Title :
Postprocessing method for suppressing musical noise generated by spectral subtraction
Author :
Goh, Zenton ; Kah-Chye Tan ; Tan, Kah-Chye
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
5/1/1998 12:00:00 AM
Abstract :
We investigate whether musical noise, which often exists in speech enhanced using spectral subtraction, can be suppressed. Via exploiting some specific characteristics of human speech, we propose a method that can effectively suppress musical noise without a noticeable effect on speech intelligibility. Performance assessments confirm that our method is effective
Keywords :
music; noise; spectral analysis; speech enhancement; speech intelligibility; human speech characteristics; musical noise supression; performance assessments; postprocessing method; spectral subtraction; speech enhancement; speech intelligibility; Additive noise; Background noise; Degradation; Gaussian noise; Humans; Noise generators; Signal to noise ratio; Spectrogram; Speech enhancement; Testing;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on