DocumentCode :
2474423
Title :
A real-time accompaniment system based on sung voice recognition
Author :
Luo, Li ; Lu, Peng-Fei ; Wang, Zeng-Fu
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a real-time accompaniment system for the sung voice. A sung voice recognition algorithm has been developed to extract the score info concerning with a performance from the inputted signals captured by a microphone. The algorithm can effectively detect pitches of the sung voice and give a proper score segmentation result from the mixture of both sung voice and accompaniment by analyzing the spectrum peaks of the inputted signals. The experimental results show that the accompaniment system developed can produce a real-time accompaniment with good effect for the sung voice.
Keywords :
real-time systems; spectral analysis; speech recognition; microphone; pitch detection; real-time accompaniment system; score segmentation; spectrum peak analysis; sung voice recognition algorithm; Cepstral analysis; Face detection; Fourier transforms; Frequency domain analysis; Harmonic analysis; Humans; Microphones; Multiple signal classification; Real time systems; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761071
Filename :
4761071
Link To Document :
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