A joint-loss approach for speech enhancement via single-channel neural network and MVDR beamformer

Recent developments of noise reduction involves the use of neural beamforming. While some success is achieved, these algorithms rely solely on the gain of the beamformer to enhance the noisy signals. We propose a framework that comprises two stages where the first-stage neural network aims to achiev...

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Bibliographic Details
Main Authors: Tan, Zhi-Wei, Nguyen, Anh Hai Trieu, Tran, Linh T. T., Khong, Andy Wai Hoong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146260
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Institution: Nanyang Technological University
Language: English

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