Proposal of an Intelligent Speech Recognition System
Washington Luis Santos Silva, Ginalber Luiz de Oliveira Serra · 2012
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.