Automatic learning method, device, equipment and storage medium of a voice assistant
An automatic learning and voice assistant technology, applied in the field of information processing, can solve problems such as limited functions and training methods, poor user physical examination, etc., to achieve the effect of improving user experience, optimizing automatic learning ability, and optimizing automatic processing of user tasks.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0036] refer to figure 1 , Embodiment 1 of the present invention provides a training method for an automated assistant, characterized in that:
[0037] Step 101: Collect calling phone number information when calling in, classify and store the calling number, and set a calling number attribute matching relationship table for the calling number;
[0038] Step 102, collecting call voice information, and classifying and storing the voice information according to the calling phone number;
[0039] Step 103, identifying the voice information, distinguishing the dialogue subject, and marking the dialogue data in the voice information according to the phone number corresponding to the dialogue subject;
[0040] Wherein step 103 further includes: storing the marked dialogue data in the form of text in the incoming data resource database, wherein the calling phone number is used as the primary index, and the call end time of the incoming call by the calling party is used as the second ...
Embodiment 2
[0097] refer to image 3 , on the basis of Embodiment 1, Embodiment 2 provides an intelligent response method based on identity confirmation, wherein the method includes but is not limited to:
[0098] Step 301: Receive call information, and determine a calling phone number according to the call information;
[0099] Step 302: Acquire attribute information of the calling phone number according to the calling phone number;
[0100] Step 303, judge whether the attribute information of the calling phone number belongs to the first attribute classification; if the attribute information of the calling phone number belongs to the first attribute classification, execute step 305, if the attribute information of the calling phone number does not belong to the first attribute classification; belong to the first attribute classification, go to step 304;
[0101] Step 304, start a first timer, if the first timer times out and the user does not respond, step 305 is performed;
[0102] ...
Embodiment 3
[0127] refer to Figure 5 , On the basis of the foregoing embodiments, Embodiment 3 of the present invention further provides an automatic learning method for a voice assistant;
[0128] Step 501: Collect the called phone number information during the outgoing call, obtain the called number of the outgoing call, and determine the number attribute of the called number;
[0129] Step 502, storing the call voice information after the call is connected, and classifying and storing the call voice information according to the called phone number;
[0130] Step 503, identifying the voice information, distinguishing the dialogue subject, and marking the dialogue data in the voice information according to the phone number corresponding to the dialogue subject;
[0131] Step 504, query the application log to determine whether there is an application operation record and / or an application notification record within the first predetermined time range before the call start time; if there ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More