Noise variance estimation based on dual-channel phase difference for speech enhancement
详细信息 查看全文
- 作者：Seon Man Kim ; Hong Kook Kim
- 关键词：Dual-microphone speech enhancement ; Signal-to-noise ratio (SNR) ; Direction-of-arrival based SNR estimation ; Noise variance estimation ; Phase difference
- 刊名：Digital Signal Processing
- 出版年：March, 2014
- 年：2014
- 卷：26
- 期：Complete
- 页码：169-182
- 全文大小：1728 K
文摘
In this paper, we propose a method for estimating a signal-to-noise ratio (SNR) in order to improve the performance of a dual-microphone speech enhancement algorithm. The proposed method is able to reliably estimate both a priori and a posteriori SNRs by exploring a direction-of-arrival (DOA)-based local SNR that is defined by using spatial cues obtained from dual-microphone signals. The estimated a priori and a posteriori SNRs are then incorporated into a Wiener filter. Consequently, it is shown from an objective perceptual evaluation of speech quality (PESQ) comparison and a subjective listening test that a speech enhancement algorithm employing the proposed SNR estimate outperforms those using conventional single- or dual-microphone speech enhancement algorithms such as the Wiener filter, beamformer, or phase error-based filter under different noise conditions ranging from 0 to 20 dB.