DocumentCode :
727925
Title :
Different strategies in the development of ANFIS to recognize vowels
Author :
Valencia-Jimenez, Jesus Julian ; Fernandez-Caballero, Antonio
Author_Institution :
Inst. de Investig. en Inf. de Albacete, Univ. de Castilla-La Mancha, Albacete, Spain
fYear :
2015
fDate :
17-20 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
This document is the result of a first approach to recognizing vowels through using Adaptive Neuro-Fuzzy Inference Systems (ANFIS), applying different strategies to train these systems. The tests perform with data from a same speaker used for training and checking; also from another speaker with different gender for checking. Training data are established minimally. Different strategies are applied and the use of cloning with variation of data is verified. The results provide a comparison of different strategies to improve vowel recognition on a specific speaker who trained the system, and another speaker of different gender who did not participate during the training of the system.
Keywords :
fuzzy neural nets; fuzzy reasoning; gender issues; natural language processing; speaker recognition; ANFIS development; adaptive neuro-fuzzy inference systems; speaker gender; speaker recognition; vowel recognition; Adaptive systems; Artificial neural networks; Hidden Markov models; MATLAB; Mathematical model; Silicon compounds; Training; ANFIS; neuro-fuzzy systems; speaker recognition; speech processing; speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on
Conference_Location :
Aveiro
Type :
conf
DOI :
10.1109/CISTI.2015.7170607
Filename :
7170607
Link To Document :
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