CPSO Applied in the Optimization of a Speech Recognition System

摘要

This paper proposes an optimization of a fuzzy inference system for the automatic recognition of numerical commands of voice using Chaotic Particle Optimization (CPSO). In addition preprocessing the speech signal with mel-frequency cepstral coefficients, we use the discrete cosine transform (DCT) to generate a two-dimensional temporal matrix used as input to a system of fuzzy implication to generate the pattern of the words to be recognized.