Acoustic event detecting method under hospital noise environment

An acoustic event detection, hospital technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as the decline in recognition rate

Inactive Publication Date: 2018-10-12
SHENYANG POLYTECHNIC UNIV
View PDF5 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The recognition rate of existing voice electronic medical records will drop significantly when the signal-to-noise ratio is very low, or when...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Acoustic event detecting method under hospital noise environment
  • Acoustic event detecting method under hospital noise environment
  • Acoustic event detecting method under hospital noise environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Such as Figure 1-3 As shown, the present invention relates to the study of acoustic event detection methods, especially noise data in hospital environments. The specific steps include the following steps.

[0038] in the training phase.

[0039] 1. Firstly, the hospital noise is comprehensively analyzed. The present invention detects and classifies various acoustic events in the hospital. The sound data of medical equipment includes: ventilator, ECG monitor, cardiac defibrillation and pacing equipment, and the sound of nursing car movement , including: printer, patient crying, a total of six kinds of acoustic events to be detected. The data includes 100 each, each event length is not less than 1 second, and the audio length is more than ten seconds. The target sound event categories are selected according to their frequency of occurrence in the original annotation and the number of different records in which they appear. The dataset divides the data into training an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an acoustic event detecting method, in particular to an acoustic event detecting method under the hospital noise environment. According to the acoustic event detecting methodunder the hospital noise environment, voice is accurately recognized to be text, the recognition rate of an electronic medical record input through the voice is increased, and the false recognition rate is decreased. The acoustic event detecting method comprises the following steps that 1, feature intercepting is conducted on an audio signal of each acoustic event, and audio clips of the audio signals are marked correspondingly; 2, an MFCC feature coefficient of each target acoustic event in audio is extracted; 3, voice phonemes are aligned; 4, feature matrixes of the voice are generated; 5, aCRNN model is established for each target acoustic event; 6, the audio signals of the to-be-detected target acoustic events collected in real time under the hospital noise environment are pre-processed, and then MFCC feature extraction is conducted; 7, the category of the to-be-detected target acoustic events is obtained; and 8, the audio clips irrelevant to the target acoustic events are filed out.

Description

technical field [0001] The invention relates to an acoustic event detection method, in particular to an acoustic event detection method in a hospital noise environment. Background technique [0002] The recognition rate of existing voice electronic medical records will drop significantly when the signal-to-noise ratio is very low, or when multiple people are speaking. Therefore, acoustic event detection becomes a key step in how to remove the influence of noise in the hospital environment. [0003] The current speech recognizer classifies non-speech into one category: noise. In fact, noise in reality may be more complex than speech. If it can also model various types of noise, it will help speech recognition to distinguish which ones. It is a useful voice, which has great significance for the recognition of voice electronic medical records. Contents of the invention [0004] The present invention aims at the defects existing in the prior art, and provides an acoustic even...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G10L15/02G10L15/06G10L15/08G10L15/14G10L15/16G10L15/26
CPCG10L15/02G10L15/063G10L15/08G10L15/142G10L15/16G10L15/26
Inventor 邵虹田影刘阳崔文成
Owner SHENYANG POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap