Dataset Information

Acoustic voice variation within and between speakers.

ABSTRACT: Little is known about the nature or extent of everyday variability in voice quality. This paper describes a series of principal component analyses to explore within- and between-talker acoustic variation and the extent to which they conform to expectations derived from current models of voice perception. Based on studies of faces and cognitive models of speaker recognition, the authors hypothesized that a few measures would be important across speakers, but that much of within-speaker variability would be idiosyncratic. Analyses used multiple sentence productions from 50 female and 50 male speakers of English, recorded over three days. Twenty-six acoustic variables from a psychoacoustic model of voice quality were measured every 5?ms on vowels and approximants. Across speakers the balance between higher harmonic amplitudes and inharmonic energy in the voice accounted for the most variance (females?=?20%, males?=?22%). Formant frequencies and their variability accounted for an additional 12% of variance across speakers. Remaining variance appeared largely idiosyncratic, suggesting that the speaker-specific voice space is different for different people. Results further showed that voice spaces for individuals and for the population of talkers have very similar acoustic structures. Implications for prototype models of voice perception and recognition are discussed.

SUBMITTER: Lee Y

PROVIDER: S-EPMC6909978 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Acoustic voice variation within and between speakers.

Lee Yoonjeong Y Keating Patricia P Kreiman Jody J

The Journal of the Acoustical Society of America 20190901 3

Little is known about the nature or extent of everyday variability in voice quality. This paper describes a series of principal component analyses to explore within- and between-talker acoustic variation and the extent to which they conform to expectations derived from current models of voice perception. Based on studies of faces and cognitive models of speaker recognition, the authors hypothesized that a few measures would be important across speakers, but that much of within-speaker variabilit ...[more]

PMID: 31590565

Similar Datasets

Project description:This study investigates self-perceptions of voice-related handicap as a function of facemask use in the general working population during the COVID19 outbreak, using the Voice Handicap Index (VHI). Each VHI item was answered twice in a row; the first answer referred to the condition of not wearing a facemask (henceforth, the Without condition) and the second to the condition of using a facemask (henceforth, the With condition). VHI scores were collected via Google Forms (Google, Mountain View, California), targeting 2 groups of speakers of different nationalities, Portuguese (n = 261) and Spanish (n = 297). A Wilcoxon test was carried out to compare VHI scores between With and Without conditions for each group of speakers; a Mann-Whitney U test was used to compare groups within each condition. Results suggested that VHI overall scores and scores for all dimensions were higher for the With condition, for both Portuguese and Spanish speakers. When comparing groups of speakers, Spanish speakers presented higher scores for functional and emotional dimensions, for both With and Without conditions. In addition, the overall score for the Without condition was higher for Spanish speakers. No differences between groups were found for the total VHI score for the With condition. When comparing overall VHIdiff between speakers, that is, the difference in the VHI total score between With and Without conditions, no significant differences could be found. Thus, a multiple regression analysis was carried out between the VHIdiff and the independent variables of interest: age, sex, smoking habits, professional occupation, nationality, facemask type and its hours of use. The resulting model providing the highest association suggested that 2.5% of the variation in overall VHIdiff total score could be associated with sex, smoking habits, and professional level. Female smokers who use their voices during prolonged hours at work (e.g., teachers, lawyers, sales people) presented a higher VHI total score when wearing a mask. Future voice-related health interventions should address preventive strategies towards speaking behaviors leading to vocal fatigue and vocal effort as a consequence of compulsory facemask use, especially with respect to female professional voice users who smoke.

Dataset Information

Acoustic voice variation within and between speakers.

Publications

Acoustic voice variation within and between speakers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets