Objective analysis of the singing voice as a training aid.
A new tool for robust tracking of fundamental frequency is proposed, along with an objective measure of main singing voice parameters, such as vibrato rate, vibrato extent, and vocal intonation. High-resolution Power Spectral Density estimation is implemented, based on AutoRegressive models of suitable order, allowing reliable formant tracking also in vocalizations characterized by highly varying values. The proposed techniques are applied to about 1000 vocalizations, coming from both professional and non-professional singers, and show better performance as compared to classical Fourier-based approaches. If properly implemented, and with a user-friendly interface, the new tool would allow real-time analysis of singing voice. Hence, it could be of help in giving non-professional singers and singing teachers reliable measures of possible improvements during and after training.
Sangiorgi
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Dept. of Physics, Università degli Studi di Firenze and Istituto Nazionale per la Fisica della Materia, Firenze, Italy.
Manfredi
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Bruscaglioni
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D000162:Acoustics; D001307:Auditory Perception / Q000502:physiology*; D005583:Fourier Analysis; D006801:Humans; D008954:Models, Biological; D009146:Music; D010699:Phonation / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D014831:Voice / Q000502:physiology*