Abstract
Timbre and vibrato describe the vocal characteristics of the singer, but with different attributes. Timbre describes the spectral characteristics which depend on shape and size of the vocal cavities. Vibrato is the periodic variations of the pitch, where pitch is associated with vibration of vocal folds. Singers can be defined uniquely using the combination of these acoustic features. Considering this, the paper presents a technique of identifying the singers based on fusion of timbre and vibrato features. We start with discussion on selection of appropriate spectral timbre feature suitable for singer identification (SID). An accuracy of 80.5% is achieved in identifying the singers using a cappella database of 23 singers. The proposed SID system is robust to variations in the singing style of singer called as ‘Album effect’. Performance comparison of the proposed system with other SID approaches validates the superiority of the proposed work.
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Loni, D.Y., Subbaraman, S. (2019). Timbre-Vibrato Model for Singer Identification. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-13-1747-7_27
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DOI: https://doi.org/10.1007/978-981-13-1747-7_27
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