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Abnormal sound classification method, system and device and storage medium

A technology of abnormal sound and classification method, which is applied in speech analysis, speech recognition, instruments, etc. It can solve the problems of audio segment judgment, footstep confusion, and the inability to improve the accuracy of abnormal sound detection, so as to improve the accuracy and reduce the recognition rate. interference effect

Pending Publication Date: 2021-11-23
ZHEJIANG DAHUA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The existing technology only simply classifies the feature segments. If the audio segment to be detected belongs to one of the multiple sound types that are easily confused, for example, in an actual meeting scene, it is necessary to detect explosions, gunshots, screams, etc. However, because the sound of typing on the keyboard and the sound of closing the door are easily recognized as gunshots, and the sound of footsteps is also easily confused with gunshots, and the sound of coughing and screaming has certain similarities, so the existing technology cannot accurately Judging the abnormal category to which the audio clip belongs cannot improve the accuracy of abnormal sound detection

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  • Abnormal sound classification method, system and device and storage medium
  • Abnormal sound classification method, system and device and storage medium
  • Abnormal sound classification method, system and device and storage medium

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Embodiment Construction

[0026] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of this application.

[0027] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the examples of this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the above clearly dictates otherwise, "a plurality of" "Generally includes at least two, but does not exclude ...

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Abstract

The invention discloses an abnormal sound classification method, system and device and a storage medium. The method comprises the steps of obtaining acoustic features of a to-be-detected abnormal audio signal; inputting the acoustic features into a multi-classifier, and determining the likelihood of the abnormal audio signal and various abnormal categories based on the acoustic features by using the multi-classifier; and in response to the fact that the difference value of the two maximum likelihoods is smaller than a set value, detecting the acoustic features by using the binary classifiers of the two abnormal categories corresponding to the two maximum likelihoods to obtain the abnormal type of the abnormal audio signal. Through the above mode, the identification interference of similar sound on the abnormal audio signal can be greatly reduced, so that the accuracy of abnormal sound detection is improved.

Description

technical field [0001] The present application relates to the field of sound signal processing, in particular to a method, system, device and storage medium for classifying abnormal sounds. Background technique [0002] In the field of security, the mainstream monitoring method is video surveillance, but video surveillance cannot detect the occurrence of events in blind spots due to its limited monitoring field of view. The detection of security incidents will be more efficient, and the monitoring method that combines video monitoring and audio monitoring is the future development trend. [0003] In the current abnormal audio detection method, after obtaining the audio segment to be detected, the audio segment is divided into frames for feature extraction in the time domain, frequency domain or cepstrum domain, and then the feature segment is sent to the classification model. The feature fragments are identified to obtain the final detection result. [0004] The existing t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/78G10L25/51G10L25/03G10L15/04G10L15/08
CPCG10L25/78G10L25/51G10L25/03G10L15/08G10L15/04
Inventor 王宝俊张锦铖史巍林聚财殷俊
Owner ZHEJIANG DAHUA TECH CO LTD