Title :
Analysis of Music Representations of Vocal Performance Based on Spectrogram
Author :
Chen, Qing ; Ai, Lihua ; Wei, Weiying ; Ma, Wenjun ; Xie, Peipei ; Zhang, Ming
Author_Institution :
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
Spectrogram is a main analysis method of audio signals and other similar quasi - stationary ones and produces a time-frequency portrait of a signal. This paper researches correspondence between important time-frequency structures and music representations of vocal performance, aiming at providing quantitative analysis and objective information description of the subjective perception of specific voice techniques. Experiments and vocal music examples reveal and indicate that spectrogram is a powerful tool for aiding the study, comprehension, and interpretation of musical expression.
Keywords :
audio signal processing; fast Fourier transforms; music; spectral analysis; audio signal; fast Fourier transform; music representation; musical expression; signal time-frequency portrait; spectrogram; time-frequency structure; vocal music; vocal performance; voice technique; Fourier transforms; Harmonic analysis; Multiple signal classification; Music; Spectrogram; Time frequency analysis;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600580