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Voiceprint authentication system and method for rapid channel compensation

A channel compensation and authentication system technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of long training and testing time, limiting factor analysis application, limiting application, etc., to improve system performance, improve training and testing speed , the effect of training and testing speed improvements

Inactive Publication Date: 2011-07-20
SHENGLE INFORMATION TECH SHANGHAI
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Problems solved by technology

[0005] However, the mismatch compensation based on the factor analysis method needs to estimate the EM statistics of all the mixing degrees of the speech parameters of each frame to the UBM. Compared with the feature mapping method, the calculation amount is too large, and the training and testing time is very long, which limits its practical application. application in
Table 1 compares the results of the baseline system and the voiceprint authentication system using factor analysis. The system using factor analysis solves the mismatch between training and test environments and channels, and its false recognition rate is reduced from 8.94% to 3.76%. , but the average time required is increased from 1.26 seconds to 9.53 seconds, which limits the application of factor analysis in practical applications

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  • Voiceprint authentication system and method for rapid channel compensation

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Embodiment Construction

[0023] The present invention proposes a mismatch compensation method that combines factor analysis and Gaussian selection (Gaussian selection) method, uses a Gaussian selector to select the mixing degree of UBM for each frame vector, and only calculates EM (zero-order or first-order) statistics The quantity contributes a large degree of mixing, which reduces the calculation amount of calculating EM statistics. While achieving mismatch compensation, the amount of calculation is significantly reduced, and the training speed is increased by 10 times, while the performance hardly drops significantly.

[0024] figure 1 Shown is a frame of speech observation vector o t The posterior probability output γ(o t ). Depend on figure 1 It can be seen that the posterior probability output of the speech vector is relatively large only for the Gaussian component that is relatively close to its distribution in the space, and the posterior probability of the mixing degree that is far away i...

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Abstract

The invention discloses a voiceprint authentication system for rapid channel compensation, which comprises a Gaussian selector, a universal background model (UBM) mixing degree selection module, a speaker factor or channel factor module, a UBM and a speaker model, wherein the Gaussian selector is used for classifying each Gaussian component of the UBM; the UBM mixing degree selection module is used for selecting mixing degree at a relatively shorter distance to calculate zero-order or first-order statistic for each frame of observation vectors of training data by utilizing the Gaussian selector; and the speaker factor or channel factor module is used for estimating a speaker factor or channel factor according to the zero-order or first-order statistic, and establishing the speaker model according to the speaker factor or channel factor. In addition, the invention also discloses a voiceprint authentication method for the rapid channel compensation. By the system and the method, mismatching compensation is realized, and simultaneously a calculated amount is remarkably reduced, thereby remarkably increasing the training speed.

Description

technical field [0001] The invention relates to a voiceprint authentication system, in particular to a voiceprint authentication system with fast channel compensation; in addition, the invention also relates to a voiceprint authentication method with fast channel compensation. Background technique [0002] Voiceprint recognition (Voiceprint recognition), also known as Speaker Recognition (Speaker Recognition), is a technology that automatically identifies the speaker's identity based on the voice parameters in the voice waveform that reflect the speaker's physiological, psychological and behavioral characteristics. Due to the difference in the structure of the congenital vocal tract and the difference in the acquired pronunciation habits, each person's voice is unique. According to this uniqueness, the identity of the person can be accurately distinguished. [0003] In the voiceprint authentication (or voiceprint recognition) system, the mismatch between the training voice a...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/10G10L17/04
Inventor 黄伟
Owner SHENGLE INFORMATION TECH SHANGHAI
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