Literature DB >> 32658592

Cepstral Peak Prominence Values for Clinical Voice Evaluation.

Olivia Murton1,2, Robert Hillman1,2,3,4, Daryush Mehta1,2,3,4.   

Abstract

Purpose The goal of this study was to employ frequently used analysis methods and tasks to identify values for cepstral peak prominence (CPP) that can aid clinical voice evaluation. Experiment 1 identified CPP values to distinguish speakers with and without voice disorders. Experiment 2 was an initial attempt to estimate auditory-perceptual ratings of overall dysphonia severity using CPP values. Method CPP was computed using the Analysis of Dysphonia in Speech and Voice (ADSV) program and Praat. Experiment 1 included recordings from 295 patients with medically diagnosed voice disorders and 50 vocally healthy control speakers. Speakers produced sustained /a/ vowels and the English language Rainbow Passage. CPP cutoff values that best distinguished patient and control speakers were identified. Experiment 2 analyzed recordings from 32 English speakers with varying dysphonia severity and provided preliminary validation of the Experiment 1 cutoffs. Speakers sustained the /a/ vowel and read four sentences from the Consensus Auditory-Perceptual Evaluation of Voice protocol. Trained listeners provided auditory-perceptual ratings of overall dysphonia for the recordings, which were estimated using CPP values in a linear regression model whose performance was evaluated using the coefficient of determination (r 2). Results Experiment 1 identified CPP cutoff values of 11.46 dB (ADSV) and 14.45 dB (Praat) for the sustained /a/ vowels and 6.11 dB (ADSV) and 9.33 dB (Praat) for the Rainbow Passage. CPP values below those thresholds indicated the presence of a voice disorder with up to 94.5% accuracy. In Experiment 2, CPP values estimated ratings of overall dysphonia with r 2 values up to .74. Conclusions The CPP cutoff values identified in Experiment 1 provide normative reference points for clinical voice evaluation based on sustained /a/ vowels and the Rainbow Passage. Experiment 2 provides an initial predictive framework that can be used to relate CPP values to the auditory perception of overall dysphonia severity based on sustained /a/ vowels and Consensus Auditory-Perceptual Evaluation of Voice sentences.

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Mesh:

Year:  2020        PMID: 32658592      PMCID: PMC7893528          DOI: 10.1044/2020_AJSLP-20-00001

Source DB:  PubMed          Journal:  Am J Speech Lang Pathol        ISSN: 1058-0360            Impact factor:   2.408


  18 in total

1.  Cepstral peak prominence: a more reliable measure of dysphonia.

Authors:  Yolanda D Heman-Ackah; Reinhardt J Heuer; Deirdre D Michael; Rosemary Ostrowski; Michelle Horman; Margaret M Baroody; James Hillenbrand; Robert T Sataloff
Journal:  Ann Otol Rhinol Laryngol       Date:  2003-04       Impact factor: 1.547

2.  Quantifying dysphonia severity using a spectral/cepstral-based acoustic index: Comparisons with auditory-perceptual judgements from the CAPE-V.

Authors:  Shaheen N Awan; Nelson Roy; Marie E Jetté; Geoffrey S Meltzner; Robert E Hillman
Journal:  Clin Linguist Phon       Date:  2010-09       Impact factor: 1.346

3.  Consensus auditory-perceptual evaluation of voice: development of a standardized clinical protocol.

Authors:  Gail B Kempster; Bruce R Gerratt; Katherine Verdolini Abbott; Julie Barkmeier-Kraemer; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2008-10-16       Impact factor: 2.408

4.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

5.  A Comparison of Cepstral Peak Prominence Measures From Two Acoustic Analysis Programs.

Authors:  Christopher R Watts; Shaheen N Awan; Youri Maryn
Journal:  J Voice       Date:  2016-10-15       Impact factor: 2.009

Review 6.  Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function.

Authors:  Rita R Patel; Shaheen N Awan; Julie Barkmeier-Kraemer; Mark Courey; Dimitar Deliyski; Tanya Eadie; Diane Paul; Jan G Švec; Robert Hillman
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

7.  Validation of the measures of cepstral peak prominence as a measure of dysphonia severity in Spanish-speaking subjects.

Authors:  Faustino Núñez-Batalla; Noelia Cartón-Corona; Gabriela Vasile; Patricia García-Cabo; Laura Fernández-Vañes; José Luis Llorente-Pendás
Journal:  Acta Otorrinolaringol Esp (Engl Ed)       Date:  2018-08-07

8.  Quantifying the cepstral peak prominence, a measure of dysphonia.

Authors:  Yolanda D Heman-Ackah; Robert T Sataloff; Griet Laureyns; Deborah Lurie; Deirdre D Michael; Reinhardt Heuer; Adam Rubin; Robert Eller; Swapna Chandran; Mona Abaza; Karen Lyons; Venu Divi; Joanna Lott; Jennifer Johnson; James Hillenbrand
Journal:  J Voice       Date:  2014-08-29       Impact factor: 2.009

9.  Validation of the Cepstral Spectral Index of Dysphonia (CSID) as a Screening Tool for Voice Disorders: Development of Clinical Cutoff Scores.

Authors:  Shaheen N Awan; Nelson Roy; Dong Zhang; Seth M Cohen
Journal:  J Voice       Date:  2015-09-08       Impact factor: 2.009

10.  Effects of Vocal Intensity and Fundamental Frequency on Cepstral Peak Prominence in Patients with Voice Disorders and Vocally Healthy Controls.

Authors:  Meike Brockmann-Bauser; Jarrad H Van Stan; Marilia Carvalho Sampaio; Joerg E Bohlender; Robert E Hillman; Daryush D Mehta
Journal:  J Voice       Date:  2019-12-17       Impact factor: 2.009

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  9 in total

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Authors:  Hamzeh Ghasemzadeh; Philip C Doyle; Jeff Searl
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

2.  Clinical Cutoff Scores for Acoustic Indices of Vocal Hyperfunction That Combine Relative Fundamental Frequency and Cepstral Peak Prominence.

Authors:  Mara R Kapsner-Smith; Manuel E Díaz-Cádiz; Jennifer M Vojtech; Daniel P Buckley; Daryush D Mehta; Robert E Hillman; Lauren F Tracy; J Pieter Noordzij; Tanya L Eadie; Cara E Stepp
Journal:  J Speech Lang Hear Res       Date:  2022-03-10       Impact factor: 2.674

3.  Acoustic Effects of Vocal Warm-Up: A 7-Week Longitudinal Case Study.

Authors:  Adrián Castillo-Allendes; Lady Catherine Cantor-Cutiva; Eric J Hunter
Journal:  J Voice       Date:  2021-11-26       Impact factor: 2.300

4.  The Effects of Remote Signal Transmission and Recording on Acoustical Measures of Simulated Essential Vocal Tremor: Considerations for Remote Treatment Research and Telepractice.

Authors:  Rosemary A Lester-Smith; Charles G Jebaily; Brad H Story
Journal:  J Voice       Date:  2021-10-23       Impact factor: 2.300

5.  Voice Recognition and Evaluation of Vocal Music Based on Neural Network.

Authors:  Xiaochen Wang; Tao Wang
Journal:  Comput Intell Neurosci       Date:  2022-05-20

6.  Effects of Laryngeal Vibratory Asymmetry and Neuromuscular Compensation on Voice Quality.

Authors:  Pranati Pillutla; Zhaoyan Zhang; Jody Kreiman; Holly Wilhalme; Dinesh K Chhetri
Journal:  Laryngoscope       Date:  2021-07-03       Impact factor: 3.325

7.  Towards a Singing Voice Multi-Sensor Analysis Tool: System Design, and Assessment Based on Vocal Breathiness.

Authors:  Evangelos Angelakis; Natalia Kotsani; Anastasia Georgaki
Journal:  Sensors (Basel)       Date:  2021-11-30       Impact factor: 3.576

8.  Immediate and long-term effects of speech treatment targets and intensive dosage on Parkinson's disease dysphonia and the speech motor network: Randomized controlled trial.

Authors:  Shalini Narayana; Crystal Franklin; Elizabeth Peterson; Eric J Hunter; Donald A Robin; Angela Halpern; Jennifer Spielman; Peter T Fox; Lorraine O Ramig
Journal:  Hum Brain Mapp       Date:  2022-02-10       Impact factor: 5.038

9.  The effects of vocal exertion on lung volume measurements and acoustics in speakers reporting high and low vocal fatigue.

Authors:  Robert Brinton Fujiki; Jessica E Huber; M Preeti Sivasankar
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.752

  9 in total

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