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In this paper, the implementation of a Support Vector Machine (SVM) is proposed based on automatic system for voice biometric authentication, recognizing the speaker using Mel-Frequency Cepstral Coefficients and the Discrete Cosine Transform. The voice recognition problem can be modeled as a classification problem, where the objective is to obtain the best degree of separability between the classes...
The problem of speech recognition could be considered a classification problem and modeled as such, where one wants to get the best degree of separability between classes representing the voice. In order to apply that concept to build an automated speech recognition system capable of identifying the speaker, many techniques using artificial intelligence and general classification have been developed,...
The speech recognition problem can be modeled as a classification problem, where one wants to get the best degree of separability between classes representing the voice. In order to apply that concept to build an automated speech recognition system capable of identifying the speaker, many techniques using artificial intelligence and general classification have been developed, which lead to this paper...
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