A method and mobile terminal for adjusting audio parameters

Abstract

A method for adjusting audio parameters is disclosed in the embodiments of the present invention, including: playing original detecting sound waves; recording the reflected detecting sound waves to obtain a number N of recorded sound waves, wherein the detecting reflected sound waves are the reflected waves of the original detecting sound waves, and N is a positive integer greater than or equal to 1; analyzing acoustical behavior of a number N of recorded sound waves to obtain an effect degree parameter of the terminal and an effect degree parameter of environment; and adjusting the audio parameters of the audio frequency output from the mobile terminal by adopting the corresponding effect degree parameters according to predetermined strategy. A mobile terminal and computer storage medium are also disclosed in the embodiments of the present invention.

Description

technical field [0001] The invention relates to the field of terminal applications, in particular to a method for adjusting audio parameters and a mobile terminal. Background technique [0002] With the wide application of mobile terminals in people's lives, mobile terminals have higher and higher requirements for sound effects. No matter in the voice call scene or in the multimedia playback scene, it is required to improve the user's listening experience as much as possible. [0003] At present, because users are often unable to adjust according to the actual acoustic performance, there is a lot of randomness, which is prone to cracking sound, which will cause great damage to electro-acoustic devices, and because electro-acoustic devices increase with the number of uses, audio The characteristics will change, and different application environments have different effects on the sound effects of electro-acoustic devices. Therefore, the existing voice optimization algorithms a...

AI Technical Summary

Problems solved by technology

[0003] At present, because users are often unable to adjust according to the actual acoustic performance, there is a lot of randomness, which is prone to cracking sound, which will cause great damage to electro-acoustic devices, and because electro-acoustic devices increase with the number of uses, audio The characteristics will change, and different application environments have different effects on the sound effects of electro-acoustic devices. Therefore, the existing voice optimization algorithms are all concentrated in the terminal research and development stage. They are all professionally tested and adjusted by the research and development personnel according to the acoustic characteristics. , there is no room for the user to operate; the post-processing adjustment of multimedia sound effects provides users with a very small adjustable range, and can only provide quantization equalization technology (EQ, EQualize) for adjustment

That is to say, after the mobile terminal leaves the factory, it is impossible to adjust the acoustic parameters that have a greater impact on the sound effect, which leads to the fact that the mobile terminal is often unable to provide the best sound effect during use.

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