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Noise reduction method based on wireless acoustic sensor

An acoustic sensor and noise reduction technology, used in instruments, speech analysis, etc., can solve the problems of signal distortion, music noise, low accuracy of audio signals, etc., and achieve the effect of precise separation

Inactive Publication Date: 2021-09-28
合肥三恩信息科技有限公司
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Problems solved by technology

In related technologies, when faced with an audio signal with a low SNR, the existing noise reduction algorithm has problems such as signal distortion and musical noise under the condition of a low SNR, resulting in low accuracy of the extracted audio signal

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  • Noise reduction method based on wireless acoustic sensor

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] see figure 1 , the present invention is a kind of noise reduction method based on wireless acoustic sensor, comprises the following steps:

[0026] Step 1: The acoustic sensor collects the sound source, performs frame and window processing on the input acoustic signal and calculates the short-term energy of each frame, and then performs normalization, and performs frame and window processing on the input acoustic signal for: where x i (m) is windowing an...

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Abstract

The invention discloses a noise reduction method based on a wireless acoustic sensor, and relates to the technical field of acoustic sensor noise reduction. The method comprises the following steps: step 1, collecting a sound source, performing framing windowing processing on an input sound signal, calculating short-time energy of each frame, and performing normalization; step 2, counting the energy of each frame to obtain the energy probability of all frames, drawing a probability histogram of the energy, finding the energy T corresponding to the maximum value from the probability histogram, and taking out the energy with the maximum probability value; step 3, setting a high threshold T2 and a low threshold T1 according to the energy T of the maximum probability value; and step 4, performing detection by using a single-parameter double-threshold VAD, taking the part of which the energy is higher than that of the double thresholds as a noise signal, and taking the part of which the energy is lower than that of the double thresholds as a background noise part. The target signal and the background noise are separated more accurately, and the accuracy of the extracted audio signal is greatly improved, so that the noise reduction effect is further improved.

Description

technical field [0001] The invention belongs to the technical field of acoustic sensor noise reduction, in particular to a noise reduction method based on a wireless acoustic sensor. Background technique [0002] Denoising techniques are techniques that remove noise from a signal. All signal processing equipment, both analog and digital, have characteristics that make them susceptible to noise. Noise can be random or white noise with a uniform frequency distribution, or it can be frequency-dependent noise introduced by device mechanisms or signal processing algorithms. [0003] Audio noise reduction usually refers to the process of removing or weakening the noise part of an audio signal in some way to obtain a desired audio signal. Audio noise reduction in the general sense mainly refers to removing or weakening noise to obtain an audio signal. In related technologies, when faced with an audio signal with a low SNR, the existing noise reduction algorithm has problems such...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0208G10L21/0216G10L21/0264G10L25/78G10L25/84
CPCG10L21/0208G10L21/0216G10L21/0264G10L25/78G10L25/84G10L2025/783
Inventor 胡程远
Owner 合肥三恩信息科技有限公司