DCT Speech Enhancement Based on Masking Properties of Human Auditory System
In this paper, we present an algorithm of DCT speech enhancement based on the masking properties of human auditory system. The aim is to keep residual noise below the noise masking threshold of clean speech signal and to make less speech distortion. The experimental results show a satisfied performance of the proposed algorithm. Furthermore, the proposed algorithm is very promising, in that it is more efficiently computable and easier implemented on DSP than existed algorithms for real-time applications.
speech enhancement discrete cosine transform (DCT) masking properties of human auditory system
Li Yang Li Shuangtian
Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
450-453
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)