Method and device for determining verbal skill sequence and storage medium
A language and sequence technology, applied in the field of intelligent voice calls, can solve the problems of slow experiment cycle, evaluation, and inability to make offline indicators, and achieve the effect of accurate prediction results and short experiment cycle.
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Embodiment 1
[0022] According to this embodiment, an embodiment of a method for determining a utterance sequence is provided. It should be noted that the steps shown in the flow charts of the 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.
[0023] 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 sequence 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 m...
Embodiment 2
[0123] Figure 8 An apparatus 800 for determining a speech sequence 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 first determination module 810, configured to determine user characteristic information of the target user and interaction process information for interacting with the target user, wherein the interaction process information includes: the current speech sequence for interacting with the target user , the subsequence of the current speech sequence, the subsequent speech sequence set interacting with the target user, and the subsequent speech parent node index information corresponding to the subsequent speech sequence set; and the second determination module 820 is used to use the pre-trained The optimal speech sequence prediction model determines the optimal speech sequence for interacting with the target user based on ...
Embodiment 3
[0131] Figure 9 An apparatus 900 for determining a utterance sequence according to this embodiment is shown, and the apparatus 900 corresponds to the method according to the first aspect of Embodiment 1. refer to Figure 9 As shown, the device 900 includes: a processor 910; and a memory 920, connected to the processor 910, used to provide the processor 910 with instructions for processing the following processing steps: determining the user characteristic information of the target user and interacting with the target user Interaction process information, where the interaction process information includes: the current speech sequence interacting with the target user, the subsequence of the current speech sequence, the subsequent speech sequence set interacting with the target user, and the subsequent speech sequence corresponding to the subsequent speech sequence set The index information of the speech parent node; and using the pre-trained optimal speech sequence prediction ...
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