Automatic Identification for Singing Style based on Sung Melodic Contour Characterized in Phase Plane
نویسندگان
چکیده
A stochastic representation of singing styles is proposed. The dynamic property of melodic contour, i.e., fundamental frequency (F0) sequence, is assumed to be the main cue for singing styles because it can characterize such typical ornamentations as vibrato . F0 signal trajectories in the phase plane are used as the basic representation. By fitting Gaussian mixture models to the observed F0 trajectories in the phase plane, a parametric representation is obtained by a set of GMM parameters. The effectiveness of our proposed method is confirmed through experimental evaluation where 94.1% accuracy for singer-class discrimination was obtained.
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