Method and device for determining optimal verbal skill sequence and storage medium

A storage medium and speech technique technology, which is applied in the field of determining the optimal speech sequence, and can solve the problem of low accuracy of speech prediction

Pending Publication Date: 2022-02-22
北京有限元科技有限公司
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  • 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 an optimal speech sequence, so as to at least solve the existing speech prediction method existing in the prior art by default, all calls can go to the final node, because The possibility of hanging up in the middle of the game is not taken into account, which makes the predicted speech sequence not the optimal result, resulting in a technical problem of low accuracy of speech speech prediction

Method used

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  • Method and device for determining optimal verbal skill sequence and storage medium
  • Method and device for determining optimal verbal skill sequence and storage medium
  • Method and device for determining optimal verbal skill sequence and storage medium

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Embodiment 1

[0022] According to this embodiment, an embodiment of a method for determining an optimal speech sequence 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, Also, 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.

[0023] The method embodiments provided in this embodiment can be executed in a server or similar computing devices. figure 1 A hardware structural block diagram of a computing device for implementing the method for determining an optimal speech sequence is shown. like 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 for com...

Embodiment 2

[0075] Image 6 It shows the device 600 for determining the optimal speech sequence according to this embodiment, the optimal speech sequence includes the optimal speech skills corresponding to each speech node interacting with the target user, the device 600 is the same as that according to the implementation The method described in the first aspect of Example 1 corresponds. refer to Image 6 As shown, the device 600 includes: a first determining module 610, for determining the user characteristic information and dialing information of the target user; a second determining module 620, for using a pre-trained prediction model, according to the user characteristic information and dialing information, respectively determine The predicted hang-up rate and the predicted hang-up conversion rate of each speech in a plurality of speech sequences, wherein the speech corresponding to each speech node constitutes a plurality of speech sequences; and the third determination module 630 i...

Embodiment 3

[0083] Figure 7 It shows the device 700 for determining the optimal speech sequence according to this embodiment, the optimal speech sequence includes the optimal speech skills corresponding to each speech node interacting with the target user, the device 700 and the optimal speech sequence according to the implementation The method described in the first aspect of Example 1 corresponds. refer to Figure 7 As shown, the device 700 includes: a processor 710; and a memory 720, connected to the processor 710, used to provide the processor 710 with instructions for processing the following processing steps: determine the user characteristic information and dialing information of the target user; use pre-trained According to the user characteristic information and interaction process information, respectively determine the predicted hang-up rate and predicted hang-up conversion rate of each script in multiple script sequences and the interactive process information of interacting...

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PUM

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Abstract

The invention discloses a method and device for determining an optimal verbal skill sequence and a storage medium. The method comprises the following steps: determining user feature information and dialing information of a target user; by utilizing a pre-trained prediction model, according to the user feature information and the dialing information, respectively determining a predicted hang-up rate and a predicted hang-up conversion rate of each verbal skill in the plurality of verbal skill sequences and interaction process information of interaction with the target user, wherein the interaction process information comprises a current verbal skill sequence interacting with the target user, a verbal skill subsequence interacting with the target user and a subsequent verbal skill sequence interacting with the target user; forming a plurality of verbal skill sequences by verbal skill corresponding to each verbal skill node; and determining an optimal verbal skill sequence interacting with the target user according to the predicted hanging-up rate and the predicted hanging-up conversion rate of each verbal skill in the plurality of verbal skill sequences.

Description

technical field [0001] The present application relates to the technical field of speech prediction, in particular to a method, device and storage medium for determining an optimal speech sequence. Background technique [0002] Due to the development of artificial intelligence technology, many voice communication systems through robots and people have appeared, especially in voice interaction scenarios such as voice customer service, smart telemarketing, smart collection, and smart speakers. [0003] When the robot can communicate with human voice, how to improve the communication effect becomes a difficult point (for example, in the intelligent reminder, how to improve the efficiency of the robot reminder). The main speech optimization solution in the existing technology is mainly by predicting the conversion rate of each speech, but in the process of predicting the conversion rate, all calls can go to the final node by default, so the prediction is the shortest call that ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06Q10/04G06Q30/02
CPCG06F16/3329G06Q10/04G06Q30/0201G06Q30/0202
Inventor 罗欢陈实吴海英王洪斌蒋宁权圣关力
Owner 北京有限元科技有限公司
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