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A Speaker Recognition Method Based on Speech Feature Fusion and GMM

A speaker recognition and voice feature technology, applied in speech analysis, instruments, etc., can solve the problems of low speaker recognition accuracy and instability of the speaker recognition system, and achieve the effect of improving the accuracy.

Active Publication Date: 2021-11-26
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a speaker recognition method based on speech feature fusion and GMM in order to solve the technical problems that the accuracy rate of speaker recognition using a single speech parameter is not high and the speaker recognition system is unstable in the prior art

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  • A Speaker Recognition Method Based on Speech Feature Fusion and GMM
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  • A Speaker Recognition Method Based on Speech Feature Fusion and GMM

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] The present invention proposes a speaker recognition method based on speech feature fusion and GMM, which specifically includes the following five steps:

[0033] Step (1) Preprocessing of the original speech signal. The specific operation is as follows:

[0034] 1. Voice Segmentation: Use audio processing software to divide the 15-20 second long voice into 8 equal-length short voices. 2. Pre-emphasis: The pre-emphasis of the voice signal is realized by means of a first-order high-pass filter. The high-pass filter can filter out the low-frequency part of the signal and improve the frequency spectrum of the high-frequency part of the signal. Its transfer function is expressed as: H(z)=1-αz -1 , α is the pre-emphasis coefficient, generally between 0.9-1. 3. Frame division and windowing: Since the voice signal has short-term stability, it is necessary...

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Abstract

The invention relates to a speaker recognition method based on speech feature fusion and GMM. The present invention first obtains new speech feature parameters by fusing different types of speech feature parameters, and uses the new feature parameters for the training of the recognition model, and in the process of establishing the recognition model, two Gaussian mixture models are combined by a threshold function In series, the recognition model is optimized. The invention extracts new speech feature parameters which have the respective advantages of various types of speech feature parameters, can better show the speaker's personality characteristics, and connect two Gaussian mixture models in series for recognition through a threshold function. Compared with a single Gaussian mixture model, Improved speaker recognition accuracy.

Description

technical field [0001] The invention belongs to the technical field of speech recognition, in particular to a speaker recognition method based on speech feature fusion and GMM. Background technique [0002] With the advent of the information and digital age, people's demand for highly reliable identity authentication technology is also increasing. Traditional identity authentication technology usually adopts password authentication method, which is seriously insufficient in security. Now, with the rapid development of biotechnology and information technology, speaker authentication technology is a more advanced and convenient information security technology. Began to be widely used in people's life. Due to the different congenital physiological differences of each person's vocal organs (such as the shape of the vocal cords) and acquired behavioral differences such as differences in speaking habits, each person's voice is different. These differences exist in some form in t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L17/02G10L17/10G10L17/06G10L17/04
CPCG10L17/02G10L17/04G10L17/06G10L17/10
Inventor 张桦戴美想戴国骏吴以凡沈方瑶商吉利
Owner HANGZHOU DIANZI UNIV