An iOS-based Cepstral Peak Prominence Application: Feasibility for Patient Practice of Resonant Voice.

OBJECTIVES/HYPOTHESIS Patients participating in voice therapy often express difficulty replicating therapy targets during their independent home practice. To assist patients, an iOS-based app was developed that calculates and displays cepstral peak prominence (CPP) values for patient self-monitoring of voice quality. The purpose of this study was to investigate the usability (ie ease of use) and utility (ie helpfulness) of this app in patient practice of resonant voice, and its effect on self-efficacy for practice. DESIGN This study used mixed methods including repeated measures, survey, and semi-structured interview. METHODS/RESULTS A total of 14 individuals undergoing voice therapy for a variety of voice disorders produced sustained phonation and connected speech tasks in three sequential conditions: habitual voice quality, resonant voice quality achieved without clinician assistance, and resonant voice quality achieved in interaction with the CPP app. For both tasks, CPP values were significantly and progressively higher in subsequent conditions, indicating utility of mobile CPP to differentiate habitual voice quality from resonant voice production. The participants found the app easy to use as indicated by high System Usability Scale ratings, and rated self-efficacy for practice with the app significantly higher than for unassisted practice. The interviews suggested that the participants found numeric CPP feedback helpful in self-evaluating voice quality, and thought it was "fun" to use the app. CONCLUSION CPP information provided on a mobile app has potential to assist and motivate patients in the achievement of resonant voice production.

[1]  J Lebacq,et al.  Plasticity of voice quality: a prognostic factor for outcome of voice therapy? , 2001, Journal of voice : official journal of the Voice Foundation.

[2]  Florin Oprescu,et al.  I PLAY AT WORK—ten principles for transforming work processes through gamification , 2014, Front. Psychol..

[3]  J. Hillenbrand,et al.  Acoustic correlates of breathy vocal quality. , 1994, Journal of speech and hearing research.

[4]  Eva van Leer,et al.  Use of portable digital media players increases patient motivation and practice in voice therapy. , 2012, Journal of voice : official journal of the Voice Foundation.

[5]  Juan Ignacio Godino-Llorente,et al.  Cepstral peak prominence: A comprehensive analysis , 2014, Biomed. Signal Process. Control..

[6]  Jeff Sauro,et al.  The Factor Structure of the System Usability Scale , 2009, HCI.

[7]  Christopher Dromey,et al.  Estimating dysphonia severity in continuous speech: Application of a multi-parameter spectral/cepstral model , 2009, Clinical linguistics & phonetics.

[8]  G. Wulf,et al.  Enhancing the Learning of Sport Skills Through External-Focus Feedback , 2002, Journal of motor behavior.

[9]  S. Awan,et al.  Effects of vocal intensity and vowel type on cepstral analysis of voice. , 2012, Journal of voice : official journal of the Voice Foundation.

[10]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[11]  J. Hillenbrand,et al.  Cepstral Peak Prominence: A More Reliable Measure of Dysphonia , 2003, The Annals of otology, rhinology, and laryngology.

[12]  J. Hillenbrand,et al.  Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. , 1996, Journal of speech and hearing research.

[13]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[14]  Eva van Leer,et al.  Patient perceptions of voice therapy adherence. , 2010, Journal of voice : official journal of the Voice Foundation.

[15]  A. Bandura Social cognitive theory: an agentic perspective. , 1999, Annual review of psychology.

[16]  B. Lundman,et al.  Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. , 2004, Nurse education today.

[17]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[18]  E. A. Locke,et al.  Goal setting theory. , 2012 .

[19]  Shaheen N Awan,et al.  Toward the development of an objective index of dysphonia severity: A four‐factor acoustic model , 2006, Clinical linguistics & phonetics.

[20]  Creating a mastery experience during the voice evaluation. , 2012, Journal of voice : official journal of the Voice Foundation.

[21]  P. Van cauwenberge,et al.  Acoustic measurement of overall voice quality: a meta-analysis. , 2009, The Journal of the Acoustical Society of America.

[22]  L. Glaze,et al.  Preliminary study of two methods of treatment for laryngeal nodules. , 1995, Journal of voice : official journal of the Voice Foundation.

[23]  N. Connor,et al.  Predicting and influencing voice therapy adherence using social-cognitive factors and mobile video. , 2015, American journal of speech-language pathology.

[24]  G Wulf,et al.  Physical assistance devices in complex motor skill learning: benefits of a self-controlled practice schedule. , 1999, Research quarterly for exercise and sport.

[25]  Jonathan Grudin,et al.  Utility and Usability: Research Issues and Development Contexts , 1992, Interact. Comput..

[26]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[27]  A. Behrman Facilitating behavioral change in voice therapy: the relevance of motivational interviewing. , 2006, American journal of speech-language pathology.

[28]  J. Perkell,et al.  Objective assessment of vocal hyperfunction: an experimental framework and initial results. , 1989, Journal of speech and hearing research.

[29]  R. Ying Motivational interviewing: helping people change , 2013 .

[30]  C. Shea,et al.  Motor skill learning and performance: a review of influential factors , 2010, Medical education.