A Real-time Audio Noise Detection Method Based on Sparse Decomposition

A sparse decomposition and real-time detection technology, applied in speech analysis, instruments, etc., can solve problems that have not been reported, and achieve the effect of simple algorithm and fast processing

Inactive Publication Date: 2017-04-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Sparse decomposition methods have been applied to the denoising of audio and video signals, but their application in noise detection has not been reported

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
  • A Real-time Audio Noise Detection Method Based on Sparse Decomposition
  • A Real-time Audio Noise Detection Method Based on Sparse Decomposition
  • A Real-time Audio Noise Detection Method Based on Sparse Decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In this embodiment, a section of audio of an actual broadcast "car purchase advertisement" is used as input. The sampling rate of this audio segment is 48KHz, and the duration is 20 seconds. The first 8 seconds are normal audio of human voice plus background music. From the 9th second, it is disturbed by the environment, and strong interference noise is generated in the audio, which makes the human voice content It becomes blurry and cannot be heard normally. The interfering noise lasted for a total of 6 seconds. At the 15th second of the entire audio, the signal was completely interrupted, and the audio became white noise. The time-domain waveform diagram of the entire test audio is as follows figure 2 shown. The audio data is divided into audio frames equally according to the length of 512 sampling points, and the total number of frames is 1875 frames. The specific steps for noise detection of audio are as follows:

[0040] S1. Build the initial atomic library:

...

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 present invention provides a real-time audio noise detection method based on sparse decomposition, which is used for real-time noise detection of audio streams, which mainly includes the following steps: first receiving the first N frames of audio frames, and constructing an initial atomic library; Each audio frame performs mute judgment, the first sparse decomposition, and the second sparse decomposition, and uses the frame counter to count the audio frames in a loop. Whenever the frame counter count reaches N, a noise judgment is performed, and the frame counter is set at the same time. zero. The invention can detect various types of noise in audio, such as white noise, pink noise, high-frequency channel noise, etc., and when the signal and noise exist at the same time, it can also detect that the signal is covered by noise and the audio content is blurred. In the case of being unable to listen normally; at the same time, the detection method is simple in algorithm and fast in processing, and can be widely used in real-time monitoring of audio signals, such as radio and television signal monitoring.

Description

technical field [0001] The invention belongs to the technical field of digital audio processing, in particular to an audio noise detection method based on sparse decomposition. The method can be applied to automatic real-time monitoring of audio signals. Background technique [0002] Today, audio broadcasting has become the most popular medium of publicity and entertainment. Due to the complexity of the broadcasting system itself and the influence of external factors in the transmission, transmission and reception links, there are often broadcast anomalies or failures in broadcasting. Therefore, normal and safe broadcasting has always been a basic goal of broadcasting station business, and an important means to achieve this goal is to effectively monitor the quality of broadcasting audio. At present, domestic radio broadcasting monitoring has transitioned from the traditional manual method to computer-aided completion, and the monitoring automation of some simple abnormal ...

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
Patent Type & AuthorityPatents(China)
IPC IPC(8): G10L21/0224G10L21/0308G10L25/84
Inventor甘涛何艳敏黄晓革兰刚周南
OwnerUNIV OF ELECTRONICS SCI & TECH OF CHINA