An Intelligent System Based on Discrete Cosine Transform for Speech Recognition

摘要

This paper proposes a genetic-fuzzy system for speech recognition. In addition to pre-processing, with mel-cepstral coefficients, the Discrete Cosine Transform (DCT) is used to generate a two-dimensional time matrix 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. The speech recognition system used in this paper was named Hybrid Method Genetic-Fuzzy Inference System for Speech Recognition (HMFE).