CN111294447A

CN111294447A - Noise reduction method and device, electronic equipment and storage medium

Info

Publication number: CN111294447A
Application number: CN202010097006.0A
Authority: CN
Inventors: 王英茂
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2020-02-17
Filing date: 2020-02-17
Publication date: 2020-06-16

Abstract

The disclosure provides a noise reduction method and device, electronic equipment and a storage medium, and relates to the technical field of terminal equipment. The method comprises the following steps: when detecting that a lifting camera in the terminal equipment is about to move, detecting whether the terminal equipment is in a call state; when the terminal equipment is in a call state, switching a first call parameter used by the terminal equipment into a second call parameter, wherein the second call parameter is used for reducing noise generated when the lifting camera moves; and moving the lifting camera, and switching the second call parameter into the first call parameter after the lifting camera is moved. The method and the device can reduce the noise of the terminal equipment in the conversation process.

Description

Noise reduction method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the technical field of terminal devices, and in particular, to a noise reduction method, a noise reduction apparatus, an electronic device, and a computer-readable storage medium.

Background

At present, more terminal equipment adopts the scheme of over-and-under type camera, can promote user's shooting experience. The camera can use the motor drive elevating gear when rising or descending, but, the whole elevating gear including the motor can produce obvious noise when working (when rising or descending), leads to the conversation to experience poorly.

Disclosure of Invention

An object of the present disclosure is to provide a noise reduction method, a noise reduction apparatus, an electronic device, and a computer-readable storage medium, which overcome the problem of loud noise during a call due to the limitations and disadvantages of the related art to some extent.

According to a first aspect of the present disclosure, there is provided a noise reduction method comprising:

when detecting that a lifting camera in terminal equipment is about to move, detecting whether the terminal equipment is in a call state;

when the terminal equipment is in a call state, switching a first call parameter used by the terminal equipment into a second call parameter, wherein the second call parameter is used for reducing noise generated when the lifting camera moves;

and moving the lifting camera, and switching the second communication parameter into the first communication parameter after the lifting camera is moved.

According to a second aspect of the present disclosure, there is provided a noise reduction apparatus comprising:

the communication state detection module is used for detecting whether the terminal equipment is in a communication state or not when the lifting camera in the terminal equipment is detected to move;

the first switching module is used for switching a first call parameter used by the terminal equipment into a second call parameter when the terminal equipment is in a call state, and the second call parameter is used for reducing noise generated when the lifting camera moves;

and the second switching module is used for moving the lifting camera and switching the second communication parameter into the first communication parameter after the lifting camera is moved.

According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above noise reduction method via execution of the executable instructions.

According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above noise reduction method.

Exemplary embodiments of the present disclosure may have some or all of the following benefits:

in the noise reduction method provided by an example embodiment of the present disclosure, before the lifting camera moves, if it is detected that the terminal device is in a call state, by switching call parameters, noise generated in the moving process of the lifting camera can be reduced, so that a call effect is better, and call experience is improved. And after the lifting camera is moved, the original call parameters are switched back again, so that the call effect before the camera is moved can be recovered.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

FIG. 1 illustrates a schematic structural diagram of a computer system suitable for use with an electronic device embodying embodiments of the present disclosure;

FIG. 2 is a schematic diagram illustrating the noise signal generated by the operation of the lift system in accordance with the disclosed embodiments;

FIG. 3 illustrates a flow chart of a noise reduction method in an embodiment of the present disclosure;

FIG. 4 shows a spectrum statistical diagram of a noise signal in an embodiment of the disclosure;

figure 5 shows a schematic diagram of the configuration of relevant parameters of a wave trap in an embodiment of the present disclosure;

fig. 6 shows a schematic structural diagram of a noise reduction device in an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

FIG. 1 illustrates a schematic structural diagram of a computer system suitable for use in implementing an electronic device of an embodiment of the present disclosure.

It should be noted that the computer system 100 of the electronic device shown in fig. 1 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.

As shown in fig. 1, the computer system 100 includes a central processing unit 101, which can perform various appropriate actions and processes according to a program stored in a read only memory 102 or a program loaded from a storage section 108 into a random access memory 103. In the random access memory 103, various programs and data necessary for system operation are also stored. The cpu 101, the rom 102, and the ram 103 are connected to each other via a bus 104. An input/output interface 105 is also connected to the bus 104.

The following components are connected to the input/output interface 105: an input portion 106 including a keyboard, a mouse, and the like; an output section 107 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 108 including a hard disk and the like; and a communication section 109 including a network interface card such as a local area network card, a modem, or the like. The communication section 109 performs communication processing via a network such as the internet. The driver 110 is also connected to the input/output interface 105 as necessary. A removable medium 111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 110 as necessary, so that a computer program read out therefrom is mounted into the storage section 108 as necessary.

In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 109, and/or installed from the removable medium 111. When executed by the central processing unit 101, performs the various functions defined in the methods and apparatus of the present application.

It should be noted that the computer readable storage medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, radio frequency, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer-readable storage medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments below. For example, the electronic device may implement the various steps shown in fig. 3, and so on.

The technical solution of the embodiment of the present disclosure is explained in detail below:

in a terminal device including a lift-type camera, the lift-type camera generates significant noise when being lifted or lowered, a simulation diagram of a noise signal is shown in fig. 2, an upper half portion of fig. 2 shows an amplitude diagram of the noise signal, and a lower half portion shows a frequency spectrum diagram of the noise signal. Each straight line in 201 represents a noise signal, and is located on the same horizontal line, that is, belonging to the same frequency, and the noise of the frequency is greater than the noise of other frequencies. If the user takes an image using the elevating camera during a call, the noise is transmitted to the other party, causing the other party to feel uncomfortable and the call effect to be poor.

In order to solve the above problems, the present disclosure provides a noise reduction method, a noise reduction device, an electronic device, and a computer-readable storage medium, which can reduce noise generated when a lifting device works in a call process of a user, and improve call experience.

Referring to fig. 3, fig. 3 shows a flowchart of a noise reduction method in an embodiment of the present disclosure, which may include the following steps:

step S310, when the lifting type camera in the terminal equipment is detected to move, whether the terminal equipment is in a call state is detected. When the terminal device is in a call state, executing step S320; and when the terminal equipment is not in the call state, the processing is not required, and the process is ended.

Step S320, switching the first communication parameter used by the terminal device to a second communication parameter, where the second communication parameter is used to reduce noise generated when the lift camera moves.

And step S330, moving the lifting camera, and switching the second communication parameter into the first communication parameter after the lifting camera is moved.

In the noise reduction method provided by the embodiment of the disclosure, before the lifting camera moves, if the terminal device is detected to be in a call state, the noise generated in the moving process of the lifting camera can be reduced by switching call parameters, so that the call effect is better, and the call experience is improved. And after the lifting camera is moved, the original call parameters are switched back again, so that the call effect before the camera is moved can be recovered.

The noise reduction method according to the embodiment of the present disclosure is described in more detail below.

In step S310, when it is detected that the up-down camera in the terminal device is about to move, it is detected whether the terminal device is in a call state.

In the embodiment of the present disclosure, the terminal device may be a smart phone, a tablet computer, or the like. Under the general condition, the lifting camera can be a front-mounted camera, the lifting camera can solve the self-photographing problem of a full screen, and the unprecedented high screen occupation ratio is also brought. Of course, in some scenarios, the lifting camera may also be a rear camera. The lifting camera is hidden in the terminal equipment when not in work, and when the camera needs to be shot, the lifting camera can be automatically lifted, and when the camera is withdrawn from the shooting, the lifting camera can also be automatically lowered back to the machine body. The moving method of the elevating camera may be, but is not limited to, the above-described raising and lowering, or may be a raising and then rotating, a rotating and then lowering, and the like.

When the terminal equipment is not in a conversation state, the lifting camera does not have great influence on users even if the lifting camera generates noise during working. And when terminal equipment is in a conversation state, noise generated by the lifting camera during working can generate great influence on a user. Therefore, the noise of the terminal equipment in the call state can be reduced. Before the lifting camera works, namely before the lifting camera moves, whether the terminal equipment is in a call state or not can be detected.

The method for detecting the movement of the lifting camera may specifically be that when a camera movement signal is detected, the lifting camera is determined to move. For example, the terminal device may receive a camera movement signal when the user turns on the camera. At this time, the lifting camera is detected to move.

In an implementation manner of the present disclosure, detecting whether a terminal device is in a call state may include:

firstly, whether the terminal equipment is in a voice state or not is detected, and whether the terminal equipment is in a recording state or not is detected.

In the embodiment of the present disclosure, the terminal device being in a call state may be a voice call directly performed between the terminal device user and another user, or may be a voice recording performed by the terminal device user alone. That is, the terminal device in the call state may include the above two modes, i.e., in the voice state or in the recording state. Therefore, whether the terminal device is in the voice state or not can be detected, and whether the terminal device is in the recording state or not can be detected.

Then, when the terminal equipment is detected to be in a voice state or a recording state, the terminal equipment is determined to be in a call state; and when the terminal equipment is not detected to be in the voice state and the terminal equipment is not detected to be in the recording state, determining that the terminal equipment is not in the call state.

In step S320, when the terminal device is in a call state, the first call parameter used by the terminal device is switched to a second call parameter, where the second call parameter is used to reduce noise generated when the lift camera moves.

In the embodiment of the disclosure, the first call parameter and the second call parameter are both parameters when the terminal device is in a call state. The first communication parameter is a communication parameter when the lifting camera does not move and is used for the state that the lifting device does not work. The second communication parameter is a communication parameter when the lifting camera moves and is used for the working state of the lifting device.

It should be noted that both the first call parameter and the second call parameter may be preset. The voice state and the recording state belong to two different call modes, and the requirements on the network condition, the call quality and the like in the two call modes are different, so that the first call parameter when the terminal device is in the voice state and the first call parameter when the terminal device is in the recording state can be different. Of course, the second communication parameter when the terminal device is in the voice state and the second communication parameter when the terminal device is in the recording state may be different.

Specifically, the second communication parameter may be determined according to a noise signal generated when the elevating camera moves. Referring to fig. 4, fig. 4 shows a spectrum statistical chart of the noise signal in the embodiment of the present disclosure, and it can be seen that the amplitude is maximum corresponding to the frequency (2600Hz) at the position shown by 401, that is, the noise is maximum at the frequency 2600 Hz. In one implementation of the present disclosure, noise reduction may be performed by a trap, which is a resonant circuit, that may be used as a filter to eliminate some unwanted signals to reduce interference with the wanted signal. Correspondingly, the second communication parameters can comprise related parameters of the wave trap, and the related parameters of the wave trap can be determined according to noise signals generated when the lifting camera moves.

As shown in fig. 5, the relevant parameters of the trap include: attenuation Gain (Gain), center frequency (center frequency), and quality Factor (Q-Factor). The spectral statistics shown in figure 4 can be used to determine the relevant parameters of the trap. Wherein, the central frequency of the wave trap is the vibration frequency of the noise signal. Here, the vibration frequency of the noise signal may be a frequency corresponding to a maximum value of noise, that is, 2600Hz in fig. 4. In fig. 5, at a frequency of 2600Hz, the response of the filter drops off rapidly, so that a 2600Hz signal can be filtered out. The quality factor is a physical quantity indicating the damping property of the oscillator, and may also indicate the magnitude of the resonance frequency of the oscillator with respect to the bandwidth, and a high quality factor indicates that the rate of energy loss of the oscillator is slow and the oscillation can continue for a long time. Both the quality factor and the attenuation gain can be set according to fig. 4, for example, the greater the noise maximum in fig. 4, the greater the quality factor can be set. The greater the energy of the noise, the greater the attenuation gain may be.

The frequency of the noise signal includes frequencies corresponding to other loud noises in addition to 2600Hz corresponding to the maximum value. In the case of adding a plurality of wave traps, the wave trap itself will generate noise, so that usually, one wave trap is added to have a better noise reduction effect.

In addition, the lifting camera is in two different working states when lifted and lowered, and different noise signals can be generated in different working states, so that different second communication parameters can be corresponded in different working states. As can be seen, the first call parameter may contain one set of data, while the second call parameter may contain multiple different sets of data. Then, switching the first call parameter to the second call parameter may include: the first communication parameter is switched to a second communication parameter corresponding to the lifting camera when the lifting camera is lifted, or the first communication parameter is switched to a second communication parameter corresponding to the lifting camera when the lifting camera is lowered, and the first communication parameter can be specifically switched according to the moving mode of the lifting camera.

In step S330, the lift camera is moved, and after the lift camera is moved, the second call parameter is switched to the first call parameter.

Specifically, after the first call parameter is switched to the second call parameter, the elevating camera can be automatically lifted or lowered. After the raising or lowering is completed, a raising completion signal or a lowering completion signal may be returned, and at this time, the current second call parameter may be switched back to the original first call parameter, so that it may be ensured that the user recovers to the initial call state.

Therefore, the noise reduction method of the embodiment of the disclosure can set two sets of call parameters, namely, the first call parameter and the second call parameter, respectively according to whether the camera moves. Because the second conversation parameter can reduce the noise that over-and-under type camera removal in-process produced, consequently, when the camera does not take place to remove, can talk over through first conversation parameter, can talk over through the second conversation parameter when the camera removes to reduce the noise that camera removal in-process elevating gear produced, thereby can promote conversation and experience.

It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Further, in the present exemplary embodiment, there is also provided a noise reduction apparatus 600, as shown in fig. 6, including:

the call state detection module 610 is configured to detect whether the terminal device is in a call state when it is detected that the up-down camera in the terminal device is about to move;

the first switching module 620 is configured to switch a first call parameter used by the terminal device to a second call parameter when the terminal device is in a call state, where the second call parameter is used to reduce noise generated when the lifting camera moves;

the second switching module 630 is configured to move the lift camera, and switch the second session parameter to the first session parameter after the lift camera is moved.

Optionally, the noise reduction apparatus according to the embodiment of the present disclosure further includes:

and the second communication parameter determining module is used for determining a second communication parameter according to a noise signal generated when the lifting camera moves.

Optionally, the second communication parameter includes a relevant parameter of the wave trap;

and the second communication parameter determining module is specifically used for determining the related parameters of the wave trap according to the noise signal generated when the lifting camera moves.

Optionally, the relevant parameters of the wave trap include: the center frequency of the wave trap is the vibration frequency of the noise signal.

Optionally, the first switching module includes:

the first switching unit is used for switching the first communication parameter into a second communication parameter corresponding to the lifting camera when the lifting camera is lifted;

and the second switching unit is used for switching the first communication parameter into a second communication parameter corresponding to the descending of the lifting camera.

and the camera movement detection module is used for determining that the lifting camera is required to move when detecting the camera movement signal.

Optionally, the call state detection module includes:

the detection unit is used for detecting whether the terminal equipment is in a voice state and detecting whether the terminal equipment is in a recording state;

the call state determining unit is used for determining that the terminal equipment is in a call state when the terminal equipment is detected to be in a voice state or a recording state;

and the non-call state determining unit is used for determining that the terminal equipment is not in the call state when the terminal equipment is not detected to be in the voice state and the terminal equipment is not detected to be in the recording state.

The specific details of each module or unit in the above device have been described in detail in the corresponding noise reduction method, and therefore are not described herein again.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of noise reduction, the method comprising:

2. The method of claim 1, wherein prior to the switching the first call parameter used by the terminal device to the second call parameter, the method further comprises:

and determining a second communication parameter according to a noise signal generated when the lifting camera moves.

3. The method of claim 2, wherein the second communication parameters comprise trap related parameters;

the determining a second communication parameter according to the noise signal generated when the lifting camera moves comprises the following steps:

and determining relevant parameters of the wave trap according to a noise signal generated when the lifting camera moves.

4. The method of claim 3, wherein the parameters associated with the wave trap comprise: the central frequency of the wave trap is the vibration frequency of the noise signal.

5. The method of claim 1, wherein switching the first call parameter to the second call parameter comprises:

the first communication parameter is switched to a second communication parameter corresponding to the lifting type camera when the lifting type camera is lifted, or,

and switching the first communication parameter into a second communication parameter corresponding to the descending of the lifting camera.

6. The method of claim 1, wherein detecting the manner in which the lift camera is to be moved comprises:

and when a camera moving signal is detected, determining that the lifting camera is to move.

7. The method of claim 1, wherein the detecting whether the terminal device is in a call state comprises:

detecting whether the terminal equipment is in a voice state or not, and detecting whether the terminal equipment is in a recording state or not;

when detecting that the terminal equipment is in a voice state or in a recording state, determining that the terminal equipment is in a call state;

and when the terminal equipment is not detected to be in a voice state and the terminal equipment is not detected to be in a recording state, determining that the terminal equipment is not in a call state.

8. A noise reducing device, the device comprising:

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any of claims 1-7 via execution of the executable instructions.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 7.