DocumentCode :
3569157
Title :
Detection of hypernasal speech using a nonlinear operator
Author :
Cairns, Doug ; Hansen, John H L ; Riski, John E.
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
fYear :
1994
Firstpage :
253
Abstract :
Hypernasal speech is indicative of an underlying problem in the speech production system that results from either a physical defect, or a dysfunctional nervous system. Current clinical methods for determining whether speech is normal or hypernasal are invasive or awkward. A noninvasive system is proposed to classify speech as normal or hypernasal based on the nonlinear Teager Energy operator. The performance of the system is evaluated using normal and simulated hypernasal speech. Results show that the Teager Energy metric reliably detects the presence of hypernasality in a speech sample
Keywords :
medical signal processing; speech processing; Teager Energy metric; clinical methods; dysfunctional nervous system; hypernasal speech detection; noninvasive system; nonlinear Teager Energy operator; nonlinear operator; normal speech; physical defect; speech sample; Birth disorders; Cancer; Frequency modulation; Nervous system; Production systems; Resonance; Speech analysis; Speech processing; Stress; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
Type :
conf
DOI :
10.1109/IEMBS.1994.412058
Filename :
412058
Link To Document :
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