Affiliation:
1. Dumlupinar University, Turkey
Abstract
Understanding the mechanism of speech generation is critical to successful coding of the speech signal. In this study, first of all, what speech coding is, its purposes, usage areas, classification of speech coding according to some features and techniques are given. In addition, in this study, a voice coding study was carried out to increase the speech quality on Turkish voice data with a multi-purpose genetic-based speech coding method. In the multi-objective genetic algorithm method, a coding gain optimizing parameter is used to improve the quality of at least two lost audio data. By combining fuzzy logic and genetic algorithm, the authors proposed a new hybrid model and increased the sound quality compared to other methods. In addition, the solutions that provide the best match for frequency selection are obtained with the fitness function. This proposed system is also compared with the wavelet audio coding methods that are frequently used in audio coding. The results obtained showed that the system obtained by the hybrid model was more successful.