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

A neural network and voiceprint recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as poor adaptability, achieve high recognition rate and stability, improve adaptability, improve adaptability and The effect of stability

Inactive Publication Date: 2012-11-28
CHONGQING UNIV
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AI Technical Summary

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 neura

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

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with accompanying drawing and specific embodiment

[0031] Such as figure 1 As shown, an optimal codebook design method for a neural network-based voiceprint recognition system includes:

[0032] S1: a step for voice signal input;

[0033] In the present embodiment, voice signal input is to utilize recording software Cool Edit to record a small voice database, wherein the sampling frequency is 8KHz, and the quantization bit is a section of wav file of 16bit, and it is a continuous voice irrelevant to voice and text. For improving the voice quality, use Cool Edit The Edit software removes the silent segment and attenuates the noise by 10dB;

[0034] S2: the step that the speech signal segment of input is preprocessed;

[0035] Preprocessing includes pre-emphasis and framing, where the framing adopts the overlapping segmentation method, the frame length is 256 (32ms), and the frame shift is ...

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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 ...

Claims

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Application Information

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IPC IPC(8): G10L15/02G10L17/00
Inventor 李勇明施忠继王品邹雪梅林
Owner CHONGQING UNIV
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