2022
DOI: 10.1121/10.0011471
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Acoustic voice variation in spontaneous speech

Abstract: This study replicates and extends the recent findings of Lee, Keating, and Kreiman [J. Acoust. Soc. Am. 146(3), 1568–1579 (2019)] on acoustic voice variation in read speech, which showed remarkably similar acoustic voice spaces for groups of female and male talkers and the individual talkers within these groups. Principal component analysis was applied to acoustic indices of voice quality measured from phone conversations for 99/100 of the same talkers studied previously. The acoustic voice spaces derived from… Show more

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Cited by 7 publications
(5 citation statements)
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“…The method used in this survey is adapted from the works of Johnson et al (2020), , and Lee & Kreiman (2022) on analyzing the voice-quality-related parameters. All analyses were carried out using R version 4.0.4 (R Core Team, 2021)…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The method used in this survey is adapted from the works of Johnson et al (2020), , and Lee & Kreiman (2022) on analyzing the voice-quality-related parameters. All analyses were carried out using R version 4.0.4 (R Core Team, 2021)…”
Section: Discussionmentioning
confidence: 99%
“…Breaking down the data sets into different components enables the researcher to better identify and explain the internal structure of the data-and thus find the similarities and differences in the voices of bilinguals. In PCA, since some correlation was expected between the measured parameters, oblique rotation was implemented to simplify the structure of the data (Johnson et al, 2020;Y. Lee & Kreiman, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…With PCA, the most variance of the data is accounted for by the first component, and each subsequent component accounts for a lesser variance. This method was particularly necessary for the voice quality measures as they are highly correlated with one another, and a similar approach was used in previous studies of voice quality [ 40 , 47 ]. Only those parameters related to the vocal folds directly (i.e., rate and manner of vocal fold vibration; the variables belonging to the “voice” type in Table 3 ) were thus included in PCAs.…”
Section: Methodsmentioning
confidence: 99%
“…In contrast, they have different segmental and prosodic characteristics from read speech [ 38 ], and one can find some speech characteristics more easily in spontaneous speech, such as connected speech processes, phonetic reduction [ 39 ], and speech style adaptations depending on the needs of the situation (e.g., hyperarticulation). We may be able to find acoustic variability (e.g., variability in f0) that would not be found in read speech [ 40 ]. We thus devised a new method for eliciting spontaneous speech from subjects while they played the role of a customer service employee talking to a customer, and this method controlled for the lexical items and syntactic structures of their utterances.…”
Section: Introductionmentioning
confidence: 99%
“…Substantial talker differences have been found in the production of English vowels (e.g., Hillenbrand et al, 1995;Johnson et al, 1993;Peterson & Barney, 1952) and consonants (e.g., Allen et al, 2003;Newman et al, 2001;Theodore et al, 2009;Westbury et al, 1998). Talkers also differ from one another in voice production, including habitual pitch (Atkinson, 1976;Stone & Rainey, 1991) and voice quality (Lee et al, 2019;2022;Pierce et al, 2021). Finally, talker differences exist in suprasegmental aspects of speech such as speaking rate (Tsao et al, 2006;Jacewicz et al, 2009) and relative duration of voiced and voiceless segments, generally referred to as speech "rhythm" (Leeman et al, 2014;Wiget et al, 2010).…”
Section: Talker Differences In Speech Productionmentioning
confidence: 99%