DocumentCode
2115342
Title
Normalization strategies for nasal acceleration to assess velopharyngeal function
Author
Thorp, Elias B. ; Virnik, B.T. ; Stepp, Cara E.
Author_Institution
Dept. of Biomed. Eng., Boston Univ., Boston, MA, USA
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
6459
Lastpage
6462
Abstract
Velopharyngeal function is essential for intelligible speech production, but can often be impaired. Current clinical care could be improved with the use of reliable and objective methods of assessment appropriate for home use. This paper explores the use of a combined nasal acceleration and acoustic sensor to assess velopharyngeal function. Speech production data in nasalized and non-nasalized contexts is recorded from N=6 healthy participants and three normalization strategies are assessed. Normalizing data to maximally nasal productions results in a reduction of between-speaker variability. Using a filtered speech signal can reduce the effects of intra-speaker variability caused be differences in loudness. The normalization strategies pursued show high discriminability of nasalization in vowels with an inexpensive sensor appropriate for home use.
Keywords
medical disorders; medical signal processing; patient diagnosis; sensors; speech; speech intelligibility; speech processing; acoustic sensor; filtered speech signal; intelligible speech production; intra-speaker variability effects; loudness differences; nasal acceleration; nonnasalized context; normalization strategies; velopharyngeal function assessment; Acceleration; Acoustic measurements; Acoustics; Educational institutions; Low pass filters; Production; Speech; Adult; Female; Humans; Male; Nose; Pharynx; Reference Values; Speech; Young Adult;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6347473
Filename
6347473
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