Predicting Perceived Vocal Roughness Using a Bio-Inspired Computational Model of Auditory Temporal Envelope Processing

Autor/inn/en	Park, Yeonggwang; Anand, Supraja; Ozmeral, Erol J.; Shrivastav, Rahul; Eddins, David A.
Titel	Predicting Perceived Vocal Roughness Using a Bio-Inspired Computational Model of Auditory Temporal Envelope Processing
Quelle	In: Journal of Speech, Language, and Hearing Research, 65 (2022) 8, S.2748-2758 (11 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Park, Yeonggwang)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1092-4388
Schlagwörter	Voice Disorders; Evaluation Methods; Auditory Perception; Acoustics; Correlation; Models; Vowels; Audio Equipment; Databases; Task Analysis; Speech Evaluation; Comparative Analysis; Intonation; Predictor Variables; Accuracy; Older Adults; Measurement Techniques + Suchen Sie Ihr Suchwort? Stimmstörung; Auditive Wahrnehmung; Akustische Wahrnehmung; Akustik; Korrelation; Analogiemodell; Audio-CD; Datenbank; Aufgabenanalyse; Prädiktor; Älterer Erwachsener; Messtechnik
Abstract	Purpose: Vocal roughness is often present in many voice disorders but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks acoustic correlates. This study aimed to apply the concept of roughness in general sound quality perception to vocal roughness assessment and to characterize the relationship between vocal roughness and temporal envelop fluctuation measures obtained from an auditory model. Method: Ten /[open back unrounded vowel]/ recordings with a wide range of roughness were selected from an existing database. Ten listeners rated the roughness of the recordings in a single-variable matching task. Temporal envelope fluctuations of the recordings were analyzed with an auditory processing model of amplitude modulation that utilizes a modulation filterbank of different modulation frequencies. Pitch strength and the smoothed cepstral peak prominence were also obtained for comparison. Results: Individual simple regression models yielded envelope standard deviation from a modulation filter with a low center frequency (64.3 Hz) as a statistically significant predictor of vocal roughness with a strong coefficient of determination (r[subscript 2] = 0.80). Pitch strength and CPPS were not significant predictors of roughness. Conclusion: This result supports the possible utility of envelope fluctuation measures from an auditory model as objective correlates of vocal roughness. (As Provided).
Anmerkungen	American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01