CN106612482B - Method for adjusting audio parameters and mobile terminal - Google Patents
Method for adjusting audio parameters and mobile terminal Download PDFInfo
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- CN106612482B CN106612482B CN201510697554.6A CN201510697554A CN106612482B CN 106612482 B CN106612482 B CN 106612482B CN 201510697554 A CN201510697554 A CN 201510697554A CN 106612482 B CN106612482 B CN 106612482B
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Abstract
The embodiment of the invention discloses a method for adjusting audio parameters, which is applied to a mobile terminal and comprises the following steps: playing original detection sound waves; recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of the original detected sound waves, and N is a positive integer greater than or equal to 1; analyzing acoustic characteristics of the N sound waves to obtain an influence degree parameter of the terminal and an influence program parameter of the environment; and adjusting the audio parameters of the output audio of the mobile terminal by adopting the corresponding influence degree parameters according to a preset strategy. The embodiment of the invention also discloses a mobile terminal.
Description
Technical Field
The present invention relates to the field of terminal applications, and in particular, to a method for adjusting audio parameters and a mobile terminal.
Background
With the wide application of mobile terminals in the life of people, the requirements of the mobile terminals on sound effects are higher and higher, and the listening experience of users is required to be improved as much as possible no matter in a voice call scene or a multimedia playing scene.
At present, users often cannot adjust the acoustic performance according to actual acoustic performance, the randomness is high, the sound breaking phenomenon is easy to generate, great damage is caused to an electroacoustic device, the audio frequency characteristic of the electroacoustic device changes along with the increase of the using times of the electroacoustic device, and different application environments have different sound effects on the electroacoustic device, so that the existing voice optimization algorithm is concentrated in a terminal research and development stage, is subject to professional tests, is adjusted by research and development personnel according to the acoustic characteristic, and has no operable space for the users; the multimedia sound effect post-processing adjustment has small adjustable range provided for users, and can only provide the EQ (EQ) for adjustment. That is to say, the mobile terminal cannot adjust the acoustic parameters that have a large influence on the sound effect after leaving the factory, which leads to that the mobile terminal often cannot provide the optimal sound effect in the using process.
Disclosure of Invention
In view of this, embodiments of the present invention are expected to provide a method for adjusting audio parameters and a mobile terminal, so as to implement adaptive adjustment of audio parameters by the mobile terminal, provide an optimal sound effect, and improve user experience.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for adjusting an audio parameter, which is applied to a mobile terminal, and includes: playing original detection sound waves; recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of the original detected sound waves, and N is a positive integer greater than or equal to 1; analyzing acoustic characteristics of the N sound waves to obtain an influence program parameter of the environment and an influence degree parameter of the terminal; and adjusting the audio parameters of the output audio of the mobile terminal by adopting the corresponding influence degree parameters according to a preset strategy.
In the above scheme, recording the detected reflected sound waves to obtain N recording sound waves includes: and carrying out high-definition recording on the detection reflected sound waves to obtain the N recording sound waves.
In the above scheme, the analyzing acoustic characteristics of the N sound waves to obtain an influence degree parameter includes: obtaining an influence degree parameter of the environment based on the derived sound waves of the N recorded sound waves; and obtaining the influence program parameters of the terminal based on the N attenuated sound waves of the recording sound waves.
In the foregoing aspect, the obtaining a parameter of a degree of influence of the environment based on the derived sound waves of the N recorded sound waves includes: performing echo suppression on the N recording sound waves to obtain N derived sound waves; obtaining an environmental acoustic characteristic index based on the N derived sound waves; and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
In the foregoing aspect, the obtaining a parameter of a degree of influence of the environment based on the derived sound waves of the N recorded sound waves includes: calculating sound pressure values of the N derived sound waves; selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value; compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves; and carrying out acoustic analysis on the environment derived sound wave to obtain the environment acoustic characteristic index.
In the foregoing aspect, the obtaining, based on the attenuated sound waves of the N recording sound waves, an influence program parameter of the terminal includes: extracting attenuated sound waves contained in the N sound recording files; acquiring a terminal acoustic characteristic index based on the N attenuated sound waves; and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain an influence degree parameter of the terminal.
In the foregoing scheme, the obtaining a terminal acoustic characteristic index based on the N attenuated sound waves includes: calculating sound pressure values of the N attenuated sound waves; selecting one attenuated sound wave from the N attenuated sound waves as a basic attenuated sound wave based on the sound pressure value; compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves; and carrying out acoustic analysis on the terminal attenuation sound wave to obtain the terminal acoustic characteristic index.
In the foregoing solution, according to a preset policy, adjusting an audio parameter of an audio output by the mobile terminal by using a corresponding influence degree parameter includes: when the mobile terminal is currently running a multimedia playing application, adjusting the audio parameter by adopting the environmental influence degree parameter and the terminal influence degree parameter; when the mobile terminal currently runs a recording and playing application, adjusting the audio parameter by adopting the environmental influence degree parameter; and when the mobile terminal currently runs a voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters.
In the above scheme, the audio parameters include one or more of the following parameters: gain of the parametric filter, cut-off frequency point Fh, quality factor Q, noise suppression VAD parameters, Analog Gain-Gain, and Digital Gain-Gain.
In a second aspect, an embodiment of the present invention provides a mobile terminal, including: the device comprises a playing component, a radio receiving component and a processor; the playing component is used for playing original detection sound waves; the sound receiving assembly is used for recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of the original detected sound waves, and N is a positive integer greater than or equal to 1; the processor is used for analyzing acoustic characteristics of the N sound waves to obtain an influence program parameter of the environment and an influence degree parameter of the terminal; and adjusting the audio parameters of the output audio of the mobile terminal by adopting the corresponding influence degree parameters according to a preset strategy.
In the above scheme, the sound receiving component is specifically configured to perform high-definition recording on the detected reflected sound waves to obtain the N recording sound waves.
In the foregoing solution, the processor is specifically configured to obtain an influence degree parameter of the environment based on a derived sound wave of the N recorded sound waves; and obtaining the influence program parameters of the terminal based on the N attenuated sound waves of the recording sound waves.
In the above scheme, the processor is specifically configured to perform echo suppression on the N recorded sound waves to obtain N derived sound waves; obtaining an environmental acoustic characteristic index based on the N derived sound waves; and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
In the above scheme, the processor is specifically configured to calculate sound pressure values of the N derived sound waves; selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value; compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves; and carrying out acoustic analysis on the environment derived sound wave to obtain the environment acoustic characteristic index.
In the foregoing solution, the processor is specifically configured to extract attenuated sound waves included in the N sound recording files; acquiring a terminal acoustic characteristic index based on the N attenuated sound waves; and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain an influence degree parameter of the terminal.
In the foregoing solution, the processor is specifically configured to calculate sound pressure values of the N attenuated sound waves; selecting one attenuated sound wave from the N attenuated sound waves as a basic attenuated sound wave based on the sound pressure value; compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves; and carrying out acoustic analysis on the terminal attenuation sound wave to obtain the terminal acoustic characteristic index.
In the foregoing solution, the processor is specifically configured to adjust the audio parameter by using the environmental impact degree parameter and the terminal impact degree parameter when the mobile terminal is currently running a multimedia playing application; when the mobile terminal currently runs a recording and playing application, adjusting the audio parameter by adopting the environmental influence degree parameter; and when the mobile terminal currently runs a voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters.
In the above scheme, the playing component is a speaker or a receiver; the sound receiving component is a microphone or a microphone array.
The embodiment of the invention provides a method for adjusting audio parameters and a mobile terminal. Firstly, the mobile terminal plays original detection sound waves, the original detection sound waves are spread and reflected to form detection reflection sound waves, then, the mobile terminal records the detection reflection sound waves to obtain N recording sound waves, next, acoustic characteristic analysis is carried out on the N recording sound waves to obtain influence degree parameters of the terminal and influence program parameters of the environment, and finally, audio parameters of the mobile terminal output audio are adjusted by adopting corresponding influence degree parameters according to a preset strategy. That is to say, through the analysis to surveying the reflection sound wave, obtain the influence degree parameter of terminal and the influence degree parameter of environment respectively, then, according to different application scenarios, select different influence procedure parameters to adjust the audio parameter of the output audio frequency of terminal to realize that mobile terminal self-adaptation adjusts the audio parameter, provide the optimal audio, promote user experience.
Drawings
Fig. 1 is a schematic structural diagram of a mobile terminal in an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for adjusting audio parameters according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for obtaining an environmental impact parameter according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for obtaining an influence degree parameter of a terminal according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The embodiment of the invention provides a mobile terminal which can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a multimedia player, a smart watch and the like. Referring to fig. 1, the mobile terminal includes: a playing component 11, a sound receiving component 12 and a processor 2. Here, the playing component 11 may be a Speaker (SPK, Speaker) or a Receiver (RCV, Receiver), and the sound receiving component 12 may be a MICrophone (MIC) or an MIC array. The acoustic components (SPK/RCV/MIC) used herein may be conventional mainstream devices, or may be selected according to the requirement of detection accuracy, for example, devices with high power and large receiving/transmitting bandwidth may be used, and the present invention is not limited in particular.
In the embodiment of the present invention, the playing component 11 is used as an output module for detection, the sound receiving component 12 is used as a receiving module for detection,
the following is a method for adaptively adjusting audio parameters provided by the embodiment of the present invention in combination with the mobile terminal.
Referring to fig. 2, the method includes:
s201: playing original detection sound waves;
specifically, after a trigger event occurs, the mobile terminal controls the playing component to play the original detection sound wave.
Here, the trigger event may be that a user starts an audio parameter optimization function, a preset detection period arrives, or the mobile terminal is powered on and started, or the like, and certainly, there may be other trigger events, which is not specifically limited in the present invention.
S202: recording the detected reflected sound waves to obtain N recorded sound waves;
here, N is a positive integer of 1 or more;
specifically, after the original detection sound waves are played, the original detection sound waves are transmitted in the environment where the mobile terminal is located and reflected back to the mobile terminal, at this time, the sound receiving component can receive the sound waves reflected in one or more transmission directions, the sound waves are detection reflection sound waves, and the detection reflection sound waves are recorded to obtain N recording sound waves.
In practical applications, S202 may include: the detection reflected sound waves are subjected to high-definition recording to obtain N recording sound waves, namely, the high-definition recording technology is adopted for recording, at the moment, the sound receiving device can be an MIC array and is arranged at different positions of the mobile terminal to receive the detection reflected sound waves in a plurality of propagation directions, then, the detection reflected sound waves are preprocessed by the processor, such as noise suppression, echo elimination and the like, a lossless coding technology with high sampling rate (such as 48kHz and above) and large coding bit depth (such as 24bits and above) can be further adopted, and therefore the recording file can more vividly restore the sound field of the recording environment, and acoustic response information of the recording environment is recorded more perfectly.
S203: analyzing the acoustic characteristics of the N sound waves to obtain the degree of the influence parameters;
in a specific implementation process, S203 includes: acquiring an influence degree parameter of the environment based on the derived sound waves of the N recorded sound waves; and obtaining the influence program parameters of the terminal based on the N attenuated sound waves.
The above-described acoustic feature analysis process is explained in detail below.
Referring to fig. 3, the step of obtaining the environmental influence degree parameter based on the derived sound waves of the N recorded sound waves includes:
s301: carrying out echo suppression on the N recording sound waves to obtain N derived sound waves;
specifically, the mobile terminal performs echo suppression on the N recorded sound waves, removes attenuated sound waves included in the recorded sound waves, and obtains N clean derived sound waves.
S302: obtaining an environmental acoustic characteristic index based on the N derived sound waves;
in a specific implementation process, S302 may include: calculating sound pressure values of the N derived sound waves; selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value; compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves; and carrying out acoustic analysis on the environment derived sound waves to obtain an environment acoustic characteristic index.
Specifically, in the first step, a mobile terminal obtains sound pressure values of N derived sound waves through an A weighting algorithm, in the second step, one derived sound wave with the highest sound pressure value is selected from the derived sound waves to serve as a basic derived sound wave, in the third step, the remaining N-1 derived sound waves are gathered to obtain environmental sound field parameters, and the basic derived sound waves are compensated to obtain environmental derived sound waves; and fourthly, performing acoustic analysis on the environment-derived sound waves to obtain an environment acoustic characteristic index, wherein the environment acoustic characteristic index comprises but is not limited to: frequency Response (FR) curve, Noise output Level (Noise Level), Sound Pressure characteristic (SPL), and the like, and of course, other indexes may be used, and the present invention is not limited in particular.
Here, the step of acquiring the ambient sound field parameters by the remaining N-1 derived sound waves in the set may include: firstly, gate function interception and Fast Fourier Transform (FFT) are respectively performed on the remaining N-1 derived sound waves to obtain FR curves of each derived sound wave, and then the FR curves are processed by a sound pressure test algorithm to obtain environmental sound field parameters. Of course, in practical applications, there may be other ways to obtain the ambient sound field parameters, and the present invention is not limited in particular.
S303: and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
Specifically, the mobile terminal may perform the above-mentioned acoustic feature analysis on the original probe sound wave in advance or while performing S302, so as to obtain an acoustic feature index of the original probe sound wave, and then, after S302, compare the environmental acoustic feature index with the acoustic feature index of the original probe sound wave, and find difference points of the indexes, where the difference points are the influence degree parameters of the environment.
Through the above process, an influence degree parameter of the environment is calculated, and the parameter represents the influence degree of the environment on the audio parameter.
Referring to fig. 4, the step of obtaining the parameters of the influencing program of the terminal based on the N attenuated sound waves includes:
s401: extracting attenuated sound waves contained in the N sound recording files;
s402: acquiring a terminal acoustic characteristic index based on the N attenuated sound waves;
in a specific implementation process, S402 may include: calculating sound pressure values of the N attenuated sound waves; selecting an attenuated sound wave from the N attenuated sound waves of the recording sound waves as a basic attenuated sound wave based on the sound pressure value; compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves; and carrying out acoustic analysis on the terminal attenuation sound wave to obtain a terminal acoustic characteristic index.
Specifically, the method is the same as the processing method of the derivative sound waves, the first step is that the mobile terminal calculates the sound pressure values of the obtained N attenuation sound waves through an A weighting algorithm, the second step is that the mobile terminal selects one attenuation sound wave meeting the analysis requirement from the N attenuation sound waves as a basic attenuation sound wave, and the third step is that the basic attenuation sound wave is compensated by collecting the rest N-1 attenuation sound waves to obtain the terminal attenuation sound wave; and fourthly, carrying out acoustic analysis on the terminal attenuated sound waves to obtain a terminal acoustic characteristic index, wherein the terminal acoustic characteristic index comprises but is not limited to: FR curves, Noise Level, SPL, etc., although other indicators may be used, the present invention is not limited specifically.
S403: and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the terminal.
Specifically, the mobile terminal compares the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to find out difference points of the indexes, and the difference points are the influence degree parameters of the terminal.
Through the above process, the influence degree parameter of the terminal is calculated, and the parameter represents the influence degree of the terminal on the audio parameter.
S204: and adjusting the audio parameters of the output audio of the mobile terminal by adopting the corresponding influence degree parameters according to a preset strategy.
Specifically, after obtaining the environmental influence degree parameter and the terminal influence degree parameter, the mobile terminal can select different influence degree parameters to adjust the audio parameter of the audio output by the mobile terminal according to a preset strategy and aiming at different application scenes. Here, the audio parameters include, but are not limited to, one or more of the following parameters: gain (Gain) of the parametric filter, cut-off frequency point (Fh), quality factor (Q), noise suppression (VAD) parameters, Analog-Gain (Analog-Gain), and Digital-Gain (Digital-Gain), etc.
For example, when the mobile terminal is currently running a multimedia playing application, the audio parameter is adjusted by adopting the environmental impact degree parameter and the terminal impact degree parameter; when the mobile terminal is currently running a recording and playing application, adjusting the audio parameters by adopting the environmental influence degree parameters; and when the mobile terminal is currently running the voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters. Of course, other preset strategies may exist, and the present invention is not particularly limited.
In practical applications, no matter which influence degree parameter is adopted to condition the audio parameter, the FR curve, Noise Level, and SPL are used to adjust the audio parameter of the mobile terminal. Of course, the acoustic characteristic index is also used to adjust other audio parameters of the mobile terminal, and the present invention is not limited in particular.
For example, using an FR curve to perform compensation setting on filter parameters of a play channel or a call downlink channel — adjusting parameters of a parameter filter for a measured depressed part of the FR curve, including modifying a gain value for a depressed depth, setting Fh according to a depressed position, and setting a Q value according to a depressed bandwidth, and finally compensating the depression on the FR curve using the filter, or performing targeted compensation on an EQ parameter (frequency domain) in a play optimization algorithm;
modifying VAD parameters in call audio parameters by using a measured value of Noise Level, wherein the VAD parameters include but are not limited to threshold values of various Noise detections, various parameters of a Noise filter and the like; the signal-to-noise ratio of the playing channel signal can also be improved by modifying the similar noise threshold in the playing optimization algorithm. When the Noise-Level value is raised, the VAD threshold needs to be raised, so that Noise can be better suppressed, but inevitably, more useful signal is lost, so that the raised amplitude is empirically selected.
And (3) modifying the power amplifier Analog-gain or modifying the Digital-gain on the audio signal Digital channel by using the SPL according to the requirement of the actual human ear on the loudness.
In another embodiment, a threshold value may be set for each of the parameter of the degree of influence of the environment and the parameter of the degree of influence of the terminal, and when the parameter of the degree of influence of the environment and the parameter of the degree of influence of the terminal are smaller than the corresponding threshold values, the corresponding parameter of the degree of influence is used to adjust the audio parameter of the audio output by the mobile terminal.
According to the method, the influence degree parameters of the terminal and the influence degree parameters of the environment are obtained respectively through analysis of the detected reflected sound waves, then different influence program parameters are selected to adjust the audio parameters of the output audio of the terminal according to different application scenes, so that the mobile terminal can adjust the audio parameters in a self-adaptive mode, the optimal sound effect is provided, and the user experience is improved.
Based on the same inventive concept, embodiments of the present invention provide a mobile terminal, which is consistent with the mobile terminal described in one or more embodiments above.
Referring to fig. 1, the mobile terminal includes: a playing component 11, a radio receiving component 12 and a processor 2; the playing component 11 is used for playing original detection sound waves; the sound receiving assembly 12 is used for recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of original detected sound waves, and N is a positive integer greater than or equal to 1; the processor 2 is used for analyzing the acoustic characteristics of the N sound waves to obtain an environmental influence program parameter and a terminal influence degree parameter; and adjusting the audio parameters of the output audio of the mobile terminal by adopting the corresponding influence degree parameters according to a preset strategy.
In the above scheme, the sound receiving component 12 is specifically configured to perform high-definition recording on the detected reflected sound waves to obtain N recording sound waves.
In the above scheme, the processor 3 is specifically configured to obtain an influence degree parameter of the environment based on the derived sound waves of the N recorded sound waves; based on the N attenuated sound waves of the recording sound waves, the influence program parameters of the terminal are obtained.
In the above scheme, the processor 2 is specifically configured to perform echo suppression on the N recorded sound waves to obtain N derived sound waves; obtaining an environmental acoustic characteristic index based on the N derived sound waves; and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
In the above scheme, the processor 2 is specifically configured to calculate sound pressure values of the N derived sound waves; selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value; compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves; and carrying out acoustic analysis on the environment derived sound waves to obtain an environment acoustic characteristic index.
In the above scheme, the processor 2 is specifically configured to extract attenuated sound waves included in the N sound recording files; acquiring a terminal acoustic characteristic index based on the N attenuated sound waves; and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the terminal.
In the above scheme, the processor 2 is specifically configured to calculate sound pressure values of N attenuated sound waves; selecting one attenuated sound wave from the N attenuated sound waves as a basic attenuated sound wave based on the sound pressure value; compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves; and carrying out acoustic analysis on the terminal attenuation sound wave to obtain a terminal acoustic characteristic index.
In the above scheme, the processor 2 is specifically configured to adjust the audio parameter by using the environmental impact degree parameter and the terminal impact degree parameter when the mobile terminal is currently running a multimedia playing application; when the mobile terminal is currently running a recording and playing application, adjusting the audio parameters by adopting the environmental influence degree parameters; and when the mobile terminal is currently running the voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters.
In the above solution, the playing component 11 is a speaker or a receiver; the sound pickup assembly 12 is a microphone or a microphone array.
It should be noted that the description of the above embodiment of the mobile terminal is similar to the description of the method, and has the same beneficial effects as the embodiment of the method, and therefore, the detailed description is omitted. For technical details that are not disclosed in the embodiment of the mobile terminal of the present invention, those skilled in the art should refer to the description of the embodiment of the method of the present invention to understand that, for brevity, detailed description is omitted here.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (18)
1. A method for adjusting audio parameters is applied to a mobile terminal, and is characterized by comprising the following steps:
playing original detection sound waves;
recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of the original detected sound waves, and N is a positive integer greater than or equal to 1;
analyzing acoustic characteristics of the N sound waves to obtain an influence degree parameter of the environment and an influence degree parameter of the terminal;
and adjusting the audio parameters of the output audio of the mobile terminal by adopting at least one of the influence degree parameters of the environment and the influence degree parameters of the terminal according to a preset strategy and the application currently running by the mobile terminal.
2. The method of claim 1, wherein said recording the detected reflected acoustic waves to obtain N recorded acoustic waves comprises:
and carrying out high-definition recording on the detection reflected sound waves to obtain the N recording sound waves.
3. The method of claim 1, wherein said analyzing the acoustic characteristics of said N recorded sound waves to obtain a degree of influence parameter comprises:
obtaining an influence degree parameter of the environment based on the derived sound waves of the N recorded sound waves;
and obtaining the influence degree parameter of the terminal based on the N attenuated sound waves of the recording sound waves.
4. The method of claim 3, wherein said obtaining a parameter of a degree of influence of said environment based on a derivative of said N recorded sound waves comprises:
performing echo suppression on the N recording sound waves to obtain N derived sound waves;
obtaining an environmental acoustic characteristic index based on the N derived sound waves;
and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
5. The method of claim 4, wherein said obtaining a parameter of a degree of influence of said environment based on a derivative of said N recorded sound waves comprises:
calculating sound pressure values of the N derived sound waves;
selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value;
compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves;
and carrying out acoustic analysis on the environment derived sound wave to obtain the environment acoustic characteristic index.
6. The method according to claim 3, wherein the obtaining of the influence degree parameter of the terminal based on the attenuated sound waves of the N recording sound waves comprises:
extracting attenuated sound waves contained in the N sound recording files;
acquiring a terminal acoustic characteristic index based on the N attenuated sound waves;
and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain an influence degree parameter of the terminal.
7. The method according to claim 6, wherein the obtaining a terminal acoustic characteristic index based on the N attenuated sound waves comprises:
calculating sound pressure values of the N attenuated sound waves;
selecting one attenuated sound wave from the N attenuated sound waves as a basic attenuated sound wave based on the sound pressure value;
compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves;
and carrying out acoustic analysis on the terminal attenuation sound wave to obtain the terminal acoustic characteristic index.
8. The method according to claim 1, wherein the adjusting, according to a preset policy, the audio parameter of the audio output by the mobile terminal according to the application currently running by the mobile terminal by using at least one of the parameter of the degree of influence of the environment and the parameter of the degree of influence of the terminal comprises:
when the mobile terminal is currently running a multimedia playing application, adjusting the audio parameter by adopting the environmental influence degree parameter and the terminal influence degree parameter;
when the mobile terminal currently runs a recording and playing application, adjusting the audio parameter by adopting the environmental influence degree parameter;
and when the mobile terminal currently runs a voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters.
9. The method of any of claims 1-8, wherein the audio parameters comprise one or more of the following parameters: gain of the parametric filter, cut-off frequency point Fh, quality factor Q, noise suppression VAD parameters, Analog Gain-Gain, and Digital Gain-Gain.
10. A mobile terminal, comprising: the device comprises a playing component, a radio receiving component and a processor; wherein the content of the first and second substances,
the playing component is used for playing original detection sound waves;
the sound receiving assembly is used for recording the detected reflected sound waves to obtain N recorded sound waves, wherein the detected reflected sound waves are reflected waves of the original detected sound waves, and N is a positive integer greater than or equal to 1;
the processor is used for analyzing acoustic characteristics of the N sound waves to obtain an influence degree parameter of the environment and an influence degree parameter of the terminal; and adjusting the audio parameters of the audio output by the mobile terminal by adopting at least one of the influence degree parameters of the environment and the influence degree parameters of the terminal according to a preset strategy and the application currently running by the mobile terminal.
11. The mobile terminal according to claim 10, wherein the sound receiving component is specifically configured to perform high-definition recording on the detected reflected sound waves to obtain the N recorded sound waves.
12. The mobile terminal according to claim 10, wherein the processor is specifically configured to obtain the parameter of the degree of influence of the environment based on a derived sound wave of the N recorded sound waves; and obtaining the influence degree parameter of the terminal based on the N attenuated sound waves of the recording sound waves.
13. The mobile terminal according to claim 12, wherein the processor is specifically configured to perform echo suppression on the N recorded sound waves to obtain N derived sound waves; obtaining an environmental acoustic characteristic index based on the N derived sound waves; and comparing the environmental acoustic characteristic index with the acoustic characteristic index of the original detection sound wave to obtain the influence degree parameter of the environment.
14. The mobile terminal according to claim 13, wherein the processor is specifically configured to calculate sound pressure values of the N derived sound waves; selecting one derived sound wave from the N derived sound waves as a basic derived sound wave based on the sound pressure value; compensating the basic derived sound waves by using the remaining N-1 derived sound waves to obtain environment derived sound waves; and carrying out acoustic analysis on the environment derived sound wave to obtain the environment acoustic characteristic index.
15. The mobile terminal according to claim 12, wherein the processor is specifically configured to extract attenuated sound waves contained in the N sound recording files; acquiring a terminal acoustic characteristic index based on the N attenuated sound waves; and comparing the acoustic characteristic index of the terminal with the acoustic characteristic index of the original detection sound wave to obtain an influence degree parameter of the terminal.
16. The mobile terminal according to claim 15, wherein the processor is specifically configured to calculate sound pressure values of the N attenuated sound waves; selecting one attenuated sound wave from the N attenuated sound waves as a basic attenuated sound wave based on the sound pressure value; compensating the basic attenuated sound waves by using the remaining N-1 attenuated sound waves to obtain terminal attenuated sound waves; and carrying out acoustic analysis on the terminal attenuation sound wave to obtain the terminal acoustic characteristic index.
17. The mobile terminal according to claim 10, wherein the processor is specifically configured to adjust the audio parameter using the environmental impact degree parameter and the terminal impact degree parameter when the mobile terminal is currently running a multimedia playing application; when the mobile terminal currently runs a recording and playing application, adjusting the audio parameter by adopting the environmental influence degree parameter; and when the mobile terminal currently runs a voice call application, adjusting the audio parameters by adopting the terminal influence degree parameters.
18. The mobile terminal of any of claims 10 to 17, wherein the playing component is a speaker or a receiver; the sound receiving component is a microphone or a microphone array.
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| CN201510697554.6A CN106612482B (en) | 2015-10-23 | 2015-10-23 | Method for adjusting audio parameters and mobile terminal |
| PCT/CN2016/070515 WO2016184138A1 (en) | 2015-10-23 | 2016-01-08 | Method, mobile terminal and computer storage medium for adjusting audio parameters |
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| CN107749925B (en) * | 2017-10-31 | 2020-12-04 | 北京小米移动软件有限公司 | Audio playing method and device |
| CN109754821B (en) | 2017-11-07 | 2023-05-02 | 北京京东尚科信息技术有限公司 | Information processing method and system, computer system and computer readable medium |
| CN108418961B (en) * | 2018-02-13 | 2021-07-30 | 维沃移动通信有限公司 | Audio playing method and mobile terminal |
| CN109121068A (en) * | 2018-07-04 | 2019-01-01 | 广州视源电子科技股份有限公司 | Sound effect control method and device and electronic equipment |
| CN109168118A (en) * | 2018-07-04 | 2019-01-08 | 广州视源电子科技股份有限公司 | Reverberation detection method and device and electronic equipment |
| CN111045635B (en) * | 2018-10-12 | 2021-05-07 | 北京微播视界科技有限公司 | Audio processing method and device |
| CN109613523B (en) * | 2018-10-23 | 2023-04-07 | 南通赛洋电子有限公司 | Probe instrument signal preprocessing circuit |
| CN110297543B (en) * | 2019-06-28 | 2022-05-20 | 维沃移动通信有限公司 | Audio playing method and terminal equipment |
| CN113727240B (en) | 2020-05-26 | 2024-06-14 | 南宁富联富桂精密工业有限公司 | Sound playing adjusting method and portable device |
| CN111880982B (en) * | 2020-07-30 | 2023-08-08 | 南京星火技术有限公司 | Performance debugging method and device of radio frequency piezoelectric device and related products |
| CN113709619A (en) * | 2021-08-31 | 2021-11-26 | Oppo广东移动通信有限公司 | Audio processing method and device, user terminal and computer readable medium |
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