Analysis and Recognition of Esophageal Speech

Author

Mantilla, Alfredo ; Perez-Meana, Hector ; TreviNo, Jorge ; Ortal, Patricia

Author_Institution

Departamento de Electron., ITESM, Mexico City

fYear

2006

fDate

Aug. 2006

Firstpage

101

Lastpage

106

Abstract

This paper presents a system for analysis and recognition of voiced segments in Spanish esophageal speech. This algorithm involves voiced speech segments analysis methods based in energy criterion and zero crossing, as well as, feature extraction using a wavelet function based on the inner ear model and the recognition stage through the artificial neural networks. Simulation results are presented for normal and esophageal speech

Keywords

feature extraction; neural nets; speech recognition; wavelet transforms; Spanish esophageal speech recognition; artificial neural networks; energy criterion; feature extraction; inner ear model; voiced segment recognition; voiced speech segments analysis methods; wavelet function; zero crossing; Artificial neural networks; Esophagus; Humans; Larynx; Signal processing algorithms; Speech analysis; Speech processing; Speech recognition; Speech synthesis; Wavelet transforms; esophageal speech; feature extraction; neural networks; voiced and unvoiced classification; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2006 IEEE International Symposium on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9753-3

Electronic_ISBN

0-7803-9754-1

Type

conf

DOI

10.1109/ISSPIT.2006.270778

Filename

4042220