DocumentCode :
396846
Title :
A multiresolution ABS/OLA sinusoidal model using wavelet transform
Author :
Kim, Ki-Hong ; Hwang, In-Ho
Author_Institution :
Nat. Security Res. Inst., Daejeon, South Korea
Volume :
1
fYear :
2003
fDate :
1-4 July 2003
Firstpage :
377
Abstract :
The sinusoidal model has been applied to a broad range of speech and audio coding, such as analysis/synthesis, time-and frequency-scale modification, fundamental frequency modification, speech enhancement, and co-channel separation. In this paper, we propose a multiresolution analysis-by-synthesis/overlap-add (ABS/OLA) sinusoidal model using a wavelet transform. In the proposed scheme, after decomposing an input speech signal into multiresolution subband signals using the wavelet transform, classical ABS/OLA sinusoidal models with different window lengths are applied to each subband signals respectively. It is shown that by applying a proper-sized analysis window, much more accurate sinusoidal components can be estimated. Experimental results have shown that the proposed multiresolution ABS/OLA sinusoidal model can achieve better performance than that of the classical ABS/OLA sinusoidal model in terms of the spectral characteristics, phase characteristics, and the quality of synthetic speech.
Keywords :
audio coding; signal resolution; spectral analysis; speech coding; speech synthesis; transform coding; wavelet transforms; audio coding; cochannel separation; frequency-scale modification; fundamental frequency modification; multiresolution analysis-by-synthesis; multiresolution sinusoidal model; overlap-add sinusoidal model; phase characteristic; sinusoidal component estimation; spectral characteristic; speech analysis; speech coding; speech enhancement; speech signal decomposition; speech synthesis; synthetic speech quality; time-scale modification; wavelet transform; window analysis; window length; Audio coding; Frequency synthesizers; Signal resolution; Signal synthesis; Speech analysis; Speech coding; Speech enhancement; Speech synthesis; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
Type :
conf
DOI :
10.1109/ISSPA.2003.1224719
Filename :
1224719
Link To Document :
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