Multi-precision-fitting-based automatic detection method for copied sample voice

A technology of automatic detection and voice detection, applied in voice analysis, instruments, etc., can solve the problems of low efficiency and achieve the effect of improving safety

Active Publication Date: 2016-09-14
ZHEJIANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The recognition effect of this method is good, but the recognition process needs to be matched with all sample voices in the database, and the efficiency is very low

Method used

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  • Multi-precision-fitting-based automatic detection method for copied sample voice
  • Multi-precision-fitting-based automatic detection method for copied sample voice
  • Multi-precision-fitting-based automatic detection method for copied sample voice

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Embodiment Construction

[0028] The invention provides a method for automatic detection of sample duplication speech based on multi-precision fitting, as shown in the attached figure 1 As shown, it is divided into a training phase and a testing phase. The training phase is performed after the sample speech feature extraction, and the testing phase is performed after the voiceprint recognition task. Specifically, the following steps are included:

[0029] 1) collect the sample voice of the target speaker, extract the features of all sample voices, and establish a sample voice feature library;

[0030] 2) Use the feature files in the sample speech feature library to train the speech recognition model of the target speaker sample and copy the speech detection model of the target speaker sample; set different model parameters when training the model to increase the fitting accuracy of the system, and save these models separately , for sample speech detection;

[0031] 3) Input the test voice, extract th...

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Abstract

The invention relates to the voice detection field, especially to a multi-precision-fitting-based automatic detection method for a copied sample voice. The method comprises: S1, a voice feature base is established; S2, a target speaker identification model is trained; S3, a sample copied voice detection model is trained; S4, speaker identification is carried out; and S5, sample copied voice detection. According to the automatic detection method, a phenomenon that a fake user obtains a copied sample voice for a vocal print identification system training model and then tries to invoke a server side interface directly instead of carrying out voice testing collection so as to submit the copied sample voice to the server side of the vocal print identification system directly for intrusion can be avoided; and thus security of the vocal print identification system can be improved.

Description

technical field [0001] The invention relates to the field of speech detection, in particular to a method for intrusion detection of sample duplication speech based on variable precision fitting. Background technique [0002] With the development of Internet technology, voiceprint recognition technology has been widely used in industries such as public security investigation, voiceprint control, electronic finance, smart home and other fields. At the same time, the speaker recognition system is facing the threat of front-end attacks and security issues such as transmission and storage, which restricts its application and development to a certain extent. The sample copied speech is almost identical to the training sample, with the same speech rate, text, background noise, energy features, etc., and is very close in phoneme space. In the application scenario of the voiceprint recognition system, especially in the increasingly fast-growing network applications, through some net...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/04G10L17/14G10L17/06G10L17/02G10L25/51
CPCG10L17/02G10L17/04G10L17/06G10L17/14G10L25/51
Inventor 杨莹春孙永坤吴朝晖
Owner ZHEJIANG UNIV
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