Title :
Analysis and Recognition of Voiced Segments of Esophageal Speech
Author :
Mantilla, Alfredo ; Perez-Meana, H. ; Mata, Daniel ; Angeles, Carlos ; Alvarado, Jorge ; Cabrera, Laura
Author_Institution :
Departamento de Electronica, ITESM
Abstract :
This paper presents a system for analysis and recognition of voiced segments in Spanish esophageal speech. It exposes the mathematical fundaments for the voiced speech segments analysis algorithm, based in the formant extraction method as well as the recognition stage through the artificial neural networks. Simulation results are presented for normal and esophageal speech. The system was implemented in a real time processing platform based in a digital signal processor TMS320C5416 of Texas Instruments
Keywords :
digital simulation; feature extraction; natural languages; neural nets; speech processing; speech recognition; Spanish esophageal speech; artificial neural network; digital signal processor; digital simulation; formant extraction; voiced segment analysis; voiced segment recognition; Artificial neural networks; Esophagus; Hidden Markov models; Larynx; Pulse modulation; Signal synthesis; Speech analysis; Speech processing; Speech recognition; Speech synthesis;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
DOI :
10.1109/CERMA.2006.104
