Target frequency response detection method and system for feed-forward filter of noise reduction earphone

Abstract

The invention relates to the technical field of active noise control, in particular to a target frequency response detection method and system for a feed-forward filter of a noise reduction earphone. The method comprises the steps of: S100, closing feed-forward noise reduction of an earphone, and carrying out measurement to obtain passive noise reduction frequency response; S200, configuring a feed-forward filter to have n (>=2) groups of different preset values, and measuring the frequency response from an external sound box to a microphone of sound acquisition equipment corresponding to each group of preset values; S300, calculating the total frequency response of the leakage frequency response of the earphoneand the frequency response of the digital circuit of the earphone, the frequency response of the digital circuitand the total frequency response from the external sound box to an earphone microphone and from an earphone loudspeaker to the microphone of the sound acquisition equipment; and S400, calculating to obtain the target frequency response of the feed-forward filter of the noise reduction earphone. According to the target frequency response detection method and system for a feed-forward filter of a noise reduction earphone provided by the invention, the feed-forward filter is tested through external equipment, and audio data in the earphone does not need to be exported, so that the test complexity is simplified; and a more accurate target frequency response result can be obtained by considering a leakage path of the earphone.

Description

technical field [0001] The invention relates to the technical field of active noise control, in particular to a method and a system for detecting a target frequency response of a noise reduction earphone feedforward filter. Background technique [0002] With the continuous development of industrialization, noise pollution has gradually become an important issue affecting people's lives, and the noise problem can be mainly divided into two categories: Active Noise Cancellation (ANC) and Passive Noise Cancellation (PNC). Passive noise reduction has weak processing ability for low-frequency noise, while active noise reduction can effectively suppress low-frequency noise due to the use of destructive interference. With the increasing complexity of theoretical and technical solutions to various problems, the trend of ANC is to move towards a wider range of algorithms to suppress complex noise patterns to achieve a more perfect listening experience. [0003] For the current ANC a...

AI Technical Summary

Problems solved by technology

[0003] For the current ANC algorithm, most of them use the method of filter fitting the target frequency response. Therefore, the measurement accuracy of the target frequency response also greatly affects the final performance of the noise-cancelling headphones.

The traditional target frequency response measurement method needs to measure the channel response inside the earphone. On the one hand, it increases the complexity and detection time of the detection, and on the other hand, it will introduce more error factors, resulting in a decrease in noise reduction quality.

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