Noise Reduction in Whisper Speech Based On the Auditory Masking Model
This paper presents the issue of whispered speech enhancement. Based on multi-band spectral subtraction method where the introduced musical residual noise occurs, the proposed approach performs parametric subtraction according to the WSS (Whispered Sensitive Scale) method that is particular for whispered speech processing and auditory masking model. The algorithm is characterized by a tradeoff mechanism between the amount of the whispered speech distortion, noise reduction, and the level of musical residual noise, which are determined by appropriate adjusting the subtraction parameters. Compared with traditional subtractive-type algorithms, the proposed method results in a significant reduction of musical residual noise. Finally, objective and subjective evaluations are implemented illustrating the improvements over traditional subtractive -type algorithms.
whispered speech properties subtractive-type algorithms muskal residual noise Whispered Sensitive Scale auditory masking
Zhi Tao He-Ming Zhao Xiao-Jun Zhang Wlodek Kulesza
Dept.of Phys.Sci.and Tech.Key Joint Laboratory of JieMei Biomedical Engineering Soochow University S Dept.of Electron Soochow University SuZhou, China School of Engineering Blekinge Institute of Technology Sweden
国际会议
昆明
英文
272-277
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）