Verbal skill determination method and device and storage medium

Pending Publication Date: 2021-10-22
北京有限元科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present disclosure provide a method, device, and storage medium for determining speech, so as to at least solve the problem in the prior art that the content of smooth speech in the process of robot voice interaction is relatively fixed and flexible, so it cannot be easily solved. Good technical issues that respond to negative user sentiment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Verbal skill determination method and device and storage medium
  • Verbal skill determination method and device and storage medium
  • Verbal skill determination method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] According to this embodiment, an embodiment of a method for determining utterances is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0024] The method embodiments provided in this embodiment can be executed in mobile terminals, computer terminals, servers or similar computing devices. figure 1 A hardware structural block diagram of a computing device for implementing a method for determining a utterance is shown. Such as figure 1 As shown, the computing device may include one or more processors (processors may include but not limited to processing devices such as microprocessors MCUs or programmable logic devices FPGAs), memory for storing data, and memory f...

Embodiment 2

[0086] Figure 7 The device 700 for determining utterance according to this embodiment is shown, and the device 700 corresponds to the method according to the first aspect of Embodiment 1. refer to Figure 7As shown, the device 700 includes: a first emotion determination module 710, configured to determine the first emotion category generated by the interactive object for the interaction intention, wherein the first emotion category is divided into a positive emotion category and a negative emotion category; a speech determination module 720 , used to determine the target words used to reply the interactive object from the words set corresponding to the first emotion category when the first emotion category belongs to the negative emotion category, wherein each word in the words set corresponds to The revenue value calculated by the machine learning algorithm; and the audio interaction module 730, configured to use the first audio corresponding to the target speech to reply t...

Embodiment 3

[0095] Figure 8 An apparatus 800 for determining utterances according to this embodiment is shown, and the apparatus 800 corresponds to the method according to the first aspect of Embodiment 1. refer to Figure 8 As shown, the apparatus 800 includes: a processor 810; and a memory 820, connected to the processor 810, for providing the processor 810 with instructions for processing the following processing steps: determining the first emotion category generated by the interactive object for the interaction intention, wherein The first emotion category is divided into a positive emotion category and a negative emotion category; in the case that the first emotion category belongs to a negative emotion category, determine the target words for replying to the interactive object from the set of words corresponding to the first emotion category, wherein Each utterance in the utterance set corresponds to a revenue value calculated by a machine learning algorithm; and the first audio ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a verbal skill determination method and device and a storage medium. The method comprises the steps of determining a first emotion category generated by an interaction object for an interaction intention, wherein the first emotion category is divided into a positive emotion category and a negative emotion category; under the condition that the first emotion category belongs to the negative emotion category, determining a target verbal skill used for replying the interaction object from a verbal skill set corresponding to the first emotion category, wherein each verbal skill in the verbal skill set corresponds to a revenue value calculated by a machine learning algorithm; and replying the interaction object by using the first audio corresponding to the target verbal skill.

Description

technical field [0001] The present application relates to the technical fields of the Internet and machine learning, and in particular to a method, device and storage medium for determining speech. Background technique [0002] Speech robot based on speech skills is the main technical solution of task-based voice robots, that is, through the refinement and configuration of task speech skills, the robot can make voice conversations with users according to fixed speech skills, and manage limited branch speech skills according to user feedback. The ultimate goal is to achieve a specific communication goal. [0003] To make voice robots communicate with users more naturally, last longer, and have a higher probability of completing tasks, the robot needs to deal with user feedback accordingly. For example, the user's negative emotional expression, the user's negative emotion towards the robot's speech, needs the robot to give corresponding soothing speech, so that the user's emo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/04G10L17/22G10L25/63G06N20/00
CPCG10L17/04G10L17/22G10L25/63G06N20/00
Inventor 乔宏利杨春勇靳丁南权圣
Owner 北京有限元科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products