Mobile phone noise reduction protective shell, mobile phone noise reduction method and system

Abstract

The application relates to the field of noise reduction equipment, and provides a mobile phone noise reduction protective shell, a mobile phone noise reduction method and system. The method comprises the following steps: acquiring ear position information of a user during a call, wherein the ear position information represents a spatial position relationship between the user's ear and the mobile phone; determining a noise reduction model and noise reduction parameters based on the ear position information, wherein the noise reduction model at least comprises a neural network noise reduction model, and the noise reduction parameters at least comprise a loudspeaker adjustment angle, a sound wave transmission track and controller parameters of the noise reduction model; and implementing non-contact noise reduction on audio in a call process of the mobile phone based on the noise reduction model and the noise reduction parameters. The application solves the defects that the noise reduction effect is poor when a noise reduction earphone is used for a call and the user's ear is uncomfortable, the scheme can achieve the noise reduction effect without using an earphone during a mobile phone call, and the noise reduction effect can be improved in combination with visual information.

Description

Technical Field

[0001] This invention relates to the field of noise reduction equipment technology, and in particular to a mobile phone noise reduction protective case and a mobile phone noise reduction method and system. Background Technology

[0002] In today's living environment, strong noise sources are almost ubiquitous, such as traffic noise, construction noise, and electrical noise. As an indispensable tool for daily long-distance communication, mobile phones are affected by environmental noise, which seriously impacts the user experience and the transmission of voice information.

[0003] Users often choose to wear headphones for noise reduction when making phone calls. However, this adds an extra external device, affecting the portability of phone calls, and wearing headphones for a long time can also cause ear discomfort, resulting in a poor user experience. Summary of the Invention

[0004] This invention provides a mobile phone noise-canceling protective case, a mobile phone noise-canceling method, and a system to solve the problem of ear discomfort caused by using noise-canceling headphones for calls. The solution of this application can achieve noise cancellation without the need for headphones.

[0005] This invention provides a method for noise reduction in mobile phones, comprising:

[0006] Obtain the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0007] Based on the ear position information, a noise reduction model and noise reduction parameters are determined. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the speaker adjustment angle, the sound wave transmission trajectory, and the controller parameters of the noise reduction model.

[0008] Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is achieved for audio during mobile phone calls.

[0009] According to the mobile phone noise reduction method provided by the present invention, determining the noise reduction parameters based on the ear position information includes:

[0010] Based on the ear position information and the first correspondence, the current posture of the user's head is determined, where the first correspondence is the correspondence between the ear position information and the current posture of the user's head.

[0011] Based on the user's current head posture and the second correspondence, the speaker adjustment angle is determined, whereby the second correspondence is the correspondence between the user's current head posture and the optimal speaker adjustment angle.

[0012] Based on the speaker adjustment angle and the third correspondence, the sound wave transmission trajectory is determined, wherein the third correspondence is the correspondence between the speaker's current angle and the sound wave transmission trajectory.

[0013] According to the mobile phone noise reduction method provided by the present invention, the step of determining the noise reduction model based on ear position information includes:

[0014] Select and match the current ear location information from the ear location information database, which is constructed based on multiple ear location information of the user;

[0015] Based on the ear position information, a matching noise reduction model is selected from a pre-built noise reduction model library.

[0016] According to the mobile phone noise reduction method provided by the present invention, the noise reduction model library is constructed by the following method:

[0017] Store several types of ear position information of users and establish an ear position information database;

[0018] Record several types of noise that users encounter and establish a noise database;

[0019] Different neural network models are designed by randomly combining the ear position information and the noise.

[0020] The controller parameters of the neural network model are adjusted to establish a noise reduction model library under different ear position information and noise characteristics. The noise reduction model library includes a neural network model library, a controller parameter library, a speaker angle database for the sound-generating unit, and a sound wave transmission trajectory database for the sound-generating unit.

[0021] The present invention also provides a mobile phone noise reduction system, comprising:

[0022] The data acquisition module is used to acquire the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0023] The intelligent control module is used to determine the noise reduction model and noise reduction parameters based on the ear position information. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the speaker adjustment angle, the sound wave transmission trajectory, and the controller parameters of the noise reduction model.

[0024] The noise reduction module is used to perform non-contact noise reduction on the audio during a phone call based on the noise reduction model and the noise reduction parameters.

[0025] The present invention also provides a mobile phone noise-canceling protective case, comprising:

[0026] Noise reduction processing unit, used to execute mobile phone noise reduction methods;

[0027] A noise acquisition unit is used to acquire call audio and ambient noise, and transmit them to the noise reduction processing unit;

[0028] A sound-generating unit is used to output the sound processed by the noise reduction processing unit;

[0029] A communication unit is used to realize information transmission between the noise reduction processing unit, the noise acquisition unit, and the sound generation unit.

[0030] The power supply unit is used to supply power to the noise reduction processing unit, the noise acquisition unit, and the sound generation unit.

[0031] According to the mobile phone noise-canceling protective case provided by the present invention, the noise-canceling processing unit is implemented by an independent microprocessor and / or by the internal processor of the mobile phone.

[0032] According to the mobile phone noise-canceling protective case provided by the present invention, the noise acquisition unit includes a first microphone and a second microphone.

[0033] According to the mobile phone noise-canceling protective case provided by the present invention, the communication unit includes a communication interface, and the location of the communication interface corresponds to the location of the charging port of the mobile phone;

[0034] The communication interface is used to connect to the charging port for communication between the mobile phone and the noise-canceling protective case.

[0035] According to the mobile phone noise-canceling protective case provided by the present invention, the communication interface further includes a charging interface, and the charging interface is positioned corresponding to the position of the mobile phone's charging port.

[0036] The charging interface is used to connect to the charging port, allowing the phone to be charged via an external power source without disconnecting the power supply to the phone casing.

[0037] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement any of the mobile phone noise reduction methods described above.

[0038] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the mobile phone noise reduction methods described above.

[0039] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements any of the mobile phone noise reduction methods described above.

[0040] In the mobile phone noise reduction method provided by this invention, users can achieve noise reduction without using headphones. Specifically, the method can acquire the user's ear position information during a call. Based on the ear position information, the relative position of the mobile phone making the call and the user's ear can be determined. Furthermore, the optimal sound wave transmission trajectory during the call can be determined. Under this sound wave transmission trajectory, the audio sound waves of the call can be transmitted more efficiently along the vocal tract to the user's cochlea. At the same time, combined with noise reduction processing during the call, the impact of noise is reduced on the one hand, and the quality of the call audio is improved on the other hand, thus improving the call quality from two perspectives and achieving a better noise reduction effect. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0042] Figure 1 This is one of the flowcharts of the mobile phone noise reduction method provided in the embodiments of the present invention;

[0043] Figure 2 This is a second schematic flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0044] Figure 3 This is the third flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0045] Figure 4 This is the fourth flowchart of the mobile phone noise reduction method provided in the embodiments of the present invention;

[0046] Figure 5 This is the fifth flowchart of the mobile phone noise reduction method provided in the embodiments of the present invention;

[0047] Figure 6 This is the sixth flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0048] Figure 7 This is the seventh flowchart of the mobile phone noise reduction method provided in the embodiment of the present invention;

[0049] Figure 8 This is a schematic diagram of the structure of the mobile phone noise reduction system provided in an embodiment of the present invention;

[0050] Figure 9 This is one of the structural schematic diagrams of the mobile phone noise-canceling protective case provided in the embodiments of the present invention;

[0051] Figure 10This is the second structural schematic diagram of the mobile phone noise-canceling protective case provided in this embodiment of the invention;

[0052] Figure 11 This is the third structural schematic diagram of the mobile phone noise-canceling protective case provided in this embodiment of the invention;

[0053] Figure 12 This is the fourth structural schematic diagram of the mobile phone noise-canceling protective case provided in the embodiments of the present invention;

[0054] Figure 13 This is the fifth structural schematic diagram of the mobile phone noise-canceling protective case provided in the embodiments of the present invention;

[0055] Figure 14 This is a schematic diagram of the physical structure of the electronic device provided in an embodiment of the present invention.

[0056] in:

[0057] 1-First speaker; 2-First microphone; 3-Second speaker;

[0058] 4-First line; 5-Second line; 6-Signal preprocessing unit;

[0059] 7-Noise reduction processing unit; 8-Third line; 9-Communication unit;

[0060] 10 - Fourth line; 11 - Second microphone. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0062] Figure 1 This is one of the flowcharts of the mobile phone noise reduction method provided in the embodiments of the present invention.

[0063] like Figure 1 As shown, this embodiment provides a mobile phone noise reduction method, including:

[0064] Step 101: Obtain the user's ear position information during the call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0065] Step 102: Determine the noise reduction model and noise reduction parameters based on the ear position information. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the speaker adjustment angle, the sound wave transmission trajectory, and the controller parameters of the noise reduction model.

[0066] Step 103: Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is performed on the audio during a phone call.

[0067] In practical applications, when using the mobile phone noise reduction method provided in this embodiment, users do not need to use headphones during calls. They can directly place the phone to their ear for regular calls. The ear position information can characterize the positional relationship between the user's ear and the phone. This ear position information can include the user's ear position information, which can be obtained by capturing images with the phone's front-facing camera. Different captured ear position information indicates different user postures during calls, resulting in subtle differences in how the user perceives the audio waves during the call. Based on this, the transmission trajectory of the audio waves during the call between the phone's speaker and the user's cochlea can be determined using the collected ear position information. Furthermore, the transmission trajectory of the audio waves between the phone's microphone and the user's mouth can also be determined. In this way, during calls, not only can the probability of noise interference with the audio transmitted from the phone be reduced, but the amount of noise mixed in the user's spoken audio waves can also be reduced, allowing the user's spoken audio waves to be transmitted to the other party through the phone as completely as possible. This improves the noise reduction effect and call quality from two perspectives.

[0068] In practice, in addition to adjusting the transmission trajectory of audio sound waves to improve call quality, this embodiment can also filter audio sound waves during the call to remove noise sound waves, thereby reducing noise interference during mobile phone calls. In practical applications, noise sound waves can be filtered out based on the frequency of the sound waves.

[0069] In the mobile phone noise reduction method provided in this embodiment, users can achieve noise reduction without using headphones. Specifically, the user's ear position information can be obtained during the call. Based on the ear position information, the relative position of the mobile phone making the call and the user's ear can be determined. Then, the optimal sound wave transmission trajectory during the call can be determined. Under this sound wave transmission trajectory, the audio sound waves of the call can be transmitted to the user's cochlea more efficiently along the vocal tract. At the same time, combined with noise reduction processing during the call, the impact of noise is reduced on the one hand, and the quality of the call audio is improved on the other hand, thus improving the call quality from two angles and achieving a better noise reduction effect.

[0070] In an exemplary embodiment, determining the noise reduction parameters based on the ear position information includes:

[0071] Based on the ear position information and the first correspondence, the current posture of the user's head is determined, where the first correspondence is the correspondence between the ear position information and the current posture of the user's head.

[0072] Based on the user's current head posture and the second correspondence, the speaker adjustment angle is determined, whereby the second correspondence is the correspondence between the user's current head posture and the optimal speaker adjustment angle.

[0073] Based on the speaker adjustment angle and the third correspondence, the sound wave transmission trajectory is determined, wherein the third correspondence is the correspondence between the speaker's current angle and the sound wave transmission trajectory.

[0074] In practical applications, the first correspondence is the correspondence between ear position information and user head posture. This first correspondence can be obtained by collecting user ear position information in different call postures in advance and constructing the correspondence between ear position information and user head posture through a large amount of data.

[0075] In practical applications, in this embodiment, parameters such as the distance and angle between the phone's speaker and the user's cochlea can be used to characterize the transmission trajectory of sound waves. Similarly, the second correspondence can be obtained by measuring the distance and angle between the phone's speaker and the user's cochlea in different calling postures beforehand, thereby constructing a correspondence between the user's head posture and the transmission trajectory of sound waves.

[0076] In practice, after establishing the first and second correspondences, the correspondence between the ear position information and the sound wave transmission trajectory can be directly obtained. In this way, once the ear position information is determined, the sound wave transmission trajectory can be directly determined. In this embodiment, the method of pre-establishing the correspondences makes it easy to quickly activate noise reduction during a call and improve the call quality.

[0077] In an exemplary embodiment, determining the noise reduction model based on the ear position information includes:

[0078] Select and match the current ear location information from the ear location information database, which is constructed based on multiple ear location information of the user;

[0079] Based on the ear position information, a matching noise reduction model is selected from a pre-built noise reduction model library.

[0080] In an exemplary embodiment, the noise reduction model library is constructed using the following method:

[0081] Store several types of ear position information of users and establish an ear position information database;

[0082] Record several types of noise that users encounter and establish a noise database;

[0083] Different neural network models are designed by randomly combining the ear position information and the noise.

[0084] The controller parameters of the neural network model are adjusted to establish a noise reduction model library under different ear position information and noise characteristics. The noise reduction model library includes a neural network model library, a controller parameter library, a speaker angle database for the sound-generating unit, and a sound wave transmission trajectory database for the sound-generating unit.

[0085] In an exemplary embodiment, the non-contact noise reduction of audio during a phone call based on the noise reduction model and the noise reduction parameters includes:

[0086] The first correspondence is determined based on the ear position information. The second correspondence is determined based on the determined position information to adjust the speaker angle of the phone case. The third correspondence is determined based on the first and second correspondences to determine the sound wave transmission trajectory.

[0087] The first microphone on the phone case receives ambient noise, while the second microphone receives both voice information and the noise-reduced sound information. The speaker on the phone case emits the noise-reduced sound calculated by the noise reduction model, and noise cancellation is achieved at the ear position through a sound wave destructive interference method.

[0088] The noise reduction model is trained on a pre-built initial neural network model using a training set to obtain a neural network model. The training dataset includes a database of common noises accessible to users, a database of user head postures, a database of speaker adjustment angles, and a database of sound wave propagation trajectories.

[0089] The noise reduction model can run on the microprocessor integrated into the phone case or on the phone's internal processor. If the noise reduction model runs on the phone's internal processor, an app can be built that integrates the noise reduction model and the corresponding database.

[0090] Figure 2 This is a second schematic flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0091] Figure 3 This is the third flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0092] Figure 4 This is the fourth flowchart of the mobile phone noise reduction method provided in the embodiments of the present invention;

[0093] Figure 5This is the fifth flowchart of the mobile phone noise reduction method provided in the embodiments of the present invention;

[0094] Figure 6 This is the sixth flowchart of the mobile phone noise reduction method provided in this embodiment of the invention;

[0095] Figure 7 This is the seventh flowchart of the mobile phone noise reduction method provided in the embodiments of the present invention.

[0096] Figure 2 The training process of the neural network model described in this embodiment is illustrated. Figure 3 This embodiment illustrates the matching relationships between various databases. Figure 4 This example provides an overview of the functionality of connecting a phone noise-canceling case to a mobile phone. Figure 5 This example illustrates the acoustic path selection and matching process for the speaker and microphone in a mobile phone noise-canceling protective case. Figure 6 This example demonstrates the matching process for the controller parameters and speaker angle selection in a neural network model of a mobile phone noise-canceling protective case. Figure 7 This paper demonstrates the process of using a neural network model for voice input noise reduction on a mobile phone noise-canceling protective case.

[0097] in, Figure 3 middle and These represent the numbers corresponding to the left and right speakers, respectively. An acoustic path Indicates the number corresponding to the front microphone An acoustic path and The neural network models corresponding to the left and right speakers are respectively represented by the first... Group optimal controller parameter matrix, and These represent the optimal noise reduction matching of the left and right speakers, respectively. Adjust the angle of the group.

[0098] Figure 8 This is a schematic diagram of the structure of the mobile phone noise reduction system provided in an embodiment of the present invention.

[0099] like Figure 8 As shown, the present invention also provides a mobile phone noise reduction system, comprising:

[0100] The data acquisition module 801 is used to acquire the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0101] The intelligent control module 802 is used to determine the noise reduction model and noise reduction parameters based on the ear position information. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the speaker adjustment angle, the sound wave transmission trajectory, and the controller parameters of the noise reduction model.

[0102] The noise reduction module 803 is used to perform non-contact noise reduction on the audio during a phone call based on the noise reduction model and the noise reduction parameters.

[0103] Figure 9 This is one of the structural schematic diagrams of the mobile phone noise-canceling protective case provided in the embodiments of the present invention;

[0104] Figure 10 This is the second structural schematic diagram of the mobile phone noise-canceling protective case provided in this embodiment of the invention;

[0105] Figure 11 This is the third structural schematic diagram of the mobile phone noise-canceling protective case provided in this embodiment of the invention;

[0106] Figure 12 This is the fourth structural schematic diagram of the mobile phone noise-canceling protective case provided in the embodiments of the present invention;

[0107] Figure 13 This is the fifth structural schematic diagram of the mobile phone noise-canceling protective case provided in the embodiments of the present invention.

[0108] like Figures 9-13 As shown, the present invention also provides a mobile phone noise-canceling protective case, wherein... Figure 9 The front structure of a phone noise-canceling protective case. Figure 10 The top surface structure of the phone noise-canceling protective case. Figures 11-12 The bottom structure of the phone noise-canceling protective case. Figure 13 For the assembly structure of the phone noise-canceling protective case and the phone, such as Figures 9-13 As shown, the phone noise-canceling protective case includes:

[0109] Noise reduction processing unit 7 is used to perform mobile phone noise reduction methods;

[0110] A noise acquisition unit is used to collect ambient noise and call audio, and transmit them to the noise reduction processing unit 7;

[0111] The sound-generating unit is used to output the sound processed by the noise reduction processing unit 7;

[0112] Communication unit 9 is used to realize information transmission between the noise reduction processing unit 7, the noise acquisition unit and the sound generation unit;

[0113] The power supply unit is used to supply power to the noise reduction processing unit 7, the noise acquisition unit and the sound generation unit.

[0114] In practical applications, the size of the mobile phone noise-canceling protective case provided in this embodiment can be flexibly customized according to the size of the mobile phone being used. That is, after changing the size of the mobile phone noise-canceling protective case, it can be used for any mobile phone. The mobile phone noise-canceling protective case can be made of soft silicone material, and the internal integrated circuit can be made of flexible circuit board equipment. It can be folded at will during application and has functions such as being lightweight, drop-resistant, waterproof and dustproof.

[0115] By installing this protective case on an existing mobile phone, ambient noise can be effectively suppressed, improving the quality of voice calls. It is not only easy to install and protects the phone, but also does not have any adverse effects on the use of the existing phone.

[0116] The mobile phone noise-canceling protective case provided in this embodiment can apply any of the above-mentioned mobile phone noise-canceling methods to perform noise reduction processing during telephone communication.

[0117] The noise acquisition unit can be the microphone of the phone noise-canceling protective case, and the sound generation unit can be the speaker of the phone noise-canceling protective case. The angles of the microphone and speaker of the phone noise-canceling protective case can be freely adjusted according to needs to achieve optimal noise reduction in the ear space.

[0118] In practice, the phone noise-canceling protective case can have two speakers, namely a first speaker 1 and a second speaker 3, and two microphones, namely a first microphone 2 and a second microphone 11. The first microphone 2 is located at the front of the phone noise-canceling protective case, and the second microphone 11 is located at the rear of the phone noise-canceling protective case, which are used to collect the call audio after noise reduction and the ambient noise, respectively.

[0119] When using a phone noise-canceling protective case for call noise reduction, the ambient noise can be collected through the second microphone located at the back end and transmitted to the noise reduction processing unit. The noise reduction processing unit generates an anti-noise signal corresponding to the ambient noise. This anti-noise signal is essentially a neutralization signal for the ambient noise. The noise reduction processing unit can send this anti-noise signal to the first speaker and the second speaker. The call audio in the first speaker and the second speaker can be noise-reduced under the processing of this anti-noise signal.

[0120] In practical applications, after the communication unit 9 is electrically connected to the mobile phone, it can not only be used for communication between the mobile phone noise-canceling protective case and the mobile phone, but also use the mobile phone's power to power the mobile phone noise-canceling protective case.

[0121] By using the mobile phone noise-canceling protective case provided in this embodiment, users no longer need to use traditional noise-canceling headphones such as noise-canceling earphones and bone conduction headphones when making phone calls. Compared with noise-canceling earphones, the mobile phone noise-canceling protective case used in this embodiment does not physically compress the user's ear canal, reducing hearing damage and improving user comfort. Furthermore, the entire structure used in the noise-canceling process is integrated into the phone case, so users do not need to add any additional accessories during use, which not only saves costs but also makes it more convenient to carry.

[0122] In an exemplary embodiment, the noise reduction processing unit may be implemented by a separate microprocessor and / or by the processor inside the mobile phone.

[0123] In an exemplary embodiment, the mobile phone noise-canceling protective case may further include a signal preprocessing unit 6. The signal preprocessing unit 6 may be used to receive image information sent by the communication unit 9, and after processing the image information by compression filtering, feature extraction, etc., transmit it to the noise reduction processing unit 7. The signal preprocessing unit 6 may also be used to receive noise information sent by the communication unit 9, and after processing the noise information by amplification filtering and feature extraction, transmit it to the noise reduction processing unit 7. The signal processing unit may also be used to receive the noise-canceling call audio sent by the noise reduction processing unit 7, amplify the call audio, and transmit it to the speaker of the mobile phone noise-canceling protective case. At the same time, it may also send a control signal for adjusting the angle of the speaker to the speaker of the mobile phone noise-canceling protective case. After receiving the control signal and the call audio, the speaker adjusts its own angle according to the control signal and outputs the noise-canceling call audio.

[0124] In an exemplary embodiment, the noise reduction processing unit 7 is further configured to control the mobile phone to capture the user's ear position information during a call via the communication unit 9.

[0125] In practical applications, the noise reduction processing unit 7 and the aforementioned signal preprocessing unit 6 can be physical hardware structures installed on the phone's noise reduction protective case. That is, the noise reduction processing unit 7 and the signal preprocessing unit 6 are integrated independently on the phone's noise reduction protective case. Alternatively, an App can be installed inside the phone, which integrates the functions of the noise reduction processing unit 7 and the signal preprocessing unit 6. In this way, it is equivalent to using the phone's built-in processing system to complete the functions of intelligent noise reduction and signal preprocessing. Any data required in the noise reduction and signal preprocessing process can be stored in the phone's memory and only needs to be called when noise reduction is required. This saves the complex work of developing independent noise reduction processing units 7 and signal preprocessing units 6, and also makes full use of the phone's memory and processor resources to improve the efficiency of data retrieval and data processing.

[0126] In an exemplary embodiment, the positions of the noise acquisition unit and the sound generation unit are adjusted based on the transmission trajectory of sound waves during a call.

[0127] In an exemplary embodiment, the communication unit 9 includes a communication interface, and the location of the communication interface corresponds to the location of the charging port of the mobile phone;

[0128] The communication interface is used to connect to the charging port to enable communication between the noise-canceling phone case and the phone.

[0129] In practical applications, the communication interface can be a Type-C or Lightning interface that is compatible with the charging port of a mobile phone.

[0130] In this embodiment, the communication interface can be flexibly connected to the phone noise-canceling protective case. When the phone needs to be charged, the communication interface of the phone noise-canceling protective case can be unplugged from the phone's charging port. After the phone finishes charging, the communication interface of the phone noise-canceling protective case can be plugged back into the phone's charging port. This achieves power supply and communication for the phone noise-canceling protective case while also making the phone's charging port waterproof and dustproof.

[0131] In an exemplary embodiment, the communication interface further includes a charging interface, the location of which corresponds to the location of the charging port on the mobile phone;

[0132] The charging interface is used to connect to the charging port to charge the mobile phone.

[0133] In this embodiment, the phone noise-canceling protective case is provided with not only a communication interface but also a charging interface. The communication interface can be inserted into the phone's charging port to provide a communication connection between the phone and the phone noise-canceling protective case. At the same time, the charging interface can be used to connect an external phone charging cable. That is to say, in this embodiment, the phone can be charged without unplugging the communication interface of the phone noise-canceling protective case from the phone's charging port, making it more convenient to use.

[0134] Figure 14 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 14 As shown, the electronic device may include: a processor 1410, a communications interface 1420, a memory 1430, and a communication bus 1440, wherein the processor 1410, the communications interface 1420, and the memory 1430 communicate with each other through the communication bus 1440. The processor 1410 can call logical instructions in the memory 1430 to execute a mobile phone noise reduction method, which includes:

[0135] Obtain the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0136] Based on the ear position information, a noise reduction model and noise reduction parameters are determined. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the sound wave propagation trajectory and the controller parameters of the noise reduction model.

[0137] Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is achieved for audio during mobile phone calls.

[0138] Furthermore, the logical instructions in the aforementioned memory 1430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0139] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to perform the mobile phone noise reduction method provided by the above methods, the method including:

[0140] Obtain the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0141] Based on the ear position information, a noise reduction model and noise reduction parameters are determined. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the sound wave propagation trajectory and the controller parameters of the noise reduction model.

[0142] Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is achieved for audio during mobile phone calls.

[0143] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the mobile phone noise reduction methods provided by the above methods, the method comprising:

[0144] Obtain the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone;

[0145] Based on the ear position information, a noise reduction model and noise reduction parameters are determined. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the sound wave propagation trajectory and the controller parameters of the noise reduction model.

[0146] Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is achieved for audio during mobile phone calls.

[0147] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0148] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A mobile phone noise reduction method, characterized in that, include: Obtain the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone; Based on the ear position information, a noise reduction model and noise reduction parameters are determined. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the speaker adjustment angle, the sound wave transmission trajectory, and the controller parameters of the noise reduction model. The step of determining the noise reduction model based on the ear position information includes: Select and match the current ear location information from the ear location information database, which is constructed based on multiple ear location information of the user; Based on the ear position information, a matching noise reduction model is selected from a pre-built noise reduction model library; The noise reduction model library is constructed using the following method: Store several types of ear position information of users and establish an ear position information database; Record several types of noise that users encounter and establish a noise database; Different neural network models are designed by randomly combining the ear position information and the noise. The controller parameters of the neural network model are adjusted to establish a noise reduction model library under different ear position information and noise characteristics. The noise reduction model library includes a neural network model library, a controller parameter library, a speaker angle database for the sound generating unit, and a sound wave transmission trajectory database for the sound generating unit. Based on the noise reduction model and the noise reduction parameters, non-contact noise reduction is achieved for audio during mobile phone calls. By collecting ear position information, the transmission trajectory of audio sound waves during a call is determined between the phone's speaker and the user's cochlea. The transmission trajectory of audio sound waves between the phone's microphone and the user's mouth is also determined. This reduces the probability of noise interference in the audio transmitted from the phone during a call, and at the same time, reduces the amount of noise mixed in the audio sound waves spoken by the user.

2. The mobile phone noise reduction method according to claim 1, characterized in that, The step of determining noise reduction parameters based on the ear position information includes: Based on the ear position information and the first correspondence, the current posture of the user's head is determined, where the first correspondence is the correspondence between the ear position information and the current posture of the user's head. Based on the user's current head posture and the second correspondence, the speaker adjustment angle is determined, whereby the second correspondence is the correspondence between the user's current head posture and the optimal speaker adjustment angle. Based on the speaker adjustment angle and the third correspondence, the sound wave transmission trajectory is determined, wherein the third correspondence is the correspondence between the speaker's current angle and the sound wave transmission trajectory.

3. A mobile phone noise reduction system, applied to the mobile phone noise reduction method according to claim 1 or 2, characterized in that, include: The data acquisition module is used to acquire the user's ear position information during a call, wherein the ear position information represents the spatial positional relationship between the user's ear and the mobile phone; The intelligent control module is used to determine the noise reduction model and noise reduction parameters based on the ear position information. The noise reduction model includes at least a neural network noise reduction model, and the noise reduction parameters include at least the sound wave propagation trajectory and the controller parameters of the noise reduction model. The noise reduction module is used to perform non-contact noise reduction on the audio during a phone call based on the noise reduction model and the noise reduction parameters.

4. A mobile phone noise-canceling protective case, characterized in that, include: A noise reduction processing unit is used to perform the mobile phone noise reduction method according to claim 1 or 2; A noise acquisition unit is used to acquire call audio and ambient noise, and transmit them to the noise reduction processing unit; A sound-generating unit is used to output the sound processed by the noise reduction processing unit; A communication unit is used to realize information transmission between the noise reduction processing unit, the noise acquisition unit, and the sound generation unit. The power supply unit is used to supply power to the noise reduction processing unit, the noise acquisition unit, and the sound generation unit.

5. The mobile phone noise-canceling protective case according to claim 4, characterized in that, The noise reduction processing unit is implemented through an independent microprocessor and / or the processor inside the mobile phone.

6. The mobile phone noise-canceling protective case according to claim 4, characterized in that, The noise acquisition unit includes a first microphone and a second microphone.

7. The mobile phone noise-canceling protective case according to claim 4, characterized in that, The communication unit includes a communication interface, and the location of the communication interface corresponds to the location of the charging port of the mobile phone. The communication interface is used to connect to the charging port for communication between the mobile phone and the noise-canceling protective case.

8. The mobile phone noise-canceling protective case according to claim 7, characterized in that, The communication interface also includes a charging interface, the location of which corresponds to the location of the charging port on the mobile phone. The charging interface is used to connect to the charging port, allowing the phone to be charged via an external power source without disconnecting the power supply to the phone casing.

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