CN112969115B - Tone quality optimization method of wireless earphone and related equipment - Google Patents
Tone quality optimization method of wireless earphone and related equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
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Abstract
The embodiment of the application discloses a tone quality optimization method of a wireless earphone and related equipment, wherein the method comprises the following steps: acquiring feature information and audio source information of current audio in the wireless headset; determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information; and optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone. By means of the voice quality optimization method and device, pertinence and intelligent degree of voice quality optimization strategies can be improved, and therefore voice quality optimization effects are improved. Finally, when the wireless earphone plays the target audio after the optimization processing, the wireless earphone can present higher tone quality matching degree, and the audio playing requirement is better realized.
Description
Technical Field
The application relates to the technical field of wireless earphones, in particular to a tone quality optimization method of a wireless earphone and related equipment.
Background
With the popularization of earphones, most users have increasingly more requirements on the functions of the earphones, and the earphones are not limited to the functions provided by wired earphones, but also are expected to be more convenient and fast, and can adapt to more application scenes, such as answering a call when driving a car, getting rid of the constraint of mutually wound earphone wires and the like. Therefore, the wireless earphone is produced and rapidly popularized, and is widely applied.
Although wireless headsets are free of headset cords so that they are convenient, they are really better than wired headsets in terms of intelligence. However, since the wireless headset does not have a headset cable as a carrier for audio transmission, the stability and anti-interference performance of the wireless headset in terms of signal transmission are inferior to those of a wired headset, and thus the tone quality of the wireless headset is poor and needs to be improved.
Disclosure of Invention
The embodiment of the application provides a tone quality optimization method of a wireless earphone and related equipment. Promote the intelligent degree that wireless earphone tone quality optimized to this promotes wireless earphone broadcast tone quality effect.
In one aspect, a method for optimizing sound quality of a wireless headset includes:
acquiring feature information and audio source information of current audio in the wireless headset;
determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information;
and optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone.
In one aspect, an apparatus for optimizing sound quality of a wireless headset, the apparatus comprising:
the acquisition unit is used for acquiring the characteristic information of the current audio in the wireless headset and the audio source information;
the determining unit is used for determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information;
and the processing unit is used for optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio and sending the optimized target audio to the wireless earphone.
In one aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps of the method.
Accordingly, embodiments of the present application provide a computer-readable storage medium for storing computer program instructions for a terminal, which includes a program for performing the steps of the method described above.
Accordingly, embodiments of the present application provide a computer program product or a computer program, where the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium, and when the computer instructions are executed by a processor of a computer device, the computer instructions perform the methods in the embodiments described above. The computer program product may be a software installation package.
Therefore, in the embodiment of the application, a terminal in communication connection with a wireless headset determines a tone quality optimization strategy for a current audio by acquiring feature information and audio source information of the current audio of the wireless headset. The pertinence and the intelligent degree of the tone quality optimization strategy can be improved, and therefore the tone quality optimization effect is improved. Finally, when the wireless earphone plays the target audio after the optimization processing, the wireless earphone can present higher tone quality matching degree, and the audio playing requirement is better realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a sound quality optimization system of a wireless headset according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a sound quality optimization method for a wireless headset according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another sound quality optimization method for a wireless headset according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of functional units of a sound quality optimization apparatus for a wireless headset according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
At present, although the wireless earphone is free from the earphone wire, the wireless earphone is better than the wired earphone in the aspects of convenience and intelligence. However, since the wireless headset does not have a headset wire as a carrier for audio transmission, the stability and the anti-interference performance of the wireless headset in terms of signal transmission are inferior to those of a wired headset, and thus the tone quality of the wireless headset is poor and needs to be improved.
In view of the above problems, an embodiment of the present application provides a method for optimizing sound quality of a wireless headset, which is applied to a terminal. The following detailed description is made with reference to the accompanying drawings.
First, please refer to the schematic structural diagram of the sound quality optimization system 100 of the wireless headset shown in fig. 1, which includes a terminal 110 and a wireless headset 120.
The terminal 110 may include various handheld devices (e.g., smart phones, tablet computers, etc.) having a wireless communication function, vehicle-mounted devices, wearable devices (smart watches, smart bands, wireless headsets, augmented reality/virtual reality devices, smart glasses), computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), mobile Stations (MS), terminals (terminal device), and so on. For convenience of description, the above-mentioned terminals are collectively referred to as electronic devices.
The wireless earphone 120 is a radio receiver, in which the middle line is replaced by electric waves, and the wireless earphone is connected to the transmitting end from the audio outlet of the terminal 110, and then the transmitting end transmits the electric waves to the earphone of the receiving end, wherein the receiving end is equivalent to a radio receiver. Three types of target wireless headsets are known: one is a Bluetooth earphone, the other is an infrared earphone, and the other is 2.4G.
The Wireless headset 120 according to the embodiment of the present application may be a True Wireless Stereo (TWS) headset. Compared with the traditional wired earphone, the TWS earphone adopts Bluetooth connection and transmission, and has small volume, good sound quality and rich functions. The left and right earphones of the TWS earphone are mutually independent and are not connected by cables, and the wireless separation of the left and right sound channels can be realized.
The earphone of this application embodiment can be the intelligent earphone that includes the artificial intelligence chip, and still can include microprocessor among the intelligent earphone, microprocessor and artificial intelligence chip among the intelligent earphone come interconnect communication through the dedicated channel, but microprocessor independent control intelligence earphone work, microprocessor also can be under the guide of artificial intelligence chip control intelligence earphone work, some intelligent control strategies can be exported for microprocessor to the artificial intelligence chip, guide the better work of microprocessor. The microprocessor can construct a microprocessor software platform, the artificial intelligence chip can construct an artificial intelligence chip software platform, the microprocessor software platform and the artificial intelligence chip software platform are two mutually independent software platforms, and the artificial intelligence chip software platform is in communication connection with the microprocessor software platform.
Wherein, artificial intelligence chip and microprocessor all can be through bluetooth communication module or wired link and mobile terminal communication connection, and mobile terminal can be through sending dormancy instruction to the microprocessor of arbitrary one intelligent earphone in intelligent earphone pair (intelligent earphone pair is including two earphones that pair), and this microprocessor gets into dormant state from waking up the state, and when the microprocessor of intelligent earphone was in dormant state, the audio playback function of this intelligent earphone will be invalid so. The mobile terminal can also instruct the artificial intelligence chip to inform the microprocessor to enter the awakening state from the dormancy state by sending the awakening instruction to the artificial intelligence chip of the intelligent earphone. In some possible embodiments, the artificial intelligence chip may always be in the wake-up state when the power is normally supplied. In some possible embodiments, the microprocessor in the sleep state can only receive the instruction from the artificial intelligence chip, that is, the dedicated channel between the microprocessor and the artificial intelligence chip is not closed at this time, but all other communication channels of the microprocessor are in the closed state, and for example, the microprocessor in the sleep state can only receive the instruction from the artificial intelligence chip, that is, the microprocessor in the sleep state can only be woken up by the artificial intelligence chip. When the artificial intelligence chip wakes up the microprocessor in the dormant state and fails, the artificial intelligence chip can be switched to the working mode of the microprocessor, the microprocessor is replaced to control the intelligent earphone to work in the coming time, and when the artificial intelligence chip is switched to the working mode of the microprocessor, the audio playing function of the intelligent earphone can normally run under the support of the artificial intelligence chip.
The technical solution of the embodiment of the present application may be implemented based on the communication system with the architecture illustrated in fig. 1 by way of example or a modified architecture thereof.
Referring to fig. 2, fig. 2 is a schematic flowchart of a sound quality optimization method for a wireless headset according to an embodiment of the present application, where the method may include, but is not limited to, the following steps:
201. and acquiring the characteristic information and the audio source information of the current audio in the wireless earphone.
Specifically, the wireless earphone and the terminal are in communication connection, and the connection mode can be Bluetooth connection, wireless high-fidelity WIFI connection, LTE connection and the like. The terminal can acquire the audio currently played in the wireless headset in real time or according to a certain period, and further acquire the characteristic information and the audio source information of the audio according to the audio. The characteristic information comprises any one or more of transmission rate, signal strength, delay degree and packet loss rate, and the audio source information comprises local input or external input. The method comprises the steps of locally inputting audio files stored in a local terminal or played by an APP of the local terminal, and the like, and inputting audio files when the local terminal and other terminals carry out video, voice or conversation.
202. And determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information.
Specifically, it can be understood that the sound quality optimization strategy determined for different feature information or source information of the current audio is different. For example, the current audio source is a local input, and the tone adjustment, tone beautification, sound line processing, sound mixing processing and the like may be more emphasized when the sound quality is optimized. For another example, the current audio source is an external input, so that when the sound quality is optimized, the noise elimination and the sound continuity may be emphasized, and the signal delay and the packet loss rate are reduced.
203. And optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone.
Specifically, after the tone quality optimization strategy is determined, the terminal can perform optimization processing on the current audio according to the tone quality optimization strategy, and the processing mode can perform intelligent processing by adopting a pre-trained neural network model to obtain the target audio after optimization processing. The sending mode can be real-time sending or short interval, and the optimized target audio can be sent to the wireless earphone in a period capable of guaranteeing the continuity of information transmission.
Therefore, in the embodiment of the application, a terminal in communication connection with a wireless headset determines a tone quality optimization strategy for a current audio by acquiring feature information and audio source information of the current audio of the wireless headset. The pertinence and the intelligent degree of the tone quality optimization strategy are improved, and therefore the tone quality optimization effect is improved. Finally, when the wireless earphone plays the target audio after the optimization processing, higher tone quality matching degree can be presented, and the audio playing requirement is better ensured.
In accordance with the embodiment shown in fig. 2, please refer to fig. 3, fig. 3 is a schematic flowchart of another sound quality optimization method for a wireless headset according to an embodiment of the present application, including:
301. and acquiring the characteristic information and the audio source information of the current audio in the wireless earphone.
Step 301 refers to step 201, and is not described herein again.
302. And when the current audio is determined to be the local input audio according to the audio source information, acquiring the ear canal information of the current user, and obtaining the ear canal atlas of the current user according to the ear canal information of the current user.
Specifically, it can be understood that when it is determined that the current audio is the local input audio, it is required to know the sound quality optimization strategy, improve the sound quality, and obtain the ear canal information of the current user, because there is a large difference between ear canals of different users, and the external ear refers to the ear part that can be seen from the outside of the human body, i.e., the auricle and the external ear canal. The middle ear consists of the tympanic membrane, the middle ear cavity and the ossicular chain. The inner ear is located within the temporal petrosal portion and includes the semicircular canal, the vestibule, and the cochlea. The various components of the ear canal have different structures and functions and the ear canal information is different for different users. Therefore, after obtaining the ear canal information of the current user, the ear canal atlas of the current user can be further obtained. And the subsequent determination of the tone quality optimization strategy is facilitated.
303. And determining a first optimization strategy aiming at the current audio according to the characteristic information and the ear canal atlas of the current user, and taking the first optimization strategy as the sound quality optimization strategy.
Specifically, after the terminal acquires feature information of the current audio and an ear canal atlas of the current user, a first optimization strategy for the current audio may be determined, and the first optimization strategy is used as a sound quality optimization strategy.
304. And optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone.
Step 304 refers to step 203, which is not described herein again.
Therefore, when the current audio is the local input audio, the ear canal information of the current user is obtained, and the sound quality optimization strategy is determined according to the current ear canal information and the characteristic information of the current audio, so that the intelligent degree of the sound quality optimization strategy is higher, and the sound quality optimization effect is improved.
In a possible example, the optimizing the current audio according to the sound quality optimization policy to obtain an optimized target audio includes: carrying out frequency equalization processing on the current audio according to the auditory canal atlas of the current user to obtain the audio after the frequency equalization processing; acquiring the transmission rate included in the characteristic information of the current audio, and judging whether the transmission rate meets a transmission rate threshold value; if not, carrying out low-noise amplification processing on the audio frequency after the frequency equalization processing to obtain the audio frequency after the low-noise amplification processing, and taking the audio frequency after the low-noise amplification processing as a target audio frequency.
Specifically, it can be understood that different ear canal atlases correspond to different ear canal conditions, and the sensitivity of different ear canal conditions to different frequencies, such as high, medium, and low, in the same audio frequency is different. Therefore, when the sound quality optimization strategy is adopted to optimize the current audio, the frequency equalization processing needs to be performed on the current audio, that is, the frequency components with different frequencies such as high, medium and low in the current audio are promoted or attenuated, so that the tone color of the sound source is beautified. And the defect of sound can be made up by adjusting the frequency, and the quality of the audio signal is improved, so that the basic requirement of frequency balance is met.
When the frequency equalization processing is carried out on the current audio, environment comprehensive parameters can be introduced, and the processing process is completed through a frequency equalization processing model. Namely, the current audio is subjected to frequency equalization processing according to the auditory canal atlas of the current user, and the audio subjected to frequency equalization processing is obtained. The environment comprehensive parameters include the noise type, the noise frequency and the like of the current environment. Noise classes such as wind noise, human noise, and other classes of noise, etc. The frequency equalization processing model is shown as the following formula:
wherein M represents the audio after the frequency equalization processing,
the initial frequency of the current audio, m is m audio files contained in the training sample data set, the value range of i is more than or equal to 1 and less than or equal to m, and alpha i Weight coefficient representing ear canal atlas, E i Is the value after vectorization representation of the auditory canal atlas, B i Weight coefficient, C, representing an environmental integral parameter i And expressing the value of the environment comprehensive parameter after vectorization expression.
In addition, when it is determined that the transmission rate included in the feature information of the current audio does not satisfy the transmission rate threshold, in order to improve the stability of audio signal transmission, it is necessary to perform low-noise amplification processing on the audio subjected to the frequency equalization processing to obtain an audio subjected to low-noise amplification processing, and the audio subjected to the low-noise amplification processing is used as a target audio. Wherein, the noise coefficient of the low noise amplifier is less than 0.7dB, and the gain range is 15dB-25dB. By adopting the high-performance low-noise amplifier, the signal-to-noise ratio of the current audio signal is greatly reduced, and the tone quality of the current audio is improved.
Therefore, when the terminal optimizes the local audio, the frequency equalization processing is carried out on the current audio according to the auditory canal atlas of the current user, the tone of the sound source can be beautified in a targeted manner, and the effect of frequency balance is achieved. And moreover, the low-noise amplifier is adopted, so that the interference caused by other signals can be reduced while the transmission rate of the audio signal is amplified, and the transmission stability is further improved.
In one possible example, the obtaining ear canal information of the current user and obtaining the ear canal atlas of the current user according to the ear canal information of the current user includes: playing prestored ultrasonic waves positioned in a first frequency band; acquiring first feedback information corresponding to the ultrasonic waves of the first frequency band, and drawing a first ear canal atlas of the current user according to the first feedback information; playing the ultrasonic waves which are stored in advance and are positioned in the second frequency band; acquiring second feedback information corresponding to the ultrasonic waves of the second frequency band, and drawing a second ear canal atlas of the current user according to the second feedback information; and fitting and optimizing the first auditory canal atlas and the second auditory canal atlas to obtain the auditory canal atlas of the current user.
Specifically, the frequency of the sound wave which can be heard by the human ear is 20 Hz-20000 Hz. Therefore, we refer to sound waves with frequencies above 20000Hz as "ultrasound". The frequency of the ultrasonic waves generally used for medical diagnosis is 1MHz to 30MHz. The ultrasonic waves of the first frequency band and the ultrasonic waves of the second frequency band are both above 20000Hz, but the frequency ranges are different. The ear canal information of ultrasonic detection can be obtained by detecting the specific structures of the current user, the middle ear and the inner ear by using a time difference ranging method. The frequency range of the detected ultrasonic waves is adjusted, and the accuracy of the test is improved through multiple tests. The accuracy of the test result may be affected by the large error of the conventional ultrasonic ranging. Therefore, by analyzing the reasons generated by ultrasonic ranging errors, the measuring time difference is increased to microsecond level, and after various types of temperature sensors are adopted for compensating the sound wave propagation speed, the accuracy of the first feedback information and the second feedback information is improved when the auditory meatus is tested by ultrasonic waves, and the measuring accuracy is reduced to millimeter level.
It is thus clear that, when the ultrasonic wave was used for reference and current user's duct information was obtained, not only utilized the ultrasonic wave of different frequency channels to promote the accuracy degree of feedback information for the duct atlas that draws based on the feedback information is more accurate, more can utilize temperature sensor to promote ultrasonic measurement's precision, reduces the error of duct measurement to the millimeter level. Further make the validity of the tone quality optimization strategy based on the ear canal atlas is confirmed, promote the tone quality optimization effect.
In one possible example, the determining a timbre optimization strategy for the current audio according to the feature information and the audio source information of the current audio includes: when the current audio is determined to be the external-end input audio according to the audio source information, acquiring the category of the current audio; acquiring any one or more of transmission rate, signal strength, delay degree and packet loss rate included in the characteristic information of the current audio, and determining transmission stability according to the characteristic information; and determining a second optimization strategy aiming at the current audio according to the category of the current audio and the transmission stability, and taking the second optimization strategy as the tone quality optimization strategy.
Specifically, when the terminal determines a tone quality optimization strategy for the current audio according to the feature information and the audio source information of the current audio, when the current audio is determined to be the external input audio according to the audio source information, the terminal determines the audio corresponding to the category video call of the current audio, the audio corresponding to the voice call, and the audio corresponding to the mobile communication. And then acquiring any one or more of transmission rate, signal strength, delay degree and packet loss rate included in the characteristic information of the current audio, and calculating the transmission stability of the current audio according to the comprehensive weighting of the characteristic information. For example, the stability value is 1-10, it can be preset that the stability is good when the external input audio frequency is greater than or equal to 8, and the stability is good when the local input audio frequency is greater than or equal to 6. And determining a second optimization strategy aiming at the current audio according to the category and the transmission stability of the current audio, and taking the second optimization strategy as a tone quality optimization strategy.
It is thus clear that to the current audio frequency of outer end input, according to the different classification of audio frequency to and the transmission stability who confirms according to characteristic information formulates tone quality optimization strategy, be convenient for promote tone quality optimization's pertinence, promote tone quality optimization effect.
In one possible example, the determining a second optimization strategy for the current audio according to the category of the current audio and the transmission stability, and using the second optimization strategy as the sound quality optimization strategy includes: determining a transmission stability threshold according to the category of the current audio; determining a stability difference value to be promoted according to the transmission stability threshold value and the transmission stability; and determining a second optimization strategy aiming at the current audio according to the stability difference to be improved, and taking the second optimization strategy as the sound quality optimization strategy.
Specifically, a mapping table of the audio category and the transmission stability threshold is set in advance, so that the corresponding transmission stability threshold can be determined according to the current audio category. Or the corresponding transmission stability threshold value can be obtained from the cloud in real time according to the category of the current audio. For example, if the current audio is the audio corresponding to the video call, the threshold of the transmission stability of the current audio is 8, and the value of the transmission stability of the current audio is 6, the difference of the stability to be improved is obtained by calculation as 2. Further, a second optimization strategy for the current audio is determined according to the stability difference to be improved, wherein the second optimization strategy can be to improve the transmitting power of the terminal so as to improve the communication distance with the wireless headset; or, if the wireless earphone is connected with the terminal through the WIFI, a connection switching instruction can be sent to the wireless earphone, the wireless earphone is instructed to switch the WIFI connection into the Bluetooth connection, and interference of WIFI signals is reduced.
Therefore, the stability difference value to be improved is determined through the transmission stability threshold value and the transmission stability, the tone quality optimization strategy is determined according to the stability difference value to be improved, and the tone quality of the current audio can be effectively improved through improving the transmission stability of the current audio.
In a possible example, the optimizing the current audio according to the sound quality optimization policy to obtain an optimized target audio includes: acquiring a compression strategy included in the tone quality optimization strategy, and compressing the current audio according to the compression strategy to obtain a compressed audio; acquiring a signal amplification strategy included in the sound quality optimization strategy, and performing signal amplification processing on a level signal which is lower than a level signal threshold value in the compressed audio according to the signal amplification strategy to obtain a first smoothed audio; and acquiring a signal reduction strategy included in the sound quality optimization strategy, and performing signal reduction processing on the level signal which is higher than a level signal threshold value in the compressed audio according to the signal reduction strategy to obtain a second smoothed audio, wherein the second smoothed audio is used as a target audio.
In specific implementation, when the current audio is optimized according to the tone quality optimization strategy, both the local input audio and the external input audio can be processed according to the strategy, and the current audio can also be distinguished according to the different optimization strategies. Taking the current audio as the external input audio as an example, the sound quality optimization strategy comprises a compression strategy, a signal amplification strategy, a signal reduction strategy and the like. The current audio is compressed, and part of information of the current audio is lost due to the compression, so that a compression strategy can be determined by adopting a pre-trained neural network, and the loss of key information is reduced. In addition, in order to reduce distortion and noise, the audio after the second smoothing processing can be obtained by performing signal reduction processing on the level signal higher than the level signal threshold value in the compressed audio, so as to improve the audio effect. And performing signal amplification processing on the level signal which is lower than the level signal threshold value in the compressed audio.
In addition, the volume control can be carried out on each input channel signal so as to achieve volume balance; the input channel is provided with a filter for eliminating certain noise in the current audio signal; the delay reverberation processing of the audio signal is included, so that the audio signal generates certain reverberation effect.
Therefore, the current audio is optimized according to the tone quality optimization strategy, the dynamic range of the audio signal can be effectively compressed or limited, the relative change range between the maximum level and the minimum level of the signal is reduced, and the purposes of reducing distortion and the like are achieved.
Referring to fig. 4, a functional unit diagram of a sound quality optimization apparatus 400 of a wireless headset according to an embodiment of the present invention is shown, where the sound quality optimization apparatus 400 of the wireless headset according to an embodiment of the present invention may be a built-in apparatus of an electronic device or may also be an external device of the electronic device.
In one implementation manner of the apparatus according to the embodiment of the present invention, the apparatus includes:
an obtaining unit 410, configured to obtain feature information of a current audio in the wireless headset and audio source information;
a determining unit 420, configured to determine, according to the feature information of the current audio and the audio source information, a sound quality optimization policy for the current audio;
and the processing unit 430 is configured to perform optimization processing on the current audio according to the sound quality optimization strategy to obtain an optimized target audio, and send the optimized target audio to the wireless headset.
In a possible example, in terms of determining the sound quality optimization strategy for the current audio according to the feature information of the current audio and the audio source information, the determining unit 420 is specifically configured to, when determining that the current audio is a local input audio according to the audio source information, obtain ear canal information of a current user, and obtain an ear canal atlas of the current user according to the ear canal information of the current user; and determining a first optimization strategy aiming at the current audio according to the characteristic information and the ear canal atlas of the current user, and taking the first optimization strategy as the sound quality optimization strategy.
In a possible example, in the aspect that the current audio is optimized according to the sound quality optimization strategy to obtain an optimized target audio, the processing unit 430 is specifically configured to perform frequency equalization processing on the current audio according to the ear canal atlas of the current user to obtain an audio after the frequency equalization processing; acquiring the transmission rate included in the characteristic information of the current audio, and judging whether the transmission rate meets a transmission rate threshold value; if not, carrying out low-noise amplification processing on the audio frequency after the frequency equalization processing to obtain the audio frequency after the low-noise amplification processing, and taking the audio frequency after the low-noise amplification processing as a target audio frequency.
In a possible example, in the aspect of acquiring the ear canal information of the current user and obtaining the ear canal atlas of the current user according to the ear canal information of the current user, the acquiring unit 410 is specifically configured to play the pre-stored ultrasonic wave located in the first frequency band; acquiring first feedback information corresponding to the ultrasonic waves of the first frequency band, and drawing a first ear canal atlas of the current user according to the first feedback information; playing the ultrasonic waves which are stored in advance and are positioned in the second frequency band; acquiring second feedback information corresponding to the ultrasonic wave of the second frequency band, and drawing a second ear canal atlas of the current user according to the second feedback information; and fitting and optimizing the first auditory canal atlas and the second auditory canal atlas to obtain the auditory canal atlas of the current user.
In a possible example, in terms of the determining, according to the feature information and the audio source information of the current audio, a sound quality optimization strategy for the current audio, the determining unit 420 is specifically configured to obtain the category of the current audio when it is determined that the current audio is an external-end input audio according to the audio source information; acquiring any one or more of transmission rate, signal strength, delay degree and packet loss rate included in the characteristic information of the current audio, and determining transmission stability according to the characteristic information; and determining a second optimization strategy aiming at the current audio according to the category of the current audio and the transmission stability, and taking the second optimization strategy as the tone quality optimization strategy.
In a possible example, in the aspect that the second optimization strategy for the current audio is determined according to the category of the current audio and the transmission stability, and the second optimization strategy is used as the sound quality optimization strategy, the determining unit 420 is specifically configured to determine the transmission stability threshold according to the category of the current audio; determining a stability difference value to be promoted according to the transmission stability threshold value and the transmission stability; and determining a second optimization strategy aiming at the current audio according to the stability difference to be improved, and taking the second optimization strategy as the sound quality optimization strategy.
In a possible example, in terms of optimizing the current audio according to the sound quality optimization strategy to obtain an optimized target audio, the processing unit 430 is specifically configured to obtain a compression strategy included in the sound quality optimization strategy, and compress the current audio according to the compression strategy to obtain a compressed audio; acquiring a signal amplification strategy included in the sound quality optimization strategy, and performing signal amplification processing on a level signal which is lower than a level signal threshold value in the compressed audio according to the signal amplification strategy to obtain a first smoothed audio; and acquiring a signal reduction strategy included in the sound quality optimization strategy, and performing signal reduction processing on the level signal which is higher than a level signal threshold value in the compressed audio according to the signal reduction strategy to obtain a second smoothed audio, wherein the second smoothed audio is used as a target audio.
In some embodiments, the sound quality optimization apparatus for wireless headset may further include an input/output interface, a communication interface, a power supply, and a communication bus.
In the embodiment of the present application, the sound quality optimization apparatus of the wireless headset may perform the division of the functional units according to the above method, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 5 again, the structure of the electronic device according to the embodiment of the present invention is schematically illustrated, where the electronic device includes a power supply module and the like, and includes a processor 501, a storage device 502, and a communication interface 503. The processor 501, the storage device 502, and the communication interface 503 may exchange data with each other.
The storage device 502 may include volatile memory (volatile memory), such as random-access memory (RAM); the storage device 502 may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a solid-state drive (SSD), etc.; the storage device 502 may also comprise a combination of memories of the kind described above. The communication interface 503 is an interface for data interaction between internal devices of the electronic device, such as: between the storage device 502 and the processor 501.
The processor 501 may be a Central Processing Unit (CPU) 501. In one embodiment, the processor 501 may also be a Graphics Processing Unit (GPU) 501. The processor 501 may also be a combination of a CPU and a GPU. In one embodiment, the storage device 502 is used to store program instructions. The processor 501 may call the program instructions to perform the following steps:
acquiring feature information and audio source information of current audio in the wireless headset;
determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information;
and optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone.
In a possible example, in terms of the determining, according to the feature information of the current audio and the audio source information, a sound quality optimization strategy for the current audio, the processor 501 is specifically configured to, when it is determined that the current audio is a local input audio according to the audio source information, obtain ear canal information of a current user, and obtain an ear canal atlas of the current user according to the ear canal information of the current user; and determining a first optimization strategy aiming at the current audio according to the characteristic information and the ear canal atlas of the current user, and taking the first optimization strategy as the sound quality optimization strategy.
In a possible example, in the aspect that the current audio is optimized according to the sound quality optimization strategy to obtain an optimized target audio, the processor 501 is specifically configured to perform frequency equalization processing on the current audio according to the ear canal atlas of the current user to obtain an audio after the frequency equalization processing; acquiring the transmission rate included in the characteristic information of the current audio, and judging whether the transmission rate meets a transmission rate threshold value; if not, carrying out low-noise amplification processing on the audio frequency after the frequency equalization processing to obtain the audio frequency after the low-noise amplification processing, and taking the audio frequency after the low-noise amplification processing as a target audio frequency.
In a possible example, in the obtaining of the ear canal information of the current user and obtaining the ear canal atlas of the current user according to the ear canal information of the current user, the processor 501 is specifically configured to play the pre-stored ultrasonic wave located in the first frequency band; acquiring first feedback information corresponding to the ultrasonic waves of the first frequency band, and drawing a first ear canal atlas of the current user according to the first feedback information; playing the ultrasonic waves which are stored in advance and are positioned in the second frequency band; acquiring second feedback information corresponding to the ultrasonic waves of the second frequency band, and drawing a second ear canal atlas of the current user according to the second feedback information; and fitting and optimizing the first auditory canal atlas and the second auditory canal atlas to obtain the auditory canal atlas of the current user.
In a possible example, in terms of determining the sound quality optimization strategy for the current audio according to the feature information and the audio source information of the current audio, the processor 501 is specifically configured to obtain a category of the current audio when determining that the current audio is an external-end input audio according to the audio source information; acquiring any one or more of transmission rate, signal strength, delay degree and packet loss rate included in the characteristic information of the current audio, and determining transmission stability according to the characteristic information; and determining a second optimization strategy aiming at the current audio according to the category of the current audio and the transmission stability, and taking the second optimization strategy as the sound quality optimization strategy.
In one possible example, in the aspect that the second optimization strategy for the current audio is determined according to the category of the current audio and the transmission stability, and the second optimization strategy is used as the sound quality optimization strategy, the processor 501 is specifically configured to determine a transmission stability threshold according to the category of the current audio; determining a stability difference value to be promoted according to the transmission stability threshold value and the transmission stability; and determining a second optimization strategy aiming at the current audio according to the stability difference value to be improved, and taking the second optimization strategy as the tone quality optimization strategy.
In a possible example, in the aspect that the current audio is optimized according to the sound quality optimization strategy to obtain an optimized target audio, the processor 501 is specifically configured to obtain a compression strategy included in the sound quality optimization strategy, and compress the current audio according to the compression strategy to obtain a compressed audio; acquiring a signal amplification strategy included in the sound quality optimization strategy, and performing signal amplification processing on a level signal which is lower than a level signal threshold value in the compressed audio according to the signal amplification strategy to obtain a first smoothed audio; and acquiring a signal reduction strategy included in the sound quality optimization strategy, and performing signal reduction processing on the level signal which is higher than a level signal threshold value in the compressed audio according to the signal reduction strategy to obtain a second smoothed audio, wherein the second smoothed audio is used as a target audio.
Embodiments of the present application further provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform some or all of the steps of any of the methods as recited in the above method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the invention has been described with reference to a number of embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A method for optimizing sound quality of a wireless headset, the method comprising:
acquiring characteristic information and audio source information of the current audio in the wireless headset; the characteristic information comprises any one or more of transmission rate, signal strength, delay degree and packet loss rate, and the audio source information comprises local input or external input;
determining a tone quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information;
optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio, and sending the optimized target audio to the wireless earphone;
wherein the determining a sound quality optimization strategy for the current audio according to the feature information of the current audio and the audio source information comprises: when the current audio is determined to be the local input audio according to the audio source information, acquiring ear canal information of a current user, and obtaining an ear canal map of the current user according to the ear canal information of the current user;
and determining a first optimization strategy aiming at the current audio according to the characteristic information and the ear canal atlas of the current user, and taking the first optimization strategy as the sound quality optimization strategy.
2. The method according to claim 1, wherein the optimizing the current audio according to the sound quality optimization strategy to obtain an optimized target audio comprises:
carrying out frequency equalization processing on the current audio according to the auditory canal atlas of the current user to obtain the audio after the frequency equalization processing;
acquiring the transmission rate included in the characteristic information of the current audio, and judging whether the transmission rate meets a transmission rate threshold value;
if not, performing low-noise amplification processing on the audio frequency after the frequency equalization processing to obtain the audio frequency after the low-noise amplification processing, and taking the audio frequency after the low-noise amplification processing as a target audio frequency.
3. The method of claim 1, wherein the obtaining ear canal information of the current user and obtaining the ear canal atlas of the current user according to the ear canal information of the current user comprises:
playing prestored ultrasonic waves positioned in a first frequency band;
acquiring first feedback information corresponding to the ultrasonic waves of the first frequency band, and drawing a first ear canal atlas of the current user according to the first feedback information;
playing the ultrasonic waves which are stored in advance and are positioned in the second frequency band;
acquiring second feedback information corresponding to the ultrasonic waves of the second frequency band, and drawing a second ear canal atlas of the current user according to the second feedback information;
and fitting and optimizing the first auditory canal atlas and the second auditory canal atlas to obtain the auditory canal atlas of the current user.
4. The method according to claim 1, wherein the determining a timbre optimization strategy for the current audio according to the feature information and audio source information of the current audio comprises:
when the current audio is determined to be the external-end input audio according to the audio source information, acquiring the category of the current audio;
acquiring any one or more of transmission rate, signal strength, delay degree and packet loss rate included in the characteristic information of the current audio, and determining transmission stability according to the characteristic information;
and determining a second optimization strategy aiming at the current audio according to the category of the current audio and the transmission stability, and taking the second optimization strategy as the sound quality optimization strategy.
5. The method according to claim 4, wherein the determining a second optimization strategy for the current audio according to the category of the current audio and the transmission stability, and using the second optimization strategy as the sound quality optimization strategy comprises:
determining a transmission stability threshold according to the category of the current audio;
determining a stability difference value to be improved according to the transmission stability threshold value and the transmission stability;
and determining a second optimization strategy aiming at the current audio according to the stability difference value to be improved, and taking the second optimization strategy as the tone quality optimization strategy.
6. The method according to any one of claims 1 to 5, wherein the optimizing the current audio according to the timbre optimization strategy to obtain an optimized target audio comprises:
obtaining a compression strategy included by the sound quality optimization strategy, and compressing the current audio according to the compression strategy to obtain a compressed audio;
acquiring a signal amplification strategy included in the sound quality optimization strategy, and performing signal amplification processing on a level signal which is lower than a level signal threshold value in the compressed audio according to the signal amplification strategy to obtain a first smoothed audio;
and acquiring a signal reduction strategy included in the sound quality optimization strategy, and performing signal reduction processing on the level signal which is higher than a level signal threshold value in the compressed audio according to the signal reduction strategy to obtain a second smoothed audio, wherein the second smoothed audio is used as a target audio.
7. An apparatus for optimizing sound quality of a wireless headset, the apparatus comprising:
the acquisition unit is used for acquiring the characteristic information of the current audio in the wireless earphone and the audio source information; the characteristic information comprises any one or more of transmission rate, signal strength, delay degree and packet loss rate, and the audio source information comprises local input or external input;
the determining unit is used for determining a sound quality optimization strategy aiming at the current audio according to the characteristic information of the current audio and the audio source information;
the processing unit is used for optimizing the current audio according to the tone quality optimization strategy to obtain an optimized target audio and sending the optimized target audio to the wireless earphone; wherein the determining a sound quality optimization strategy for the current audio according to the feature information of the current audio and the audio source information comprises: when the current audio is determined to be the local input audio according to the audio source information, acquiring ear canal information of a current user, and obtaining an ear canal map of the current user according to the ear canal information of the current user;
and determining a first optimization strategy aiming at the current audio according to the characteristic information and the ear canal atlas of the current user, and taking the first optimization strategy as the sound quality optimization strategy.
8. An electronic device, comprising a processor, a memory to store one or more programs and configured to be executed by the processor, the programs including instructions for performing the steps in the method of any of claims 1-6.
9. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-6.
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