Papers

딥러닝 기반 종단 간 다채널 음질 개선 알고리즘

Domestic Conference
2016~2020
작성자
이지현
작성일
2020-08-01 21:52
조회
499
Authors : 이성현, 강홍구

Year : 2020

Publisher / Conference : 전자공학회 하계학술대회

Page : 968-970

In this paper, we propose a deep learning-based multi-channel speech enhancement algorithm. The proposed system consists of three sub-modules such as magnitude estimation, phase estimation, and spatial filtering modules. To minimize the distortion between the target speech and enhanced signal waveform, we adopt an end-to-end modeling architecture that considers time-domain reconstruction loss, magnitude and phase spectrum loss, and spatial information between microphones. The experimental results show that the proposed model shows much better performance than conventional algorithm in terms of noise reduction, intelligibility and speech quality.

삼성 전기 논문상 수상작
전체 326
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