Deep learning noise reduction method and device integrating in-ear microphone and out-ear microphone

A deep learning and microphone technology, which can be used in earphones to reduce environmental noise, earpiece/earphone accessories, sounding equipment, etc., and can solve problems such as the lack of high frequency of target speech

Active Publication Date: 2020-12-08
ELEVOC TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the in-ear microphone picks up the wearer's voice through the ear canal, resulting in the loss of high frequency of the target voice it collects
Therefore, the use of in-ear microphones or out-of-ear microphones alone for speech noise reduction has great limitations

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  • Deep learning noise reduction method and device integrating in-ear microphone and out-ear microphone
  • Deep learning noise reduction method and device integrating in-ear microphone and out-ear microphone

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Embodiment Construction

[0046] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0047] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0048] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two. In addition, the term "at least one" herein means any one of a variety or any combination of at least two of th...

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Abstract

The invention discloses a deep learning noise reduction method and device integrating an in-ear microphone and an out-ear microphone. The noise reduction method comprises the steps of acquiring an audio signal of the in-ear microphone and an audio signal of the out-ear microphone; obtaining a target amplitude spectrum of the network model; filtering the audio signal of the in-ear microphone basedon a high-pass filtering technology; respectively inputting the filtered audio signal of the in-ear microphone and the filtered audio signal of the out-ear microphone into a network model to obtain aprediction amplitude spectrum output by the network model; and under the condition that the error between the target amplitude spectrum and the predicted amplitude spectrum is within a preset range, synthesizing the predicted amplitude spectrum again and then outputting as a signal after algorithm prediction and noise reduction. According to the method, the voice call quality in a noise environment is improved.

Description

technical field [0001] The present application relates to the technical field of voice noise reduction for electronic devices, in particular to a deep learning noise reduction method and device that integrates in-ear microphones and out-of-ear microphones. Background technique [0002] Speech noise reduction technology refers to separating or extracting the target speech signal from the noisy speech signal. In the current noise reduction scheme, the noise reduction technology of a single microphone outside the ear and an array of microphones outside the ear is usually used to separate or extract the target voice signal from the noisy voice signal. Separation or extraction of the target voice signal becomes extremely difficult, resulting in the impossibility of voice calls. The in-ear microphone can effectively isolate external environmental noise physically and ensure that the picked-up signal has a high signal-to-noise ratio. However, the in-ear microphone picks up the we...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04R1/10G10K11/178
CPCH04R1/1083G10K11/1781G10K11/17853
Inventor 闫永杰
Owner ELEVOC TECH CO LTD
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