Literature DB >> 6827040

Effects of physiological aging on vowel spectral noise.

L A Ramig.   

Abstract

Vowel spectral noise was studied in the sustained phonations of 48 men representing two levels of physiological condition (good and poor) within each of three chronological age groups (25 to 35, 45 to 55, and 65 to 75 years). Results indicated physiological condition was significantly correlated with noise rankings, whereas chronological age and noise were not significantly correlated. These findings support the notion that physiological condition is a significant variable to consider in the analysis of acoustic characteristics of voice.

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Year:  1983        PMID: 6827040     DOI: 10.1093/geronj/38.2.223

Source DB:  PubMed          Journal:  J Gerontol        ISSN: 0022-1422


  7 in total

1.  Movement sequencing in normal aging: speech, oro-facial, and finger movements.

Authors:  Mylène Bilodeau-Mercure; Vanessa Kirouac; Nancy Langlois; Claudie Ouellet; Isabelle Gasse; Pascale Tremblay
Journal:  Age (Dordr)       Date:  2015-07-25

2.  Age differences in the motor control of speech: An fMRI study of healthy aging.

Authors:  Pascale Tremblay; Marc Sato; Isabelle Deschamps
Journal:  Hum Brain Mapp       Date:  2017-03-06       Impact factor: 5.038

3.  Listener estimates of talker age in a single-talker, 50-year longitudinal sample.

Authors:  Eric J Hunter; Sarah Hargus Ferguson
Journal:  J Commun Disord       Date:  2017-06-09       Impact factor: 2.288

4.  Listener estimations of talker age: A meta-analysis of the literature.

Authors:  Eric J Hunter; Sarah Hargus Ferguson; Catherine Anne Newman
Journal:  Logoped Phoniatr Vocol       Date:  2015-06-16       Impact factor: 1.487

5.  Progression of Voice Breaks in a Nonpathological Voice as an Indicator of Aerodigestive Health.

Authors:  Eric J Hunter; Ingo R Titze
Journal:  J Am Geriatr Soc       Date:  2016-08-26       Impact factor: 5.562

6.  Functional and structural aging of the speech sensorimotor neural system: functional magnetic resonance imaging evidence.

Authors:  Pascale Tremblay; Anthony S Dick; Steven L Small
Journal:  Neurobiol Aging       Date:  2013-03-21       Impact factor: 4.673

7.  Speech as a Biomarker for COVID-19 Detection Using Machine Learning.

Authors:  Mohammed Usman; Vinit Kumar Gunjan; Mohd Wajid; Mohammed Zubair; Kazy Noor-E-Alam Siddiquee
Journal:  Comput Intell Neurosci       Date:  2022-04-18
  7 in total

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