Abstract

 
 
 GAVIS (Genetic Algorithm based Voice Imitation System), [1], is a system whose purpose is to find a set of effects to imitate voice signals. The system is based on Genetic Algo- rithms and Fourier Transforms. Although GAVIS proves to be effective, some deficiencies were found, and amongst them was the execution speed of the system. It is to improve such deficiencies that a new version of the system was designed and implemented. In this paper, we present the foundations for GAVIS’ construction and a new and improved design and implementation of GAVIS (J-GAVIS) and describe its new features.
 
 
Highlights
Speech recognition and speech processing are subjects that are actively researched nowadays and that are intimately related to the use of voice signals
Voice signals were used for several calculations and the Discrete Fourier Transform was key in offering a representation to manipulate such signals
The work here presented consists in a description of the implementation of a model that uses heuristic search methods to find the audio effects needed for the aforementioned transformation and its subsequent improvement
Summary
Speech recognition and speech processing are subjects that are actively researched nowadays and that are intimately related to the use of voice signals. Solving the problem has several practical applications, for example: It can be used to dub films as to turn the voice of the dubbing actor into the voice of the original actor It can be used in advertising, if the voice of a specific person is needed but this person is unavailable. The work here presented consists in a description of the implementation of a model that uses heuristic search methods to find the audio effects needed for the aforementioned transformation and its subsequent improvement.
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