Speaker dependent changes in formants based on normalization of vowel triangle

Stanek, Miroslav; Sigmund, Milan

doi:10.1109/radioelek.2013.6530941

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…Generally, stress influenced vectors are not occupied in the second and fourth quadrant. By these statements and previous research [19], the increasing direction uniformity of created vectors can be assumed with increasing stress level which leads to erasing the deviations between speakers.…”

Section: Stress Influencesupporting

confidence: 66%

Finding the Most Uniform Changes in Vowel Polygon Caused by Psychological Stress

Stanek¹,

Sigmund²

2015

RADIOENGINEERING

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Section: Stress Influencesupporting

confidence: 66%

Finding the Most Uniform Changes in Vowel Polygon Caused by Psychological Stress

Stanek¹,

Sigmund²

2015

RADIOENGINEERING

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“…In our study, no significant change was found in the F0 frequency of any voice, and the F2 frequency of the /i/ sound similarly decreased after surgery, these results are consistent with Mishima et al 3 Vowels that determine the jaw opening along with the anterior and posterior parts of the tongue are defined as /i/, /u/, and /a/ sounds by Stanek in the vowel triangle. 16 In our study, besides the fact that there was no change in the fundamental frequency of the isolated states of these sounds, no significant difference was detected in the F1 and F2 formants after surgery. This can be explained by the fact that the height of the tongue can change adaptively with mouth opening and muscle control.…”

Section: Discussioncontrasting

confidence: 44%

“…Vowels that determine the jaw opening along with the anterior and posterior parts of the tongue are defined as /i/, /u/, and /a/ sounds by Stanek in the vowel triangle 16. In our study, besides the fact that there was no change in the fundamental frequency of the isolated states of these sounds, no significant difference was detected in the F1 and F2 formants after surgery.…”

Section: Discussionmentioning

confidence: 53%

Effects of the Orthognathic Surgery on the Voice Characteristics of Skeletal Class III Patients

Şahin

Yılmaz²

2022

Journal of Craniofacial Surgery

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Objectives: To analyze the effects of the bimaxillary orthognathic surgery on the voice characteristics of skeletal Class III cases, and to evaluate correlations between acoustic and skeletal changes. Method: Skeletal Class III adult patients (7 male, 18 female) were asked to pronounce the sounds “[a], [ɛ], [ɯ], [i], [ɔ], [œ], [u], [y]” for 3 seconds. Voice records and lateral cephalometric x-rays were taken before the surgery (T0) and 6 months after (T1). Voice records were taken for the control group with 6 months of interval (n=20). The formant frequencies (F0, F1, F2, and F3), Shimmer, Jitter and Noise to Harmonic Ratio (NHR) parameters were considered with Praat version 6.0.43. Results: In the surgery group, significant differences were observed in the F1 of [e], F2 and Shimmer of [ɯ] and F1 and F2 of [œ] and F1 of [y] sound, the post-surgery values were lower. F3 of [u] sound was higher. In comparison with the control group, ΔF3 of the [ɔ], ΔF3 of the [u] and ΔF1 of the [y] sound, ΔShimmer of [ɛ], [ɯ], [i], [ɔ], [u] and [y], and the ΔNHR of [ɔ] sound significantly changed. The Pearson correlation analysis proved some correlations; ΔF2 between ΔSNA for [ɯ] and [œ] sounds, ΔF1 between ΔHBV for [y] sound. Conclusion: Bimaxillary orthognathic surgery changed some voice parameters in skeletal Class III patients. Some correlations were found between skeletal and acoustic parameters. We advise clinicians to consider these findings and inform their patients.

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“…Contrary, the worst results were achieved for method 2, 3 and where the less uniformity of reached results is much smaller. Exactly, the vowel shapes IOU, AIOU and AEIOU lying in formant planes containing first or second formant F1, F2 reached the worst results approving the fact of the first two formants vary on spoken vowel [23].…”

Section: Discussionmentioning

confidence: 97%

Vowel polygon efficiency induced by middle level psychological stress

Stanek

2015

2015 38th International Conference on Telecommunications and Signal Processing (TSP)

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This paper presents the comparison of six different methods for finding the most uniform changes in vowel polygons caused by psychological middle level stress. On created database containing real stress, each method cross-correlating two different vowel polygon parameters is applied for reaching the most appropriate formant plane vowel shape to stress detection. The best results have been reached by Method 5 and Method 6, the best vowel shape can be classified as EIOU vowel tetragon, AEI and AEU vowel triangles. The best formant planes contain the fifth formant, i.e. F1F5, F2F5 and F3F5. Further by created efficiency coefficient, the best vowel polygons for stress detection are AEU35 (Method 6), AIO25 (Method 1) and EIOU15 (Method 5). The worst results are reached by methods 3 and 4 which are absolutely unsuitable for stress detection as well as formant plains containing both lower formants.

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Speaker dependent changes in formants based on normalization of vowel triangle

Cited by 7 publications

References 4 publications

Finding the Most Uniform Changes in Vowel Polygon Caused by Psychological Stress

Finding the Most Uniform Changes in Vowel Polygon Caused by Psychological Stress

Effects of the Orthognathic Surgery on the Voice Characteristics of Skeletal Class III Patients

Vowel polygon efficiency induced by middle level psychological stress

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