TY - GEN
T1 - Isolate speech recognition based on time-frequency analysis methods
AU - Mantilla-Caeiros, Alfredo
AU - Miyatake, Mariko Nakano
AU - Perez-Meana, Hector
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Feature extraction
KW - Inner ear model; isolate speech recognition
KW - Time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=78651226978&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10268-4_35
DO - 10.1007/978-3-642-10268-4_35
M3 - Contribución a la conferencia
SN - 3642102670
SN - 9783642102677
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 297
EP - 304
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings
T2 - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009
Y2 - 15 November 2009 through 18 November 2009
ER -