Optimal codebook design method for voiceprint recognition system based on nerve network

Abstract

The invention relates to an optimal codebook design method for a voiceprint recognition system based on a nerve network. The optimal codebook design method comprises following five steps: voice signal input, voice signal pretreatment, voice signal characteristic parameter extraction, three-way initial codebook generation and nerve network training as well as optimal codebook selection; MFCC (Mel Frequency Cepstrum Coefficient) and LPCC (Linear Prediction Cepstrum Coefficient) parameters are extracted at the same time after pretreatment; then a local optimal vector quantization method and a global optimal genetic algorithm are adopted to realize that a hybrid phonetic feature parameter matrix generates initial codebooks through three-way parallel algorithms based on VQ, GA and VQ as well as GA; and the optimal codebook is selected by judging the nerve network recognition accuracy rate of the three-way codebooks. The optimal codebook design method achieves the remarkable effects as follows: the optimal codebook is utilized to lead the voiceprint recognition system to obtain higher recognition rate and higher stability, and the adaptivity of the system is improved; and compared with the mode recognition based on a single codebook, the performance is improved obviously by adopting the voiceprint recognition system of the optimal codebook based on the nerve network.

Description

technical field [0001] The invention belongs to the voiceprint recognition technology in speech signal processing, in particular to an optimal codebook design method of a neural network-based voiceprint recognition system. Background technique [0002] Under the premise of today's information age, identification technology, one of the important components of information security, has brought new challenges. Due to the limitations of the algorithm and the improvement of hardware and software decryption technology, the traditional password recognition has shown its disadvantages. As one of the new identification technologies, voiceprint recognition technology, because of its unique convenience, economy and accuracy And other advantages, more and more people's attention. [0003] Voiceprint recognition is to extract the speaker's personality characteristics from a segment of the speaker's voice, and through the analysis and identification of personal characteristics, so as to ...

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Problems solved by technology

[0008] In order to overcome the defect that the system in the prior art uses a single technology to generate codebooks resulting in poor adaptability, the present invention proposes an optimal codebook design method for a voiceprint recognition system based on neural networks, which generates multiple codebooks simultaneously by using multiple algorithms. codebook, and then select the optimal codebook according to the recognition accuracy of multiple codebooks, so as to improve the adaptive ability and stability of the system

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