DocumentCode
476221
Title
A corpus-based concatenative Mandarin singing voice synthesis system
Author
Zhou, Shu-sen ; Chen, Qing-cai ; Wang, Dan-dan ; Yang, Xiao-hong
Author_Institution
Shenzhen Grad. Sch., Harbin Inst. of Technol., Harbin
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
2695
Lastpage
2699
Abstract
A Mandarin singing voice synthesis (SVS) system is proposed in this paper. It generates a Mandarin song of an artificial singer based on the lyric and the music score information embedded in a MIDI file of the song. To get good quality of the song, two modules are presented, i.e., the synthesis unit selection module and the prosody and amplitude modification module. In the synthesis unit selection module, the corpus that complies with the lyric and closest to the music score information is selected. Then, an adaptive filter based prosody and amplitude modification algorithms are employed on the selected synthesis units. Through the proposed method, the system can synthesis any Mandarin singing voice on-the-fly by providing it the corpus of all syllables for male and female respectively. To increase the efficiency of the system, a preprocessing is also taken on the corpus. Finally, a subjective evaluation based on MOS is taken on the system and the synthesized sounds show good quality.
Keywords
adaptive filters; music; natural language processing; speech synthesis; MIDI file; Mandarin singing voice synthesis system; Mandarin song; adaptive filter; amplitude modification; artificial singer; lyrics; music score; prosody modification; synthesis unit selection; Adaptive filters; Algorithm design and analysis; Application software; Cybernetics; Databases; Electronic mail; Frequency; Machine learning; Production; Resonance; Amplitude modification; Prosody modification; Singing voice synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620864
Filename
4620864
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