Literature DB >> 16521730

Technique for "tuning" vocal tract area functions based on acoustic sensitivity functions.

Brad H Story1.   

Abstract

A technique for modifying vocal tract area functions is developed by using sum and difference combinations of acoustic sensitivity functions to perturb an initial vocal tract configuration. First, sensitivity functions [e.g., Fant and Pauli, Proc. Speech Comm. Sem. 74, 1975] are calculated for a given area function, at its specific formant frequencies. The sensitivity functions are then multiplied by scaling coefficients that are determined from the difference between a desired set of formant frequencies and those supported by the current area function. The scaled sensitivity functions are then summed together to generate a perturbation of the area function. This produces a new area function whose associated formant frequencies are closer to the desired values than the previous one. This process is repeated iteratively until the coefficients are equal to zero or are below a threshold value.

Mesh:

Year:  2006        PMID: 16521730     DOI: 10.1121/1.2151802

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  12 in total

1.  Identification of synthetic vowels based on a time-varying model of the vocal tract area function.

Authors:  Kate Bunton; Brad H Story
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

2.  A comparison of vocal tract perturbation patterns based on statistical and acoustic considerations.

Authors:  Brad H Story
Journal:  J Acoust Soc Am       Date:  2007-10       Impact factor: 1.840

3.  Identification of synthetic vowels based on selected vocal tract area functions.

Authors:  Kate Bunton; Brad H Story
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

4.  Improved vocal tract reconstruction and modeling using an image super-resolution technique.

Authors:  Xinhui Zhou; Jonghye Woo; Maureen Stone; Jerry L Prince; Carol Y Espy-Wilson
Journal:  J Acoust Soc Am       Date:  2013-06       Impact factor: 1.840

5.  An age-dependent vocal tract model for males and females based on anatomic measurements.

Authors:  Brad H Story; Houri K Vorperian; Kate Bunton; Reid B Durtschi
Journal:  J Acoust Soc Am       Date:  2018-05       Impact factor: 1.840

6.  An acoustically-driven vocal tract model for stop consonant production.

Authors:  Brad H Story; Kate Bunton
Journal:  Speech Commun       Date:  2016-12-09       Impact factor: 2.017

7.  Formant measurement in children's speech based on spectral filtering.

Authors:  Brad H Story; Kate Bunton
Journal:  Speech Commun       Date:  2015       Impact factor: 2.017

8.  The Effects of Remote Signal Transmission and Recording on Acoustical Measures of Simulated Essential Vocal Tremor: Considerations for Remote Treatment Research and Telepractice.

Authors:  Rosemary A Lester-Smith; Charles G Jebaily; Brad H Story
Journal:  J Voice       Date:  2021-10-23       Impact factor: 2.300

9.  Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study.

Authors:  Gabriel A Alzamendi; Rodrigo Manríquez; Paul J Hadwin; Jonathan J Deng; Sean D Peterson; Byron D Erath; Daryush D Mehta; Robert E Hillman; Matías Zañartu
Journal:  J Acoust Soc Am       Date:  2020-05       Impact factor: 1.840

10.  A magnetic resonance imaging-based articulatory and acoustic study of "retroflex" and "bunched" American English /r/.

Authors:  Xinhui Zhou; Carol Y Espy-Wilson; Suzanne Boyce; Mark Tiede; Christy Holland; Ann Choe
Journal:  J Acoust Soc Am       Date:  2008-06       Impact factor: 2.482

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