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Speaker recognition method and device

A speaker recognition and speaker technology, applied in the field of speaker recognition methods and devices, can solve problems such as poor speaker recognition test performance, and achieve the effect of improving system performance

Active Publication Date: 2014-11-26
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0007] The purpose of the embodiments of the present invention is to provide a speaker recognition method based on JFA speaker supervector non-parametric distinction, to solve the prior art based on the joint factor analysis method of GMM-UBM model, to test the performance of speaker recognition bad question

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific examples described here are only used to explain the present invention, not to limit the present invention.

[0029] In view of the joint factor analysis JFA theory acting on the Gaussian mixture model-universal background model GMM-UBM system can achieve a good mismatch compensation effect, so this application will apply the mismatch compensation method based on joint factor analysis to the non-parametric Discriminative Analysis Techniques in Speaker Verification Systems. We extract the speaker’s GMM supervector that removes the influence of part of the channel information, that is, the JFA speaker supervector, as a new feature expression representing speaker information. In this way, each speaker’s speech o...

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Abstract

The invention is applicable to the field of speaker recognition, and provides a speaker recognition method and device. The method includes the steps that a JFA speaker supervector is extracted, and the JFA speaker supervector is a GMM supervector, wherein channel information influences are removed through a joint factor analysis method; segmentation is conducted on the extracted JFA speaker supervector, and the JFA speaker supervector is divided into multiple sub-vector sets; nonparametric distinction analysis is conducted on the sub-vector sets to establish a sub-space speaker model; a reference vector of a speaker to be recognized and a reference vector of a training sample speaker are obtained according to the sub-space speaker model so as to conduct speaker recognition. Compared with the prior art, the speaker recognition method and device are small in operation quantity and simple in test data collection, and recognition performance is improved.

Description

technical field [0001] The invention belongs to the field of speech recognition, in particular to a speaker recognition method and device. Background technique [0002] With the continuous advancement of computer technology and Internet technology, smart devices have become more and more indispensable in people's lives. As one of the interaction methods between humans and smart devices, voice interaction has also become a hot research field because of its characteristics such as easy collection, easy storage, difficult imitation, and low cost of voice acquisition. [0003] The current intelligent voice processing methods are mainly divided into: Speech Recognition, Language Recognition and Speaker Recognition according to the different voice information used. Among them, the goal of speech recognition is to determine what kind of semantic information is conveyed in the speech signal; the goal of language recognition is to identify the language type or dialect type to which ...

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Application Information

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IPC IPC(8): G10L17/04G10L17/02
Inventor 李志锋李娜乔宇
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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