Recognition method and system based on dual voice signal verification, terminal and medium
A voice signal and recognition method technology, applied in the field of network security, can solve the problems of the speech recognition verification success rate needs to be further improved, the loss of voice recognition verification success, etc., to achieve the effect of security monitoring and enhancement of the success rate
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Embodiment 1
[0039] Embodiment 1: Identification method based on double voice signal verification, such as figure 1 shown, including the following steps:
[0040]S1: Match and analyze the real-time voice data after preprocessing with the registered voice data in the registration database; if the similarity between the real-time voice data and the registered voice data is not less than the set threshold, the first-time matching verification is successful; if the real-time voice data is not less than the set threshold If the similarity with the registered voice data is less than the set threshold, then generate an information window for the user to input information;
[0041] S2: Obtain at least one influence factor information of the user's subjective cognition through the information window, and retrieve the corresponding trained voice characteristic correction parameters from the training database according to all the influence factor information;
[0042] S3: correcting the voice charac...
Embodiment 2
[0051] Embodiment 2: Recognition system based on double voice signal verification, such as figure 2 As shown, the system is used to implement the method described in Embodiment 1, and includes a first verification module, a parameter retrieval module, a data correction module, a second verification module and a non-voice verification module.
[0052] Among them, the first verification module is used for matching and analyzing the real-time voice data after preprocessing with the registered voice data in the registered database; if the similarity between the real-time voice data and the registered voice data is not less than the set threshold, then a matching The verification is successful; if the similarity between the real-time voice data and the registered voice data is less than the set threshold, an information window for the user to input information is generated. The parameter retrieval module is used to obtain at least one influence factor information of the user's sub...
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