Title :
Noise removing for time-variant vocal signal by generalized modulation
Author :
Jian-Jiun Ding ; Ching-Hua Lee
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
Oct. 29 2013-Nov. 1 2013
Abstract :
Since the instantaneous frequencies of vocal signals always vary with time, it is inconvenient to use the conventional filter to remove the noise of vocal signals. In this paper, we propose a method that uses the generalized modulation to reshape and minimize the areas of the spectrograms of vocal signals. Instead of multiplying an exponential function with the first order phase, the generalized modulation is to multiply an exponential function whose phase is a higher order polynomial. With the proposed noise-removing algorithm based on generalized modulation, the signal part and the noise part of a vocal signal can be well separated and the effect of noise can be significantly reduced.
Keywords :
modulation; polynomials; signal denoising; speech processing; time-frequency analysis; exponential function; first order phase; generalized modulation; higher order polynomial; instantaneous frequencies; noise-removing algorithm; spectrogram area minimization; time-frequency analysis; time-variant vocal signal; Bandwidth; Frequency modulation; Noise; Noise measurement; Polynomials; Time-frequency analysis;
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
DOI :
10.1109/APSIPA.2013.6694168