Literature DB >> 24993219

Measurement of the sound transmission characteristics of normal neck tissue using a reflectionless uniform tube.

Liang Wu1, Ke Xiao1, Jiaqi Dong1, Supin Wang1, Mingxi Wan1.   

Abstract

Understanding the sound transmission of the neck tissue is necessary and important in areas such as vocal function evaluation and electrolarynx improvement. In this paper, a simple method using a reflectionless tube was proposed to measure the neck frequency response function (NFRF) of ten normal subjects (five males and five females) during Mandarin vowel production. The NFRFs across different subjects producing different vowels were measured at different neck positions and compared to confirm the effectiveness of the method, and determine the NFRF variations in normal subjects. The results showed that the proposed method offered an easy and effective way to obtain an accurate NFRF. For normal subjects, the neck tissue can be treated as a low-pass filter, with a maximum gain at 310 Hz and a roll-off at a slope of -8.4 dB/octave, flattening out above 2000 Hz. The measurement position on the neck did not influence the shape of the NFRF, but did change the overall gains of the NFRF. In addition, there was a significant gender difference in NFRFs at the low frequencies. Finally, some potential applications of this method and the results are suggested.

Mesh:

Year:  2014        PMID: 24993219     DOI: 10.1121/1.4883355

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation.

Authors:  Daryush D Mehta; Víctor M Espinoza; Jarrad H Van Stan; Matías Zañartu; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

2.  Relationships between vocal function measures derived from an acoustic microphone and a subglottal neck-surface accelerometer.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2016-01-11
  2 in total

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