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Voice interaction method, model training method, electronic equipment and storage medium

A voice interaction and model technology, applied in voice analysis, voice recognition, instruments, etc., can solve the problems of long time to generate text, large time cost, large number of model parameters, etc., to achieve time cost and cost control, The effect of reducing the total duration

Active Publication Date: 2022-07-29
GUANGZHOU XIAOPENG MOTORS TECH CO LTD
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Problems solved by technology

Second, you can also use the popular pre-trained text generation model in recent years. Although the accuracy rate is high and the diversity is rich, the model parameters are huge. Longer, higher requirements for equipment, and more time spent

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  • Voice interaction method, model training method, electronic equipment and storage medium
  • Voice interaction method, model training method, electronic equipment and storage medium
  • Voice interaction method, model training method, electronic equipment and storage medium

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Embodiment Construction

[0073] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the embodiments of the present invention, and should not be construed as limitations on the embodiments of the present invention.

[0074] see figure 1 , the present invention provides a voice interaction method. Voice interaction methods include:

[0075] 01: Obtain the user's voice data for real-time voice recognition to obtain the user's voice request;

[0076] 02: In the case of not receiving the complete user voice request, predict the user voice request according to the user voice request obtained in real time and the recurrent neural network model to obtain a prediction result; ...

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Abstract

The invention discloses a voice interaction method, a model training method, electronic equipment and a storage medium. The voice interaction method comprises the following steps: acquiring user voice data to perform voice recognition in real time to obtain a user voice request; under the condition that the complete user voice request is not received, predicting the user voice request according to the user voice request acquired in real time and the recurrent neural network model to obtain a prediction result; processing the prediction result to obtain a first prediction instruction; and after the complete user voice request is received, if the prediction result is the same as the received complete user voice request, completing voice interaction according to the first prediction instruction. According to the method, the voice request of the user is predicted and complemented based on the recurrent neural network model, the total time required by a dialogue system for processing the voice request of the user is shortened, meanwhile, a lightweight model is adopted, conventional statements can be accurately and quickly predicted, and richness, parameter quantity, time cost and cost can be controlled.

Description

technical field [0001] The present invention relates to the technical field of voice interaction, in particular to a voice interaction method, a model training method, an electronic device and a storage medium. Background technique [0002] For text completion, similar services include prompt words for input methods, input prompts for search boxes, code completion prompts, and automatic text generation. First, conventional search algorithms can be used, but this requires storing a large amount of data in advance, and searching in a huge database, using the space-for-time method to improve efficiency and accuracy. Second, you can also use the popular pre-trained text generation models in recent years. Although the accuracy rate is high and the diversity is rich, the model parameters are huge, and it takes a long time to train texts in specific fields, and the time to generate text is also Longer, higher requirements for equipment, and greater time consumption. [0003] Howe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/22G10L15/06G10L15/16
CPCG10L15/22G10L15/16G10L15/063G10L2015/0631
Inventor 李万水陈光毅翁志伟孙仿逊李晨延赵耀易晖李嘉辉
Owner GUANGZHOU XIAOPENG MOTORS TECH CO LTD
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