Literature DB >> 6223180

The accuracy of formant frequency measurements: a comparison of spectrographic analysis and linear prediction.

R B Monsen, A M Engebretson.   

Abstract

The accuracy of spectrographic techniques and of linear prediction analysis in measuring formant frequencies is compared. The first three formant frequencies of 90 synthetic speech tokens were measured by three experienced spectrographic readers and by linear prediction analysis. For fundamental frequencies between 100 and 300 Hz, both methods are accurate to within approximately +/- 60 Hz for both first and second formants. The third formant can be measured with the same degree of accuracy by linear prediction, but only to within +/- 110 Hz by spectrographic means. The accuracy of both methods decreases greatly when fundamental frequency is 350 Hz or greater. These limits of measurement appear to be within the range of the difference limens for formant frequencies.

Mesh:

Year:  1983        PMID: 6223180     DOI: 10.1044/jshr.2601.89

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


  8 in total

1.  Perceptual susceptibility to acoustic manipulations in speaker discrimination.

Authors:  Gregory Sell; Clara Suied; Mounya Elhilali; Shihab Shamma
Journal:  J Acoust Soc Am       Date:  2015-02       Impact factor: 1.840

2.  Comparing measurement errors for formants in synthetic and natural vowels.

Authors:  Christine H Shadle; Hosung Nam; D H Whalen
Journal:  J Acoust Soc Am       Date:  2016-02       Impact factor: 1.840

3.  Informational masking of speech in children: auditory-visual integration.

Authors:  Frederic Wightman; Doris Kistler; Douglas Brungart
Journal:  J Acoust Soc Am       Date:  2006-06       Impact factor: 1.840

4.  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

5.  Formants are easy to measure; resonances, not so much: Lessons from Klatt (1986).

Authors:  D H Whalen; Wei-Rong Chen; Christine H Shadle; Sean A Fulop
Journal:  J Acoust Soc Am       Date:  2022-08       Impact factor: 2.482

6.  A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data.

Authors:  Richard E Turner; Thomas C Walters; Jessica J M Monaghan; Roy D Patterson
Journal:  J Acoust Soc Am       Date:  2009-04       Impact factor: 1.840

7.  Predicting speech intelligibility with a multiple speech subsystems approach in children with cerebral palsy.

Authors:  Jimin Lee; Katherine C Hustad; Gary Weismer
Journal:  J Speech Lang Hear Res       Date:  2014-10       Impact factor: 2.297

Review 8.  Static measurements of vowel formant frequencies and bandwidths: A review.

Authors:  Raymond D Kent; Houri K Vorperian
Journal:  J Commun Disord       Date:  2018-06-01       Impact factor: 2.288

  8 in total

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