DocumentCode :
3317206
Title :
Sinusoidal + all-pole modification based spectral smoothing for concatenative speech synthesis
Author :
Kang, Heng ; Liu, Wenju
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
fYear :
2005
fDate :
30 Oct.-1 Nov. 2005
Firstpage :
194
Lastpage :
198
Abstract :
The conventional LPC spectral smoothing algorithm causes an evident degradation in the speech quality when the smoothing amount is large. To improve speech quality of the smoothed speech, we proposed a new spectral smoothing algorithm. The source LPC spectral envelopes are first interpolated to generate the smoothed target spectra. Then the sinusoidal + all-pole modification is performed on the source speech to get the spectra of the modified speech which will coincide with the target spectra. Experimental results show that this method can get smooth spectral envelope even if the speech boundaries have large spectral distance. Experimental results prove that this algorithm is effective on avoiding degradation in quality of smoothed speech.
Keywords :
linear predictive coding; smoothing methods; spectral analysis; speech processing; speech synthesis; LPC spectral smoothing algorithm; concatenative speech synthesis; sinusoidal + all-pole modification; smoothed speech quality; smoothed target speech spectra; spectral speech envelope; Degradation; Frequency; Laboratories; Linear predictive coding; Pattern recognition; Piecewise linear techniques; Signal synthesis; Smoothing methods; Speech analysis; Speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
Type :
conf
DOI :
10.1109/NLPKE.2005.1598733
Filename :
1598733
Link To Document :
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