Method and system for acquiring voice data

A voice data and voice technology, applied in the field of voice data acquisition, can solve problems such as no solutions have been proposed, achieve the effect of enhancing specificity and security, reducing training burden, and wide application range
CN108510981BActive Publication Date: 2020-07-24SAMSUNG ELECTRONICS CHINA R&D CENT +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SAMSUNG ELECTRONICS CHINA R&D CENT
Publication Date
2020-07-24

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Abstract

The present invention provides a method and system for acquiring voice data, including: when a user makes a voice call, save the voice data stream transmitted in real time in the intelligent terminal system, save the input voice data stream of the microphone as the first voice data, and turn the handset The output voice data stream of the output voice data stream is saved as the second voice data; detect whether the first voice data and the second voice data meet the training requirements of the voice recognition model, if so, continue to judge whether the first voice data is from the application object of the voice recognition model, if so, pass Mark the first voice data as voice data for application, mark the second voice data as voice data for non-application; if not, mark the first voice data and the second voice data as voice data for non-application. Based on the method of the present invention, by improving the voice acquisition method, the burden of training the voice recognition model for the user is reduced, and the user experience is improved.
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Description

technical field

[0001] The invention relates to the field of artificial intelligence, in particular to a method and system for acquiring voice data. Background technique

[0002] Mobile terminal speech recognition is divided into two categories: semantic recognition and speaker recognition

[0003] Speaker recognition is often called voiceprint recognition. It is generally divided into two types: text-dependent and text-independent.

[0004] Text-related speech recognition usually requires the user to repeat the fixed words and sentences 2-3 times. To record the relevant characteristic information as registration (Enroll). When in use, the user is also required to read the same fixed words and phrases for speech discrimination (Predict).

[0005] Non-text-related speech recognition does not require the user to follow a fixed sentence. Users input a large amount of voice data as machine learning training (Train), and the user's feature information is highly purified unde...

Claims

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