Voiceprint identification method based on multi-type combination characteristic parameters

A technology that combines features and voiceprint recognition. It is used in digital data authentication, voice analysis, instruments, etc., and can solve problems such as low recognition accuracy and unstable voiceprint recognition system.

Active Publication Date: 2015-08-12
大连汇能云控科技有限公司
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Problems solved by technology

[0007] The present application provides a voiceprint recognition method based on multi-type combination feature parameters, which includes the following steps: voice signal collection and input, voice signal preprocessing, and voice signal combination feature parameter extraction: that is, extracting MFCC, LPCC, △MFCC, △ LPCC, energy, the first-order difference of energy, and GFCC feature parameters together form a multidime

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  • Voiceprint identification method based on multi-type combination characteristic parameters
  • Voiceprint identification method based on multi-type combination characteristic parameters
  • Voiceprint identification method based on multi-type combination characteristic parameters

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[0095] Example

[0096] A voiceprint recognition method based on multiple types of combined feature parameters is characterized in that it includes the following steps:

[0097] S1: Acquisition and input of voice signals;

[0098] S2: pre-processing of voice signals, including pre-emphasis, framing and windowing;

[0099] S3: Speech signal combination feature parameter extraction: Extract MFCC, LPCC, △MFCC, △LPCC, energy, first-order difference of energy, and GFCC feature parameters to form a multi-dimensional feature vector, where: MFCC is the Mel frequency cepstrum coefficient, and LPCC is Linear prediction cepstrum coefficient, △MFCC is the first-order difference of MFCC, △LPCC is the first-order difference of LPCC, and GFCC is the cepstrum coefficient of Gammatone filter;

[0100] S4: Use genetic algorithm to screen the multi-dimensional feature vectors in step S3, use the medium error rate EER in the GMM-UBM recognition process as the evaluation function, and select the feature ve...

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Abstract

The invention discloses a voiceprint identification method based on multi-type combination characteristic parameters, and the method comprises the following steps: the collecting and inputting of voice signals; the preprocessing of voice signals; the extracting of combination characteristic parameters of the voice signals: the extracting of a multi-dimensional feature vector of MFCC, LPCC, delta MFCC, delta LPCC, energy, first difference of energy and GFCC characteristic parameters; the screening of the multi-dimensional feature parameters through a genetic algorithm; the obtaining a voice model of a speaker through the introduction of a universal background model UBM; and the recognition of test voice through a GMM-UBM model at last. Compared with a voiceprint identification method for single voice signal characteristic parameter, the method effectively improves the recognition accuracy and system stability of voiceprint recognition.

Description

technical field [0001] The invention relates to the field of voice signal processing, in particular to a voiceprint recognition method based on multi-type combination feature parameters. 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 rise of hardware and software decryption technology, the traditional password identification has shown its disadvantages. As one of the new technologies of identification, voiceprint recognition technology has attracted more and more attention because of its unique advantages of convenience, economy and accuracy. [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 achieve the purpose of identifying or con...

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Application Information

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IPC IPC(8): G10L17/02G10L17/04G10L25/39G06F21/32
Inventor 李勇明谢文宾王品刘玉川徐莎
Owner 大连汇能云控科技有限公司
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