DocumentCode :
538531
Title :
Speech synthesis based on PSOLA algorithm and modified pitch parameters
Author :
Wang Yuan-Yuan ; Yang Shun
Author_Institution :
Liaoning Tech. Univ., Huludao, China
fYear :
2010
fDate :
3-5 Dec. 2010
Firstpage :
296
Lastpage :
299
Abstract :
Combined the prosodic features of Chinese speech, pitch is extracted accurately with autocorrelation function and three-level clipping technique based on PSOLA algorithm. The complexity of the algorithm is effectively reduced. Using the advantages of TD-PSOLA algorithm, the scale factors of pitch periods are analyzed and adjusted, after modifying the time length and fundamental frequency. Finally the shaking of sound is eliminated, and the synthesized speech is more clearly. The experiment shows that the synthesized speech has a high quality and a strong value through using this method.
Keywords :
speech synthesis; Chinese speech; PSOLA algorithm; modified pitch parameters; pitch periods; scale factors; speech synthesis; Correlation; Equations; Speech; Speech synthesis; Splicing; Time frequency analysis; Autocorrelation Function; PSOLA; Pitch Period; Speech Synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Problem-Solving (ICCP), 2010 International Conference on
Conference_Location :
Lijiang
Print_ISBN :
978-1-4244-8654-0
Type :
conf
Filename :
5696057
Link To Document :
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