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Semantic recognition method, device and equipment

A semantic recognition and semantic feature technology, applied in the computer field, can solve the problems of slow feedback, time-consuming, unable to complete voice tasks, etc., to achieve the effect of improving efficiency

Pending Publication Date: 2020-07-17
大众问问(北京)信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the identification process of the cloud system involves a relatively time-consuming network transmission process, so the feedback of the cloud system is usually slower than that of the local system, but the local terminal system cannot complete more due to the limitation of computing power and storage space. voice task

Method used

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  • Semantic recognition method, device and equipment
  • Semantic recognition method, device and equipment
  • Semantic recognition method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] figure 1 It is a flowchart of a semantic recognition method in Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the situation where the client performs semantic recognition through the scene semantic recognition model. The method can be executed by a semantic recognition device, which can It is realized by software and / or hardware, and can be integrated in various general-purpose computer devices, specifically including the following steps:

[0037] Step 110, the client acquires the user's target identity and target scene information matching the target voice command according to the target voice command input by the user.

[0038] Wherein, the target voice command is a voice command input by the user that requires semantic recognition. Exemplarily, the target voice command may be "play a soothing music"; the target identity is an identity that can represent a unique user, for example, the target identity The identifier ...

Embodiment 2

[0053] figure 2 It is a flowchart of a semantic recognition method in Embodiment 2 of the present invention. This embodiment is further refined on the basis of the above-mentioned embodiments, and provides that the client obtains the user's target identity according to the target voice command input by the user. And the specific steps before the target scene information matched with the target voice command, and the specific steps after the client recognizes the target voice command according to the target scene semantic recognition model. Combine below figure 2 A semantic recognition method provided in Embodiment 2 of the present invention is described, including the following steps:

[0054] Step 210, the client acquires the user's target identity and target scene information matching the target voice command according to the target voice command input by the user.

[0055] Optionally, before the client acquires the user's target identity and target scene information mat...

Embodiment 3

[0066] image 3 It is a flowchart of a semantic recognition method in Embodiment 3 of the present invention. The technical solution of this embodiment is applicable to the situation where the server determines the scene semantic recognition model according to the training data sent by the client. This method can be executed by a semantic recognition device. The device can be realized by software and / or hardware, and can be integrated in various general-purpose computer equipment, specifically including the following steps:

[0067] In step 310, the server acquires the training data sent by the target client in real time, and groups each training data according to the identification included in the training data.

[0068] Wherein, the training data is the data sent by the target client for training the scene semantic recognition model. Exemplarily, the training data includes historical voice instructions, user IDs, and historical scene information matched with the historical vo...

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Abstract

The embodiment of the invention discloses a semantic recognition method, device and equipment. The semantic recognition method comprises the following steps that: a client acquires a target identity identifier of a user and target scene information matched with a target voice instruction according to the target voice instruction input by the user; the client determines a target scene semantic recognition model matched with the target scene information in at least one scene semantic recognition model matched with the target identity identifier; and the client performs recognition processing onthe target voice instruction according to the target scene semantic recognition model. According to the technical scheme of the embodiment of the invention, the scene semantic recognition model matched with the application scene is used for semantic recognition at the client, so that the semantic recognition efficiency is improved.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular to a semantic recognition method, device and equipment. Background technique [0002] At present, the vehicle-mounted voice recognition system is often used in the process of driving a motor vehicle. The driver can directly issue voice commands to control the vehicle terminal without manual operation, which brings convenience to the driver, but at the same time , some defects are also gradually appearing. For example, the car voice recognition system usually takes more than 2 seconds from the user inputting the voice command to receiving the voice feedback from the car terminal. Even in the case of complex voice commands, the waiting time for feedback is as high as 5- 6 seconds, which makes the driver put more energy into waiting for the system feedback result, which affects the driver's reaction speed to unexpected situations. [0003] In the existing technology...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F40/279G06F40/216G10L15/22
CPCG10L15/22
Inventor 王夏鸣
Owner 大众问问(北京)信息科技有限公司
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