ANC-based active noise reduction algorithm

Abstract

The invention relates to the technical field of active noise reduction, in particular to an ANC-based active noise reduction algorithm, noise data adopted by a pickup module sensor can be decoded through a sound decoding module, then decoded time domain waveforms are recognized through a first recognition module, and if a voice part is included, the first recognition module recognizes the decoded time domain waveforms; if yes, the surrounding environment is obtained through an image obtaining sensor, if not, noise reduction processing is carried out on the voice part, if yes, noise reduction processing is carried out on noise except the voice part, and the situation that important voice information cannot be heard indoors due to noise reduction can be prevented.

Description

technical field [0001] The present invention relates to the technical field of active noise reduction, in particular to an ANC-based active noise reduction algorithm. Background technique [0002] Ambient noise is an important factor affecting the sound quality perception of the earphone wearer. Wearing earphones to listen to audio or perform voice communication in a high-noise environment will cause the user's listening quality to decline, and more seriously, the user's hearing will be damaged. Therefore, earphone noise reduction has attracted the attention of earphone designers and users. At present, there are two methods for earphone noise reduction: passive noise reduction and active noise reduction. Passive noise reduction generally uses the structure and material design of the earphone to isolate the physical signal between the earphone and the outside world, such as in-ear designs, while active noise reduction uses analog or digital signal processing to offset extern...

AI Technical Summary

Problems solved by technology

Passive noise reduction generally uses the structure and material design of the earphone to isolate the physical signal between the earphone and the outside world, such as in-ear designs, while active noise reduction uses analog or digital signal processing to offset external noise. It uses the principle of signal reverse superposition and elimination, uses a microphone to receive the environmental noise, calculates the reverse signal of the environmental noise, and uses a speaker to transmit the reverse signal of the environmental noise to offset the external noise, but the current active noise reduction algorithm has two A problem is that important information is also noise-reduced, such as calls, conversations, etc., and the current active noise-reduction methods cannot carry out active learning, and are not intelligent enough in the process of use.

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