Literature DB >> 3599957

Some technical considerations in voice perturbation measurements.

I R Titze, Y Horii, R C Scherer.   

Abstract

The maximum theoretical quantization noise (shimmer and jitter) for digital recording systems is estimated and compared with normal vocal shimmer and jitter. Nine bits of resolution and 500 samples per cycle are needed to minimize the contaminating sampling noise without interpolation between samples. With interpolation, however, fewer than 100 samples per cycle can resolve jitter down to 0.1%. Low-pass filtering is not harmful unless peak-picking strategies are used, and the peaks are severely broadened by the low-pass filter. A window of at least 20 cycles is suggested, and multiple tokens of an utterance are necessary to obtain a stable mean for perturbation measures.

Mesh:

Year:  1987        PMID: 3599957     DOI: 10.1044/jshr.3002.252

Source DB:  PubMed          Journal:  J Speech Hear Res        ISSN: 0022-4685


  21 in total

1.  Effects of the Voice over Internet Protocol on perturbation analysis of normal and pathological phonation.

Authors:  Yanmei Zhu; Rachel E Witt; Julia K MacCallum; Jack J Jiang
Journal:  Folia Phoniatr Logop       Date:  2010-06-28       Impact factor: 0.849

2.  The role of spectral and temporal cues in voice gender discrimination by normal-hearing listeners and cochlear implant users.

Authors:  Qian-Jie Fu; Sherol Chinchilla; John J Galvin
Journal:  J Assoc Res Otolaryngol       Date:  2004-05-20

3.  Relation of structural and vibratory kinematics of the vocal folds to two acoustic measures of breathy voice based on computational modeling.

Authors:  Robin A Samlan; Brad H Story
Journal:  J Speech Lang Hear Res       Date:  2011-04-15       Impact factor: 2.297

4.  Comparison of magnetic resonance imaging-based vocal tract area functions obtained from the same speaker in 1994 and 2002.

Authors:  Brad H Story
Journal:  J Acoust Soc Am       Date:  2008-01       Impact factor: 1.840

5.  Perturbation and nonlinear dynamic analysis of different singing styles.

Authors:  Caitlin J Butte; Yu Zhang; Huangqiang Song; Jack J Jiang
Journal:  J Voice       Date:  2008-05-27       Impact factor: 2.009

6.  Effects of low-pass filtering on acoustic analysis of voice.

Authors:  Julia K MacCallum; Aleksandra E Olszewski; Yu Zhang; Jack J Jiang
Journal:  J Voice       Date:  2010-03-25       Impact factor: 2.009

7.  Vowel space density as an indicator of speech performance.

Authors:  Brad H Story; Kate Bunton
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

8.  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

9.  Acoustic and perceptual effects of left-right laryngeal asymmetries based on computational modeling.

Authors:  Robin A Samlan; Brad H Story; Andrew J Lotto; Kate Bunton
Journal:  J Speech Lang Hear Res       Date:  2014-10       Impact factor: 2.297

10.  Quality prevails over identity in the sexually selected vocalisations of an ageing mammal.

Authors:  Elodie Briefer; Elisabetta Vannoni; Alan G McElligott
Journal:  BMC Biol       Date:  2010-04-09       Impact factor: 7.431

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