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Method and device for snoring recognition, storage medium and processor

A processor and snoring technology, applied in the field of information processing, can solve the problems of high hardware cost, a large number of training samples, background noise misjudged as snoring, etc., and achieves the effect of reducing hardware performance requirements and reducing costs.

Active Publication Date: 2020-02-07
龙马智芯(珠海横琴)科技有限公司
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Problems solved by technology

[0003] At present, many products on the market to identify snoring of patients only set a threshold in the sleeping environment. When the detected sound signal is greater than the threshold, it will be recognized as snoring. However, this method will misjudge many background noises as snoring
In view of this situation, in related technologies, an adaptive unsupervised snoring detection algorithm is used to extract certain features from the sound, and these features are used to identify snoring, such as MEL frequency cepstral coefficient features, formant features, etc., such algorithms Less accurate at differentiating snoring from background noise
In addition, some supervised snoring recognition methods use neural network or model methods to recognize snoring. This type of method has relatively high accuracy, but requires a large number of training samples, and the cost of hardware is high.
[0004] Aiming at the technical problem of high cost in improving the accuracy of snoring recognition in related technologies, no effective solution has been proposed so far

Method used

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  • Method and device for snoring recognition, storage medium and processor
  • Method and device for snoring recognition, storage medium and processor

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Embodiment Construction

[0020] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0022] It should be noted that the terms "first" and "second...

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Abstract

The application discloses a snore recognition method and device, storage medium and processor. The method comprises the following steps: acquiring a speech spectrum of target audio data, wherein the target audio data are audio data collected during the sleep process of a user; determining a first energy ratio in the target energy range in the speech spectrum; and recognizing whether snoring soundexists in the target audio data based on the first energy ratio. The application can solve the technical problem of relatively high cost in the condition of improving the snoring recognition accuracyrate.

Description

technical field [0001] The present application relates to the technical field of information processing, in particular, to a method and device for snoring recognition, a storage medium and a processor. Background technique [0002] Snoring is a very common phenomenon, and about 20%-40% of the population suffers from snoring symptoms. Snoring not only troubles patients and affects companions, but also poses a threat to patients' health. Obstructive sleep apnea syndrome is a breathing disorder that is accompanied by snoring, which can cause daytime sleepiness and fatigue in patients and is also a predisposing factor for cardiovascular disease. [0003] At present, many products on the market to identify snoring of patients only set a threshold in the sleeping environment. When the detected sound signal is greater than the threshold, it will be recognized as snoring. However, this method will misjudge many background noises as snoring. In view of this situation, in related te...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L25/03G10L15/20G10L25/51G10L25/78A61B5/00
Inventor 聂镭沙露露聂颖郑权张峰
Owner 龙马智芯(珠海横琴)科技有限公司
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