Abstract | ||
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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. |
Year | DOI | Venue |
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2003 | 10.1109/ISSPA.2003.1224719 | ISSPA (1) |
Keywords | Field | DocType |
speech signal decomposition,phase characteristic,audio coding,wavelet transforms,multiresolution sinusoidal model,fundamental frequency modification,synthetic speech quality,spectral analysis,transform coding,cochannel separation,speech analysis,speech synthesis,time-scale modification,spectral characteristic,frequency-scale modification,sinusoidal component estimation,speech coding,wavelet transform,signal resolution,window analysis,window length,overlap-add sinusoidal model,speech enhancement,multiresolution analysis-by-synthesis,wavelet analysis,fundamental frequency,multiresolution analysis | Speech enhancement,Speech synthesis,Fundamental frequency,Speech coding,Pattern recognition,Computer science,Transform coding,Artificial intelligence,Sinusoidal model,Wavelet transform,Wavelet | Conference |
Volume | ISBN | Citations |
1 | 0-7803-7946-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
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Ki-Hong Kim | 1 | 61 | 14.23 |
In-Ho Hwang | 2 | 6 | 2.23 |