Anti-fraud method and anti-fraud hearing aid based on voice recognition
A speech recognition and speech recognition model technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of fraud judgment, lack of speech recognition function, old people falling into the trap of fraudsters, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0064] Such as figure 1 , the present invention provides a kind of anti-fraud method based on speech recognition, and described method comprises steps:
[0065] S1: Obtain the call content through the hearing aid.
[0066] In this step, the content of the call between the user and the call partner is acquired through the hearing aid, so as to facilitate subsequent analysis and judgment of the call content.
[0067] S2: Using the classifier on the hearing aid to analyze the call content.
[0068] In this step, a classifier is preset on the hearing aid, and a preset speech recognition model is pre-stored in the classifier, and the classifier compares with the preset speech recognition model after acquiring the call content. Among them, there are at least two preset speech recognition models, which are: fraud call content model and marketing call content model, and the classifier compares each call content obtained with all preset speech recognition models in turn, so as to obtai...
Embodiment 2
[0080] In the embodiment of the present application, after the classifier on the hearing aid is used to analyze the call content, a step is further included:
[0081] judging whether the call content triggers a preset keyword;
[0082] When a preset keyword is triggered, the classifier judges it to be similar to the preset speech recognition model;
[0083] When the preset keyword is not triggered, the classifier judges it as normal content.
[0084] In the embodiment of the present application, considering that at some point, the hearing aid may acquire more call content, if compared with the preset speech recognition model one by one, it will increase the amount of data processing, you can first use the hearing aid The classifier performs keyword judgment after analyzing the call content.
[0085] For example, if the keywords are "money" and "payment", when these keywords appear in the call content, you can directly enter the step of making similar judgments between the cl...
Embodiment 3
[0087] In the embodiment of the present application, after the judging that the call content is promotional content or fraudulent content, further steps are included:
[0088] Judging whether the voice of the call content is similar to the preset family member voiceprint database;
[0089] When it is judged that the two are similar, it is judged that the content of the call is normal;
[0090] When it is judged that the two are not similar, continue to judge that the call content is a promotional content or a fraudulent content.
[0091] In the embodiment of the present application, the voiceprint library of family members can be stored in the hearing aid in advance. When it is judged as fraud or sales promotion, it can be compared with the voice in the voiceprint library of family members. If it is the voice of a family member, the fraud or suspicion of marketing. This operation can prevent the embarrassing situation when discussing some high-frequency words such as "money"...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com