The effect of vocal tract parameters on aspiration noise discrimination

Labuschagne, Ilse Bernadette; Ciocca, Valter

doi:10.1121/10.0000756

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Informative priors can also specify likely values of a population-level effect. Kirby et al (2020) estimate the effect of preceding consonant voicing on F0 in French and Italian using using an informative prior encoding the effect's likely direction and magnitude, based on previous cross-linguistic studies (see also Labuschagne and Ciocca, 2020;Vasishth et al, 2018). This approach leverages the phonetics literature for more precise estimates.…”

Section: Strongly Informative Priorsmentioning

confidence: 99%

Advancements of Phonetics in the 21st century: Quantitative data analysis

Sonderegger,

Soskuthy

2024

Preprint

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Phonetic research in the 21st century has relied heavily on quantitative analysis. This article reviews the evolu- tion of common practices and the emergence of newer techniques. Using a detailed literature survey, we show that most work follows a mainstream, which has shifted from ANOVAs to mixed-effects regression models over time. Alongside this mainstream, we highlight the increasing use of a diverse methodological toolbox, especially Bayesian methods and dynamic methods, for which we provide comprehensive reviews. Bayesian methods offer flexibility in model specification, interpretation, and incorporation of prior knowledge. Dynamic methods, such as GAMMs and functional data analysis, capture non-linear patterns in acoustic and articulatory data. Machine learning techniques, such as random forests, expand the questions and types of data phoneticians can analyze. We also discuss the grow- ing importance of open science practices promoting replicability and transparency. We argue that the future lies in a diverse methodological toolbox, with techniques chosen based on research questions and data structure.

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Section: Strongly Informative Priorsmentioning

confidence: 99%

Advancements of Phonetics in the 21st century: Quantitative data analysis

Sonderegger,

Soskuthy

2024

Preprint

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Validating a psychoacoustic model of voice quality

Kreiman

Lee

Garellek

et al. 2021

The Journal of the Acoustical Society of America

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No agreed-upon method currently exists for objective measurement of perceived voice quality. This paper describes validation of a psychoacoustic model designed to fill this gap. This model includes parameters to characterize the harmonic and inharmonic voice sources, vocal tract transfer function, fundamental frequency, and amplitude of the voice, which together serve to completely quantify the integral sound of a target voice sample. In experiment 1, 200 voices with and without diagnosed vocal pathology were fit with the model using analysis-by-synthesis. The resulting synthetic voice samples were not distinguishable from the original voice tokens, suggesting that the model has all the parameters it needs to fully quantify voice quality. In experiment 2 parameters that model the harmonic voice source were removed one by one, and the voice tokens were re-synthesized with the reduced model. In every case the lower-dimensional models provided worse perceptual matches to the quality of the natural tokens than did the original set, indicating that the psychoacoustic model cannot be reduced in dimensionality without loss of fit to the data. Results confirm that this model can be validly applied to quantify voice quality in clinical and research applications.

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Noise thresholds in harmonic series maskers

Labuschagne

Ciocca

2021

The Journal of the Acoustical Society of America

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The presence of noise is a salient cue to the perception of breathiness and aspiration in speech sounds. The detection of noise within harmonic series (maskers) composed of unresolved components was found to depend on the fundamental frequency (fo) and the overall level of the masker [Gockel, Moore, and Patterson (2002). J. Acoust. Soc. Am., 111 (6), 2759–2770]. In the present study, noise detection thresholds were measured as a function of the frequency range, the fo, and the overall level of harmonic maskers. Frequency range was specified in equivalent rectangular bandwidth (ERB) units (3–13, 13–23, 23–33, or 3–33 ERBs). The results were consistent with the idea that listeners rely on spectral cues when maskers comprise only resolved components (3–13 ERBs), and on temporal (dip listening) cues when maskers contain only unresolved components (23–33 ERBs). Noise detection thresholds were generally lower when masker level was high (70 dBA) than when it was low (50 dBA). Masker fo affected thresholds only when listeners relied on spectral cues for noise detection. With the wideband (3–33 ERBs) masker, listeners likely detected noise by focusing on the frequency band (23–33 ERBs) with the most advantageous noise-to-harmonic ratio.

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The effect of vocal tract parameters on aspiration noise discrimination

Cited by 3 publications

References 35 publications

Advancements of Phonetics in the 21st century: Quantitative data analysis

Advancements of Phonetics in the 21st century: Quantitative data analysis

Validating a psychoacoustic model of voice quality

Noise thresholds in harmonic series maskers

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