@inproceedings{18ec11b142ea483e9b47d34513553609,
title = "Analysis and recognition of esophageal speech",
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 = "Esophageal speech, Feature extraction, Neural networks, Voiced and unvoiced classification, Wavelet transform",
author = "Alfredo Mantilla and H{\'e}ctor P{\'e}rez-Meana and Jorge Trevi{\~n}o and Patricia Ortal",
year = "2006",
doi = "10.1109/ISSPIT.2006.270778",
language = "Ingl{\'e}s",
isbn = "0780397541",
series = "Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "101--106",
booktitle = "Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006",
address = "Estados Unidos",
note = "6th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006 ; Conference date: 27-08-2006 Through 30-08-2006",
}