title: Acoustical comparison between samples of good and poor vibrato in singers.
abstract: The purpose of this research was to analyze samples of frequency vibrato taken from recordings of eight different singers, which were classified as examples of good or poor singing. The samples were analyzed by a software package, which makes use of the linear prediction coding (LPC) method to determine the time varying rate and extent of the frequency vibrato wave. Four parameters, which relate to the periodicity of the samples, were extracted from the time varying rate and extent and investigated in order to verify or reject the hypothesis that the best vibrato samples were the most symmetric ones. Ten samples per singer were analyzed, 5 good and 5 poor, for a total of 80 samples. The results show that the samples judged as good were the most periodic ones.
authors.affiliation: Department of Electrical Engineering, University of Carabobo, Venezuela. jadiaz@thor.uc.edu.ve
authors.forename: Jose A
authors.initials: JA
authors.lastname: Diaz
authors.forename: Howard B
authors.initials: HB
authors.lastname: Rothman
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D013018:Sound Spectrography; D013061:Speech Acoustics; D013997:Time Factors; D014833:Voice Quality; D014834:Voice Training