Literature DB >> 8061771

High-frequency components of normal and dysphonic voices.

N Valencia Naranjo1, E Mendoza Lara, I Mateo Rodríguez, G Carballo García.   

Abstract

The analysis of high-frequency energy levels can presently be considered as being more influenced by the characteristics of the speaker than by the phonetic material, serving as an indicator of the quality of the voice. In this study the energy levels in the frequency intervals of 6-10 and 10-16 kHz were evaluated, both in dysphonic voices and in subjects with no voice problems. The material consisted of consonant-vowel syllables formed by stop phonemes and the basic Spanish vowels, analyzing the vocal segment. The results indicate that the energy, found from the power spectrum average, in both frequency areas, is significantly bigger in the group with dysphonic voices. The analysis in the 10-16 kHz regions shows additional significant differences of energy between the vowels, progressively decreasing from front to back vowels.

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Year:  1994        PMID: 8061771     DOI: 10.1016/s0892-1997(05)80307-8

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  5 in total

1.  Discriminating dysarthria type from envelope modulation spectra.

Authors:  Julie M Liss; Sue LeGendre; Andrew J Lotto
Journal:  J Speech Lang Hear Res       Date:  2010-07-19       Impact factor: 2.297

2.  Detection of high-frequency energy changes in sustained vowels produced by singers.

Authors:  Brian B Monson; Andrew J Lotto; Sten Ternström
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

3.  Analysis of high-frequency energy in long-term average spectra of singing, speech, and voiceless fricatives.

Authors:  Brian B Monson; Andrew J Lotto; Brad H Story
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

Review 4.  The perceptual significance of high-frequency energy in the human voice.

Authors:  Brian B Monson; Eric J Hunter; Andrew J Lotto; Brad H Story
Journal:  Front Psychol       Date:  2014-06-16

5.  Speech-based characterization of dopamine replacement therapy in people with Parkinson's disease.

Authors:  R Norel; C Agurto; S Heisig; J J Rice; H Zhang; R Ostrand; P W Wacnik; B K Ho; V L Ramos; G A Cecchi
Journal:  NPJ Parkinsons Dis       Date:  2020-06-12
  5 in total

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