Computerized Analysis of Acoustic Characteristics of Patients with Internal Nasal Valve Collapse Before and After Functional Rhinoplasty

Acoustic analysis of sounds produced during speech provides significant information about the physiology of larynx and vocal tract. The analysis of voice power spectrum is a fundamental sensitive method of acoustic assessment that provides valuable information about the voice source and characteristics of vocal tract resonance cavities. The changes in long-term average spectrum (LTAS) spectral tilt and harmony to noise ratio (HNR) were analyzed to assess the voice quality before and after functional rhinoplasty in patients with internal nasal valve collapse. Before and 3 months after functional rhinoplasty, 12 participants were evaluated and HNR and LTAS spectral tilt in /a/ and /i/ vowels were estimated. It was seen that an increase in HNR and a decrease in LTAS spectral tilt existed after surgery. Mean LTAS spectral tilt in vowel /a/ decreased from 2.37 ± 1.04 to 2.28 ± 1.17 (P = 0.388), and it was decreased from 4.16 ± 1.65 to 2.73 ± 0.69 in vowel /i/ (P = 0.008). Mean HNR in the vowel /a/ increased from 20.71 ± 3.93 to 25.06 ± 2.67 (P = 0.002), and it was increased from 21.28 ± 4.11 to 25.26 ± 3.94 in vowel /i/ (P = 0.002). Modification of the vocal tract caused the vocal cords to close sufficiently, and this showed that although rhinoplasty did not affect the larynx directly, it changes the structure of the vocal tract and consequently the resonance of voice production. The aim of this study was to investigate the changes in voice parameters after functional rhinoplasty in patients with internal nasal valve collapse by computerized analysis of acoustic characteristics.

[1]  C. Ferrand Harmonics-to-noise ratio: an index of vocal aging. , 2002, Journal of voice : official journal of the Voice Foundation.

[2]  M. Hannley,et al.  Evidence supporting functional rhinoplasty or nasal valve repair: A 25-year systematic review , 2008, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[3]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[4]  E. Erdfelder,et al.  Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses , 2009, Behavior research methods.

[5]  A. Aronson Clinical Voice Disorders , 2009 .

[6]  P. Ladefoged A course in phonetics , 1975 .

[7]  M. Kłaczyński,et al.  Reduction of Speech Signal Deformation in Patients after Nasal Septum Surgery (Septolplasty) , 2011 .

[8]  R. Martins,et al.  Consequences of chronic nasal obstruction on the laryngeal mucosa and voice quality of 4- to 12-year-old children. , 2012, Journal of voice : official journal of the Voice Foundation.

[9]  R. Sataloff Understanding voice problems: A physiological perspective for diagnosis and treatment , 1990 .

[10]  J. Harrington,et al.  Techniques in Speech Acoustics , 1999, Computational Linguistics.

[11]  J. Sundberg,et al.  Spectral correlates of glottal voice source waveform characteristics. , 1989, Journal of speech and hearing research.

[12]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[13]  M. Friedman,et al.  Nasal Valve Suspension: An Improved, Simplified Technique for Nasal Valve Collapse , 2003, The Laryngoscope.

[14]  D. Kuehn,et al.  Temporal Characteristics of Nasalization in Speakers with and without Cleft Palate , 2011, The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association.

[15]  Emmanuel Ifeachor,et al.  Digital Signal Processing: A Practical Approach , 1993 .

[16]  D. W. Warren,et al.  The relationship between spectral characteristics and perceived hypernasality in children. , 2001, The Journal of the Acoustical Society of America.

[17]  R. M. Garrett Cepstral- and Spectral-Based Acoustic Measures of Normal Voices , 2013 .

[18]  M. Finkelstein,et al.  Hoarseness in children with cleft palate , 2008, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[19]  R. Hu,et al.  Voice function following Han's uvulopalatopharyngoplasty. , 2012, The Journal of laryngology and otology.

[20]  Paul Boersma,et al.  Praat: doing phonetics by computer , 2003 .

[21]  H. Rihkanen,et al.  Changes in voice characteristics after uvulopalatopharyngoplasty , 2004, European Archives of Oto-Rhino-Laryngology.

[22]  Bayya Yegnanarayana,et al.  Decomposition of speech signals into deterministic and stochastic components , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[23]  G. Welch,et al.  Age-related changes in long-term average spectra of children's voices. , 2008, Journal of voice : official journal of the Voice Foundation.

[24]  B. Jankowska,et al.  The impact of tonsillectomy with or without adenoidectomy on speech and voice. , 2008, International journal of pediatric otorhinolaryngology.

[25]  P. Boersma ACCURATE SHORT-TERM ANALYSIS OF THE FUNDAMENTAL FREQUENCY AND THE HARMONICS-TO-NOISE RATIO OF A SAMPLED SOUND , 1993 .

[26]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[27]  H. Gish,et al.  Text-independent speaker identification , 1994, IEEE Signal Processing Magazine.

[28]  Alison Behrman,et al.  Speech and Voice Science , 2007 .

[29]  R. Haydon,et al.  The relationship between dysphonia and sinusitis: a pilot study. , 2001, Journal of voice : official journal of the Voice Foundation.

[30]  C. Ferrand,et al.  Harmonics-to-noise ratios in normally speaking prepubescent girls and boys. , 2000, Journal of voice : official journal of the Voice Foundation.

[31]  A. Laukkanen,et al.  Acoustic and perceptual analyses of Brazilian male actors' and nonactors' voices: long-term average spectrum and the "actor's formant". , 2008, Journal of voice : official journal of the Voice Foundation.

[32]  Alex Acero,et al.  Spoken Language Processing: A Guide to Theory, Algorithm and System Development , 2001 .

[33]  B. Jankowska,et al.  Effects of adenotonsillectomy on speech spectrum in children. , 2007, International journal of pediatric otorhinolaryngology.

[34]  Philip J. B. Jackson,et al.  Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech , 2001, IEEE Trans. Speech Audio Process..

[36]  David P Kuehn,et al.  Universal Parameters for Reporting Speech Outcomes in Individuals with Cleft Palate , 2008, The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association.

[37]  Eric Moulines,et al.  HNS: Speech modification based on a harmonic+noise model , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[38]  D. Childers,et al.  Acoustic correlates of vocal quality. , 1990, Journal of speech and hearing research.

[39]  R. Hinde,et al.  Advances in the study of behavior , 1966 .

[40]  P. H. Lindsay,et al.  Human Information Processing: An Introduction to Psychology , 1972 .

[41]  M. Bakhshaee,et al.  The Potential Effects of Rhinoplasty on Voice , 2014, Plastic and reconstructive surgery.

[42]  B. Jankowska,et al.  Effects of uvulopalatopharyngoplasty with Harmonic Scalpel on speech and voice , 2009, European Archives of Oto-Rhino-Laryngology.

[43]  L. Ramos,et al.  Acoustic and long-term average spectrum measures to detect vocal aging in women. , 2011, Journal of voice : official journal of the Voice Foundation.