Customizable End-To-End Optimization Of Online Neural Network-Supported Dereverberation For Hearing Devices-Reference-Cited by-同舟云学术

Customizable End-To-End Optimization Of Online Neural Network-Supported Dereverberation For Hearing Devices

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Lemercier Jean-Marie¹,Thiemann Joachim²,Koning Raphael²,Gerkmann Timo¹

Affiliation:

1. Universität Hamburg,Signal Processing (SP),Germany

2. Advanced Bionics,Hanover,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746235.pdf?arnumber=9746235

Reference29 articles.

1. Multi-Channel Linear Prediction-Based Speech Dereverberation With Sparse Priors

2. Effects of spatial and temporal integration of a single early reflection on speech intelligibility;warzybok;The Journal of the Acoustical Society OfAmerica,2003

3. On the importance of early reflections for speech in rooms

4. Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization

5. Joint Separation and Dereverberation of Reverberant Mixtures with Determined Multichannel Non-Negative Matrix Factorization

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3. A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices;EURASIP Journal on Audio, Speech, and Music Processing;2023-05-01

4. DNN-free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF;2022 International Workshop on Acoustic Signal Enhancement (IWAENC);2022-09-05