Verbal skill determination method and device and storage medium
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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 ...
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