DocumentCode :
3164040
Title :
Template-based personalized singing voice synthesis
Author :
Cen, Ling ; Dong, Minghui ; Chan, Paul
Author_Institution :
Inst. for Infocomm Res. (I2R), A*STAR, Singapore, Singapore
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
4509
Lastpage :
4512
Abstract :
In this paper, a template-based personalized singing voice synthesis method is proposed. It generates singing voices by means of conversion from the narrated lyrics of a song with the use of template recordings. The template voices are parallel speaking and singing voices recorded from professional singers, which are used to derive the transformation models for acoustic feature conversion. When converting a new instance of speech, its acoustic features are modified to approximate those of the actual singing voice based on the transformation models. Since the pitch contour of the synthesized singing is derived from an actual singing voice, it is more natural than modifying a step contour to implement pitch fluctuations such as overshoot and vibrato. It has been shown from the subjective tests that nearly natural singing quality with the preservation of the timbre can be achieved with the help of our method.
Keywords :
acoustic signal processing; speech synthesis; acoustic feature conversion; acoustic features; natural singing quality; parallel speaking; pitch contour; pitch fluctuations; professional singers; singing voices; song narrated lyrics; synthesized singing; template recordings; template voices; template-based personalized singing voice synthesis; timbre preservation; transformation models; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Timbre; Singing voice synthesis; alignment; music score; pitch; spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288920
Filename :
6288920
Link To Document :
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