Sound event detection method, device and system and readable storage medium

Abstract

The invention discloses a sound event detection method, device and system and a readable storage medium, the method is applied to a detection device, and the method comprises the following steps: receiving positive sample data, the positive sample data being audio data related to a target sound event occurring in a target application scene; collecting sound in the target application scene to obtain negative sample data; sending the positive sample data and the negative sample data to a cloud device, so that the cloud device trains a sound event detection model based on the positive sample data and the negative sample data to obtain a first sound event detection model; and obtaining real-time audio data in the target application scene, and detecting the real-time audio data by using the first sound event detection model to obtain a current detection result, the current detection result being a detection result of whether the target sound event occurs in the target application scene. In this way, the detection effect can be improved, and a user can customize the detection type of the sound event detection model.

Description

technical field [0001] The present application relates to the technical field of audio processing, and in particular to a sound event detection method, device, system and readable storage medium. Background technique [0002] Sound event detection can significantly improve people's quality of life in daily life. For example, when the owner is sleeping in the bedroom, he can detect the sound of knocking on the door, the sound of beeping when the washing machine finishes washing, or the sound of boiling water. It brings convenience to life; especially in families with old people and babies, it can detect the cries of children or the painful groans of old people, etc., and upload the detection results to the head of the household's mobile phone in time for early warning to prevent worse consequences. However, different users have different requirements for sound event detection. The current deep learning solution must customize the model for each sound event detection task. Sin...

AI Technical Summary

Problems solved by technology

However, different users have different requirements for sound event detection. The current deep learning solution must customize the model for each sound event detection task. Since it is unknown which type of sound event the user needs to detect, the provided The detection categories of sound events are limited and not personalized enough. How to implement a user-defined sound event detection solution is an urgent problem to be solved

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