Literature DB >> 16378473

Adaptation of a Pocket PC for use as a wearable voice dosimeter.

Peter S Popolo1, Jan G Svec, Ingo R Titze.   

Abstract

This article deals with the adaptation of a commercially available Pocket PC for use as a voice dosimeter, a wearable device that measures the vocal dose of teachers or other individuals on the job, at home, and elsewhere during the course of an entire day. An engineering approach for designing a voice dosimeter is described, and design data are presented. Technical issues include transducer selection, dynamic range, frequency response, memory requirements, power requirements, attachment, cables, connections, and data collection. Advantages and disadvantages of the design are discussed.

Mesh:

Year:  2005        PMID: 16378473     DOI: 10.1044/1092-4388(2005/054)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  32 in total

1.  The inability to produce soft voice (IPSV): a tool to detect vocal change in school-teachers.

Authors:  Angela E Halpern; Jennifer L Spielman; Eric J Hunter; Ingo R Titze
Journal:  Logoped Phoniatr Vocol       Date:  2009       Impact factor: 1.487

2.  Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform.

Authors:  Daryush D Mehta; Matías Zañartu; Shengran W Feng; Harold A Cheyne; Robert E Hillman
Journal:  IEEE Trans Biomed Eng       Date:  2012-08-02       Impact factor: 4.538

3.  Comparison of Vocal Vibration-Dose Measures for Potential-Damage Risk Criteria.

Authors:  Ingo R Titze; Eric J Hunter
Journal:  J Speech Lang Hear Res       Date:  2015-10       Impact factor: 2.297

4.  Automatic speech and singing classification in ambulatory recordings for normal and disordered voices.

Authors:  Andrew J Ortiz; Laura E Toles; Katherine L Marks; Silvia Capobianco; Daryush D Mehta; Robert E Hillman; Jarrad H Van Stan
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

5.  Teacher response to ambulatory monitoring of voice.

Authors:  Eric J Hunter
Journal:  Logoped Phoniatr Vocol       Date:  2012-03-23       Impact factor: 1.487

6.  Impact of four nonclinical speaking environments on a child's fundamental frequency and voice level: a preliminary case study.

Authors:  Eric J Hunter; Angela E Halpern; Jennifer L Spielman
Journal:  Lang Speech Hear Serv Sch       Date:  2012-01-23       Impact factor: 2.983

7.  Comparison of voice relative fundamental frequency estimates derived from an accelerometer signal and low-pass filtered and unprocessed microphone signals.

Authors:  Yu-An S Lien; Cara E Stepp
Journal:  J Acoust Soc Am       Date:  2014-05       Impact factor: 1.840

8.  Towards a self-rating tool of the inability to produce soft voice based on nonlinear events: a preliminary study.

Authors:  Peter S Popolo; Ingo R Titze; Eric J Hunter
Journal:  Acta Acust United Acust       Date:  2011-05-01

9.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

10.  A comparison of a child's fundamental frequencies in structured elicited vocalizations versus unstructured natural vocalizations: a case study.

Authors:  Eric J Hunter
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2009-01-30       Impact factor: 1.675

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