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Scene classification model training method and device, electronic equipment and computer readable storage medium

A technology for scene classification and model training, applied in the field of data processing, can solve the problems of rough noise recognition and the need to improve the recognition granularity.

Pending Publication Date: 2022-08-05
MIDEA GRP (SHANGHAI) CO LTD +1
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  • Summary
  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In daily life, all kinds of noise are flooded in different places, and the sources of noise are various, but the identification of noise is relatively rough nowadays
For example, in the home scene, what the smart device can perceive is a rough change in the state of the acoustic environment, such as whether there is noise in the home scene, the size of the noise, and the recognition granularity needs to be improved

Method used

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  • Scene classification model training method and device, electronic equipment and computer readable storage medium
  • Scene classification model training method and device, electronic equipment and computer readable storage medium
  • Scene classification model training method and device, electronic equipment and computer readable storage medium

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Embodiment Construction

[0054]In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

[0055] Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skil...

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Abstract

The embodiment of the invention provides a scene classification model training method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the environmental acoustic features of a plurality of home scenes, inputting the environmental acoustic features of the plurality of home scenes into a scene classification network for training, therefore, the scene type information corresponding to each home scene is obtained, and the refining of the home scene recognition granularity is realized.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a scene classification model training method, apparatus, electronic device and computer-readable storage medium. Background technique [0002] In daily life, all kinds of noise are flooded in different places, and the sources of noise are various, and the identification of noise is relatively rough nowadays. For example, in the home scene, what the smart device can perceive is the rough change of the acoustic environment state, such as whether there is noise in the home scene, the size of the noise, and the recognition granularity needs to be improved. SUMMARY OF THE INVENTION [0003] One of the objects of the present invention includes, for example, providing a scene classification model training method, apparatus, electronic device and computer-readable storage medium to at least partially refine the household scene recognition granularity. [0004] Emb...

Claims

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Application Information

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IPC IPC(8): G10L13/02G10L13/08G10L15/02G10L15/06G10L17/02G10L17/04
CPCG10L13/02G10L13/08G10L15/02G10L15/063G10L17/02G10L17/04
Inventor 高羽
Owner MIDEA GRP (SHANGHAI) CO LTD
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