Isolate Speech Recognition Based on Time-Frequency Analysis Methods

Authors:
Alfredo Mantilla-Caeiros;Mariko Nakano Miyatake;Hector Perez-Meana
Affiliations:
Intituto Tecnologico de Monterrey, Mexico;ESIME Culhuacan, Instituto Politécnico Nacional, Mexico, Mexico 04430;ESIME Culhuacan, Instituto Politécnico Nacional, Mexico, Mexico 04430
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

A feature extraction method for isolate speech recognition is proposed, which is based on a time frequency analysis using a critical band concept similar to that performed in the inner ear model; which emulates the inner ear behavior by performing signal decomposition, similar to carried out by the basilar membrane. Evaluation results show that the proposed method performs better than other previously proposed feature extraction methods when it is used to characterize normal as well as esophageal speech signal.