Audio piece selection method and audio piece selection device thereof

Abstract

The invention discloses an audio part selection method. The method comprises the following steps: sending out simulation sound waves; enabling a to-be-tested audio part to receive a simulation sound wave and generating a test sound wave according to the simulation sound wave; analyzing the simulation sound wave and the test sound wave, obtaining a first frequency response curve according to the simulation sound wave, and obtaining a second frequency response curve according to the test sound wave; selecting a test frequency value shared by at least two first frequency response curves and the second frequency response curve, and respectively obtaining a first decibel value corresponding to the first frequency response curve and a second decibel value corresponding to the second frequency response curve according to the test frequency value; judging whether a first difference value between the first decibel value and the corresponding second decibel value falls into a preset first sensitivity deviation interval or not, and analyzing the sensitivity of the to-be-tested audio part according to a judgment result. According to the invention, sensitivity quality control can be directly carried out on the audio pieces, and the sensitivity of different audio pieces can be analyzed. The invention further discloses an audio part selection device.

Description

technical field [0001] The invention relates to the technical field of sound quality detection, in particular to an audio component selection method and an audio component selection device. Background technique [0002] The core components of the headset include a microphone and a speaker. The quality of the microphone and speaker is very important, and their sensitivity and responsiveness directly affect the quality of the headset. Specifically, the microphone is mainly used for sound collection of earphones, especially for active noise-cancelling earphones, the cooperation between the microphone and various components requires extraordinary sensitivity and responsivity, in order to record call sounds and collect noises (such as collecting environmental noises for noise reduction). noise processing). The speaker is mainly used to convert the audio signal processed by the noise reduction algorithm into a sound wave and spread it to the outside. The quality of the speaker di...

AI Technical Summary

Problems solved by technology

[0004] However, microphones and speakers will inevitably be damaged during packaging and transportation. This damage occurs after the integrated inspection, and the damage is concealed to a certain extent. It is generally difficult to distinguish, and it is difficult to be detected during the earphone assembly process ( Even if there is a factory inspection of the finished headset, it will not pay attention to the damage of the microphone and speaker), therefore, it is easy to misuse the damaged microphone and speaker during the assembly process of the headset, resulting in a decline in the quality of the headset and seriously affecting the user experience

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