memory for speaker generalization in supervised speech separation
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- Low-Rank and Sparsity Analysis Applied to Speech Enhancement Via Online Estimated Dictionary
- (2016) Pengfei Sun et al. IEEE SIGNAL PROCESSING LETTERS
- A Regression Approach to Speech Enhancement Based on Deep Neural Networks
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- Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification
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- An Experimental Study on Speech Enhancement Based on Deep Neural Networks
- (2013) Yong Xu et al. IEEE SIGNAL PROCESSING LETTERS
- Evaluation of Objective Quality Measures for Speech Enhancement
- (2007) Yi Hu et al. IEEE Transactions on Audio Speech and Language Processing
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