Cepstral Smoothing of Masks for Single-channel Speech Segregation

摘要：

In this paper, cepstral smoothing is introduced to reduce musical noise in speech separated using computational auditory scene analysis (CASA). Our post-processing algorithm is composed of three steps. First, speech and interference are separated from noisy speech. Next, binary masks in the time-frequency domain are obtained using separated speech and noise signals. Finally, a mask smoothing algorithm which preserves speech onsets and quasistationary narrow-band structures is used to eliminate excessive peaks in time-frequency domain that lead to musical noise. Using an objective speech quality measure, we show that proposed method can improve speech quality.

关键词： computational auditory scene analysis(CASA) speech segregation, post processing, cepstral smoothing, speech enhancement

作者: Hu Qi Liang Mangui Liao Niandong

作者单位: Institute of information science, Beijing Jiaotong University, Beijing, China College of Computer and Communication Engineering, Changsha University of Science&Technology, Changs

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 510-513

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）