Title :
Proposal of an Intelligent Speech Recognition System
Author :
Silva, Washington Luis Santos ; de Oliveira Serra, Ginalber Luiz
Author_Institution :
Lab. of Eletronics Instrum., Fed. Inst. of Maranhao-IFMA, Säo Luis, Brazil
Abstract :
The concept of fuzzy sets and fuzzy logic is widely used to proposal of several methods applied to systems modeling, classification and pattern recognition problem. This paper proposes a genetic-fuzzy system for extraction of low-order features for speech recognition application. In addition to pre-processing, with mel-cepstral coefficients, the Discrete Cosine Transform (DCT) is used to generate a two-dimensional time matrix with the features of low-order for each pattern to be recognized. A genetic algorithm is used to optimize a Mamdani fuzzy inference system in order to obtain the best model for final recognition.
Keywords :
cepstral analysis; discrete cosine transforms; fuzzy logic; fuzzy reasoning; fuzzy set theory; genetic algorithms; signal classification; speech recognition; DCT; Mamdani fuzzy inference system; classification; discrete cosine transform; fuzzy logic; fuzzy set; genetic algorithm; genetic-fuzzy system; intelligent speech recognition system; low-order feature extraction; mel-cepstral coefficient; pattern recognition problem; systems modeling; two-dimensional time matrix; Discrete cosine transforms; Genetic algorithms; Hidden Markov models; Speech; Speech recognition; Training; Discrete Cosine Transform; Fuzzy Systems; Genetic Algorithm; Speech Recognition;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.106
