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Adaptive noise reduction method based on audio feature extraction

An audio feature, adaptive technology, applied in the field of noise reduction, to achieve the effect of clear voice information and reduce noise in the car

Active Publication Date: 2016-09-07
SHENZHEN HANGSHENG ELECTRONICS
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an adaptive noise reduction method based on audio feature extraction, aiming to solve the problem of reducing or eliminating noise in the car

Method used

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  • Adaptive noise reduction method based on audio feature extraction
  • Adaptive noise reduction method based on audio feature extraction
  • Adaptive noise reduction method based on audio feature extraction

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Embodiment Construction

[0033] figure 1 As shown, a flow chart of an adaptive noise reduction method based on audio feature extraction provided by the present invention includes the following steps according to the method flow chart:

[0034] Step S1, collecting sound through pickups; there are two pickups; one pickup is placed at the center console as a reference signal input, and one is placed at the headrest in the rear row as an error sensor.

[0035] Step S2, analyzing and processing the collected sound by segment according to the frequency range.

[0036] Step S3, compare the processed sound with the preset frequency range, and convert the reference signal into a modified noise signal through the primary acoustic channel function d(k)=X(k)*L(z); through the adaptive LMS filter function and P i (k+1)=P i (k)+2δe(k)X(k-i)s converts the reference signal into a controller output signal; converts the controller output signal into a secondary audio signal through the function formula; transfers ...

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Abstract

The invention is suitable for the field of noise reduction and provides an adaptive noise reduction method based on audio feature extraction. The method comprises the following steps: A, collecting sound through a pickup; B, carrying out segmented analysis and processing of the collected sound according to a frequency range; C, comparing the processed sound with a preset frequency range and determining whether the sound is within the preset range, going on to execute the next step if the sound is within the preset range, otherwise, carrying out denoising processing; D, determining whether the sound within the preset frequency range is bigger than a preset value a of a physical sample, executing the next step if the sound is bigger than the preset value a, or determining that the sound is sound of human talk if the sound is smaller than the preset value a; E, determining whether the sound within the preset frequency range is bigger than an acoustic feature preset value b, executing the next step if the sound is bigger than the preset value b, or determining that the sound is sound of human talk if the sound is smaller than the preset value b; and F, determining whether the sound within the preset frequency range is bigger than a semantic feature preset value c, determining that the kept sound is sound of music if the sound is bigger than the preset value c, or determining that the sound is sound of human talk if the sound is smaller than the preset value c.

Description

technical field [0001] The invention belongs to the field of noise reduction, in particular to an adaptive noise reduction method based on audio feature extraction. Background technique [0002] In the field of vehicles, due to the rotation of the engine in the car body, the sound of the car vibrates, resulting in noise. Most of the time, a car is a closed space. When people drive in a noisy closed space for a long time, they are easily fatigued and unresponsive, which will cause traffic accidents and seriously endanger human life. The traditional method is generally a physical noise reduction method, adding a lot of sound insulation materials to noise-generating locations such as under the hood, around the tires, under the trunk lid, etc. The effect of physical noise reduction depends on the characteristics of the sound insulation material itself and the amount of material used. Due to the slow development of material science, blindly adding sound insulation materials will...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0308G10L21/0232
CPCG10L21/0232G10L21/0308
Inventor 郭应锋朱月陈如亚
Owner SHENZHEN HANGSHENG ELECTRONICS
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