Voice Activity Detection Algorithm based on Improved Radial Basis Function Neural Network

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
Voice Activity Detection (VAD) is the key of voice recognition, voice synthesis and speech-sound enhancement. For the sake of improve the accuracy and robustness of speech endpoint detection system. Combining the advantages of Adaptive Genetic Algorithm (AGA) and improved Radial Basis Function network (RBF) defects in existing learning methods. This paper presents a comprehensive detection method - Adaptive genetic algorithm radial basis function network. This method uses adaptive genetic algorithm to simultaneously optimize the center, the width and the structure of RBF network.
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