TY - GEN
T1 - Automated evaluation of singers' vibrato through time and frequency analysis of the pitch contour using the DSK6713
AU - Amir, Noam
AU - Erlich, Tom
AU - Grabstein, Nitzan
AU - Fainguelernt, Jacob
PY - 2009
Y1 - 2009
N2 - Vibrato is a musical effect produced in singing and in playing of musical instruments, serving to enrich the musical sound. It is defined as a periodic change of the fundamental frequency (the perceptual correlate, "pitch", is often used interchangeably), and is used to add expression and vocal-like qualities to instrumental music. Empirically, vibrato commonly has a periodicity of 4-8 Hz. Attaining good vibrato in the singing voice requires prolonged training by professional singing coaches. Moreover, while prominent singers' vibrato is easily distinguishable, this is not the case for beginners. Indeed, the main algorithmic challenge in evaluating singing qualities regards the fact that judging vibrato quality and even presence is rather subjective, and depends to some extent on the listener. This paper presents a tool to analyze the vibrato of singing students, assisting singing practice and self study. Experimentalresultsandareal-timeDSP based implementation of the algorithm will be presented.
AB - Vibrato is a musical effect produced in singing and in playing of musical instruments, serving to enrich the musical sound. It is defined as a periodic change of the fundamental frequency (the perceptual correlate, "pitch", is often used interchangeably), and is used to add expression and vocal-like qualities to instrumental music. Empirically, vibrato commonly has a periodicity of 4-8 Hz. Attaining good vibrato in the singing voice requires prolonged training by professional singing coaches. Moreover, while prominent singers' vibrato is easily distinguishable, this is not the case for beginners. Indeed, the main algorithmic challenge in evaluating singing qualities regards the fact that judging vibrato quality and even presence is rather subjective, and depends to some extent on the listener. This paper presents a tool to analyze the vibrato of singing students, assisting singing practice and self study. Experimentalresultsandareal-timeDSP based implementation of the algorithm will be presented.
KW - Music
KW - Pattern analysis
KW - Real-time
KW - Signal processing
UR - http://www.scopus.com/inward/record.url?scp=70449597665&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2009.5201121
DO - 10.1109/ICDSP.2009.5201121
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AN - SCOPUS:70449597665
SN - 9781424432981
T3 - DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings
BT - DSP 2009:16th International Conference on Digital Signal Processing, Proceedings
T2 - DSP 2009:16th International Conference on Digital Signal Processing
Y2 - 5 July 2009 through 7 July 2009
ER -