Device and method for audio processing

Abstract

A device and a method for audio processing are provided. The method includes: receiving a first audio signal; detecting the first audio signal to identify a sound sample; and performing first audio processing on the sound sample to generate a first output audio.

Description

Technical Field

[0001] This invention relates to a signal processing technology, and more particularly to a display device, electronic device, and method for audio processing. Prior Technology

[0002] In esports games, sound is crucial for players. For example, players can use sound to determine the location of enemies and thus decide on appropriate tactics. To hear more clearly, players can turn up the speaker volume. However, when the speaker volume is turned up, the volume of less important in-game noises also increases. This can negatively impact the player's gaming experience. Summary of the Invention

[0003] The present invention provides a display device, electronic device, and method for audio processing, which can perform audio processing on specific sound samples.

[0004] A display device according to the present invention includes a display module, a bridge chip, and a processor. The bridge chip receives a first audio signal. The processor is electrically connected to the bridge chip and the display module, wherein the processor detects the first audio signal to identify a sound sample, and performs first audio processing on the sound sample to generate a first output audio signal.

[0005] In one embodiment of the present invention, the aforementioned bridging chip receives a second audio signal, wherein the processor inputs the second audio signal into a machine learning model to generate audio features, and establishes an acoustic model based on the audio features, wherein the processor detects a first audio signal based on the acoustic model to identify a sound sample.

[0006] In one embodiment of the present invention, the above-described display device further includes a display controller. The display controller is electrically connected to the processor and the display module, wherein the processor determines the channel corresponding to the first audio signal, and the display controller controls the display module to display notification information corresponding to the channel on the output image of the display module.

[0007] In one embodiment of the present invention, the aforementioned bridging chip receives an image signal, wherein the processor detects the image signal to determine whether a trigger event has occurred, wherein in response to the trigger event, the processor performs first audio processing on the sound sample.

[0008] In one embodiment of the present invention, the aforementioned bridging chip receives an image signal and a second audio signal, wherein the processor detects the image signal to determine whether a trigger event has occurred, and wherein in response to the trigger event, the processor performs second audio processing on the second audio signal to generate a second output audio signal.

[0009] In one embodiment of the present invention, the processor inputs the image signal into a machine learning model to generate a detection result, and determines whether a triggering event has occurred based on the detection result.

[0010] In one embodiment of the present invention, the processor detects the image signal to determine whether the triggering event has ended, wherein in response to the end of the triggering event, the processor stops executing the second audio processing.

[0011] In one embodiment of the present invention, the first audio processing described above includes increasing the volume.

[0012] An electronic device for audio processing according to the present invention includes a transceiver and a processor. The processor is electrically connected to the transceiver and configured to perform: receiving a first audio signal through the transceiver; detecting the first audio signal to identify a sound sample; and performing first audio processing on the sound sample to generate a first output audio signal.

[0013] In one embodiment of the present invention, the processor is further configured to perform: receiving a second audio signal via a transceiver; inputting the second audio signal into a machine learning model to generate audio features, and establishing an acoustic model based on the audio features; and detecting a first audio signal based on the acoustic model to identify a sound sample.

[0014] In one embodiment of the present invention, the processor is further configured to perform: communicating with the display device via a transceiver; determining the channel corresponding to the first audio signal; and controlling the display device to display notification information corresponding to the channel on the output image of the display device.

[0015] In one embodiment of the present invention, the processor is further configured to perform: receiving an image signal via a transceiver; detecting the image signal to determine whether a triggering event has occurred; and, in response to the triggering event, performing first audio processing on an audio sample.

[0016] In one embodiment of the present invention, the processor is further configured to perform: receiving an image signal and a second audio signal via a transceiver; detecting the image signal to determine whether a trigger event has occurred; and, in response to the trigger event, performing second audio processing on the second audio signal to generate a second output audio signal.

[0017] In one embodiment of the present invention, the processor is further configured to perform: inputting image signals into a machine learning model to generate detection results, and determining whether a triggering event has occurred based on the detection results.

[0018] In one embodiment of the present invention, the processor is further configured to perform: detecting an image signal to determine whether the triggering event has ended; and stopping the execution of the second audio processing in response to the end of the triggering event.

[0019] In one embodiment of the present invention, the first audio processing described above includes increasing the volume.

[0020] A method for audio processing according to the present invention includes: receiving a first audio signal; detecting the first audio signal to identify a sound sample; and performing first audio processing on the sound sample to generate a first output audio signal.

[0021] Based on the above, the device of the present invention can use a machine learning model or an acoustic model to identify specific sound samples (e.g., footsteps) in video games and perform audio processing such as increasing the volume of the sound samples, making it easier for users to hear the specific audio output. Simple Explanation of the Diagram

[0022] Figure 1 illustrates a schematic diagram of a display device according to an embodiment of the present invention. Figure 2 illustrates a flowchart of audio processing of a display device according to an embodiment of the present invention. Figure 3 illustrates a flowchart of audio processing of a display device according to another embodiment of the present invention. Figure 4 is a schematic diagram illustrating the result of audio processing according to an embodiment of the present invention. Figure 5 illustrates a schematic diagram of an electronic device for audio processing according to an embodiment of the present invention. Figure 6 illustrates a flowchart of audio processing in an electronic device according to an embodiment of the present invention. Figure 7 illustrates a flowchart of audio processing in an electronic device according to another embodiment of the present invention. Figure 8 illustrates a flowchart of a method for audio processing according to an embodiment of the present invention. Implementation

[0023] Figure 1 illustrates a schematic diagram of a display device 100 according to an embodiment of the present invention. Users can enable or disable various functions provided by the display device 100 by operating the on-screen display (OSD) interface provided by the display device 100. The display device 100 may include a display controller 110, a bridge chip 120, a processor 130, and a display module 140. The display controller 110 is, for example, a scaler. The processor 130 is, for example, an artificial intelligence chip.

[0024] The display controller 110 or processor 130 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose microcontroller (MCU), microprocessor, digital signal processor (DSP), programmable controller, application-specific integrated circuit (ASIC), graphics processing unit (GPU), image signal processor (ISP), image processing unit (IPU), arithmetic logic unit (ALU), complex programmable logic device (CPLD), field programmable gate array (FPGA), or other similar elements or combinations thereof. The display controller 110 may be electrically connected to the processor 130 and the display module 140. In one embodiment, the display controller 110 may be further electrically connected to a bridge chip 120. The display controller 110 may be configured to control the bridge chip 120, the processor 130, or the display module 140.

[0025] The display module 140 may include a liquid crystal display panel, a light-emitting diode (LED) display panel, a vacuum fluorescent display panel, a plasma display panel (PDP), an organic light-emitting diode (OLED) display panel, or a field emission display panel.

[0026] The display device 100 may have an audio processing function. The audio processing function can perform audio processing (e.g., volume increase) on specific sound samples. For example, the audio processing function can amplify the volume of the footsteps of a virtual character in a video game.

[0027] In one embodiment, the display module 140 can output an OSD interface for user operation. The processor 130 can activate the audio processing function of the display device 100 according to the operation instructions corresponding to the OSD interface.

[0028] In one embodiment, the processor 130 may detect audio signals acquired by the display device 100 and perform audio processing on sound samples in the audio signals based on the detection results. FIG2 illustrates a flowchart of audio processing of the display device according to an embodiment of the present invention, wherein the flowchart of FIG2 is applicable to the display device 100.

[0029] In step S201, the bridging chip 120 can receive audio signals or video signals corresponding to the audio signals. The audio signals and video signals may correspond to the same timestamp. The bridging chip 120 is, for example, an integrated circuit. The display device 100 can communicate with an external device running a game application (e.g., a personal computer or game console). The bridging chip 120 can receive audio signals or video signals from the external device.

[0030] In one embodiment, the bridging chip 120 may have a communication interface. The bridging chip 120 can communicate with an external device via the communication interface to directly receive audio or video signals from the external device, such as signal S2 as shown in FIG1. ​​The communication interface of the bridging chip 120 may support communication protocols such as Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), or DisplayPort (DP).

[0031] In one embodiment, the display controller 110 may have a communication interface. The display controller 110 can communicate with an external device via the communication interface to receive audio or video signals from the external device, such as signal S1 as shown in FIG1. ​​The communication interface of the display controller 110 may support communication protocols such as USB, HDMI, or DP. The display controller 110 can forward signals to the bridge chip 120 via the Display Port Output (DP out) function. That is, the bridge chip 120 can indirectly receive audio or video signals from the external device through the display controller 110.

[0032] In step S202, the processor 130 may receive audio or video signals from the bridging chip 120.

[0033] In step S203, the processor 130 can detect the audio signal to identify whether the audio signal contains a target sound sample. If the audio signal contains a sound sample, the processor 130 can execute step S204. If the audio signal does not contain a sound sample, the processor 130 can re-execute step S201 after a period of time.

[0034] Specifically, the processor 130 can input audio signals to an acoustic model to detect the audio signals and identify sound samples. Sound samples, for example, are the footsteps of a virtual character moving. If the acoustic model detects a sound sample, the processor 130 can execute step S204. If the acoustic model does not detect a sound sample, the processor 130 can re-execute step S201 after a period of time.

[0035] In one embodiment, processor 130 may receive historical audio signals as training data via bridging chip 120 or display controller 130. The historical audio signals may have labels for the sound samples (e.g., footsteps). Processor 130 may input the historical audio signals into a machine learning model to extract audio features. Processor 130 may build an acoustic model based on the extracted audio features (e.g., high-dimensional sparse feature vectors). In one embodiment, the acoustic model may, for example, include waveforms associated with specific sound samples. In one embodiment, the acoustic model may generate a confidence prediction based on the input audio signal. If the confidence score is greater than a threshold, the audio signal contains the target sound sample. If the confidence score is less than or equal to the threshold, the audio signal does not contain the target sound sample.

[0036] In step S204, processor 130 may perform audio processing on the sound sample to generate an output audio signal. For example, processor 130 may increase the volume of the sound sample. As shown in Figure 4, assuming curve 401 is the original audio signal and the frequency of the target sound sample is between F1 (e.g., 150Hz) and F2 (e.g., 500Hz), processor 130 may perform audio processing on the target sound sample to generate an output audio signal as shown in curve 402. Processor 130 may output the output audio signal through an external device such as a speaker.

[0037] In one embodiment, the processor 130 can input the image signal corresponding to the audio signal into a machine learning model to determine whether a triggering event has occurred based on the image content. The processor 130 can perform audio processing on the sound sample only after determining that a triggering event has occurred. For example, a triggering event could be an event where only the user-controlled virtual character remains alive in the user's team. After the processor 130 determines, based on the image recognition results, that only the user-controlled virtual character remains alive in the user's team, the processor 130 can perform audio processing on the sound sample to amplify the enemy's footsteps to assist the user in determining the enemy's location.

[0038] In one embodiment, after acquiring an audio signal, the processor 130 can determine the channel corresponding to the audio signal. After the processor 130 identifies the sound sample of the audio signal and determines the channel corresponding to the audio signal, the display controller 110 can control the display module 140 to display notification information corresponding to the channel on the output image of the display module 140. For example, suppose the audio signal comes from the left channel. After the processor 130 determines that the footsteps come from the left channel based on the acoustic model, the display controller 110 can control the display module 140 to display notification information via OSD, wherein the notification information, for example, indicates that the footsteps come from the left.

[0039] In one embodiment, the processor 130 may perform image recognition on the image signal acquired by the display device 100 to determine whether a trigger event has occurred. The processor 130 may perform audio processing on the audio signal after a trigger event occurs. For example, after a trigger event occurs, the processor 130 may amplify the overall volume of the video game so that the user can hear the sound effects in the video game more clearly. FIG3 illustrates a flowchart of audio processing of the display device according to another embodiment of the present invention, wherein the flowchart of FIG3 is applicable to the display device 100.

[0040] In step S301, the bridging chip 120 can receive video signals or audio signals. Video signals may include, for example, game graphics from a game application. The bridging chip 120 can receive signals directly from an external device or through the display controller 110.

[0041] In step S302, the processor 130 may receive image signals or audio signals from the bridging chip 120.

[0042] In steps S303 to S305, processor 130 may use a machine learning model to perform object detection on the game screen to obtain the detection result. The machine learning model used by processor 130 may include, for example, a region-based convolutional neural network (R-CNN). Processor 130 may train the machine learning model based on multiple training data. In one embodiment, the training data may include images of the game screen and may include labels indicating whether the images belong to a triggered event or a non-triggered event.

[0043] Specifically, in step S303, the processor 130 may perform object recognition on the image signal to obtain one or more candidate regions of interest (ROIs). Candidate regions may include, for example, the point of view (POV) of virtual objects or characters in a video game. In one embodiment, the processor 130 may generate one or more candidate regions through a region proposal network (RPN) included in a region convolutional neural network.

[0044] In step S304, the processor 130 can locate the candidate region and obtain the location information (e.g., coordinates) of the candidate region.

[0045] In step S305, the processor 130 can identify objects in the candidate region, and then generate a classification result and a bounding box identification result containing the object.

[0046] In step S306, the processor 130 can determine whether a specific virtual object or scene has been detected based on the identification result, in order to determine whether a triggering event has occurred (e.g., the event where only the user-controlled virtual character remains alive in our team). If the processor 130 determines that a specific virtual object or scene has been detected, it means that a triggering event has occurred. Accordingly, the processor 130 can execute step S307. On the other hand, if the processor 130 determines that a specific virtual object or scene has not been detected, it means that no triggering event has occurred. The processor 130 can re-execute step S301 after a period of time.

[0047] In step S307, the processor 130 may perform audio processing on the audio signal to generate an output audio signal. For example, the processor 130 may amplify the audio signal to increase the volume of the overall sound effects of a video game. As shown in FIG4, the processor 130 may perform audio processing on the original audio signal (i.e., curve 401) to generate an output audio signal as shown in curve 403. The processor 130 may output the output audio signal through an external device such as a speaker.

[0048] In one embodiment, the processor 130 may detect the video signal to determine whether the triggering event has ended. If the triggering event has ended, the processor 130 may stop performing audio processing on the audio signal.

[0049] The functions of the display device 100 can also be provided by electronic devices such as personal computers or tablet computers. Figure 5 illustrates a schematic diagram of an electronic device 100 for audio processing according to an embodiment of the present invention. The electronic device 500 may include a processor 510, a storage medium 520, and a transceiver 530.

[0050] Processor 510 may be, for example, a CPU, or other programmable general-purpose or special-purpose MCU, microprocessor, DSP, programmable display controller, ASIC, GPU, ISP, IPU, ALU, CPLD, FPGA, or other similar components or combinations thereof. Processor 510 may be coupled to storage medium 520 and transceiver 530, and access and execute multiple modules and various applications stored in storage medium 520. Processor 510 may have the same construction or function as display controller 110, bridge chip 120, and / or processor 130.

[0051] Storage medium 520 may be any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk drive (HDD), solid state drive (SSD), or similar element or combination thereof, for storing multiple modules or various applications that can be executed by processor 510.

[0052] Transceiver 530 transmits or receives signals wirelessly or via a wired connection. Transceiver 530 can also perform operations such as low-noise amplification, impedance matching, mixing, up- or down-frequency conversion, filtering, amplification, and similar functions.

[0053] Figure 6 illustrates a flowchart of audio processing in an electronic device 500 according to an embodiment of the present invention. In step S601, the processor 510 can receive user instructions via the transceiver 530 to run the software program of the present invention.

[0054] In step S602, the user can connect the input and output ports of the computer (or game console) to the transceiver 530 of the electronic device 500, wherein the transceiver 530 can support communication protocols such as USB, HDMI or DP.

[0055] In step S603, the software program can detect the computer's output (e.g., audio or video signals). If the software program does not detect the computer's output, it means that the computer and electronic device 500 may not have successfully established a communication connection. Accordingly, the software program can output a message through the transceiver 530 to instruct the user to re-execute step S602. If the software program successfully detects the computer's output, it proceeds to step S604.

[0056] In step S604, the processor 510 can receive audio signals or video signals corresponding to the audio signals via the transceiver 530. The audio signals and video signals may correspond to the same timestamp. The electronic device 500 can communicate with an external device running a game application (e.g., a personal computer or game console). The processor 510 can receive audio signals or video signals from the external device.

[0057] In step S605, the processor 510 can detect the audio signal to identify whether the audio signal contains a target sound sample. If the audio signal contains a sound sample, the processor 510 can execute step S606. If the audio signal does not contain a sound sample, the processor 510 can re-execute step S604 after a period of time.

[0058] Specifically, the processor 510 can input audio signals to an acoustic model to detect the audio signals and identify sound samples based on the acoustic model. Sound samples, for example, are the footsteps of a virtual character moving. If the acoustic model detects a sound sample, the processor 510 can execute step S606. If the acoustic model does not detect a sound sample, the processor 510 can re-execute step S604 after a period of time.

[0059] In one embodiment, processor 510 may receive historical audio signals as training data via transceiver 530. The historical audio signals may have labels for the sound samples (e.g., footsteps). Processor 510 may input the historical audio signals into a machine learning model to extract audio features and build an acoustic model based on the audio features.

[0060] In step S606, the processor 130 may perform audio processing on the sound sample to generate an output audio signal. For example, the processor 130 may increase the volume of the sound sample.

[0061] In one embodiment, the processor 510 can input the image signal corresponding to the audio signal into a machine learning model to determine whether a triggering event has occurred based on the image content. The processor 510 can perform audio processing on the sound sample only after determining that a triggering event has occurred. For example, a triggering event could be an event where only the user-controlled virtual character remains alive in the user's team. After the processor 510 determines, based on the image recognition results, that only the user-controlled virtual character remains alive in the user's team, the processor 510 can perform audio processing on the sound sample to amplify the enemy's footsteps to assist the user in determining the enemy's location.

[0062] In one embodiment, after acquiring an audio signal, the processor 510 can communicatively connect to a display device (e.g., display device 100) and determine the channel corresponding to the audio signal. After the processor 510 identifies the sound sample of the audio signal and determines the channel corresponding to the audio signal, the processor 510 can control the display device to display notification information corresponding to the channel on the output image of the display device. For example, suppose the audio signal comes from the left channel. After the processor 510 determines, based on an acoustic model, that footsteps are coming from the left channel, the processor 510 can control the display device to display notification information via an OSD, wherein the notification information, for example, indicates that the footsteps are coming from the left.

[0063] Figure 7 illustrates a flowchart of audio processing in an electronic device 100 according to another embodiment of the present invention. In step S701, the processor 510 can receive user instructions via the transceiver 530 to run the software program of the present invention.

[0064] In step S702, the user can connect the input and output ports of the computer (or game console) to the transceiver 530 of the electronic device 500, wherein the transceiver 530 can support communication protocols such as USB, HDMI or DP.

[0065] In step S703, the software program can detect the computer's output (e.g., audio or video signals). If the software program does not detect the computer's output, it means that the computer and electronic device 500 may not have successfully established a communication connection. Accordingly, the software program can output a message through the transceiver 530 to instruct the user to re-execute step S702. If the software program successfully detects the computer's output, it proceeds to step S704.

[0066] In step S704, the processor 510 may receive video signals or audio signals. Video signals, for example, may include game footage from a game application.

[0067] In steps S705 to S707, the processor 510 may use a machine learning model to perform object recognition on the game screen to obtain recognition results. The machine learning model used by the processor 510 may include, for example, R-CNN. The processor 510 may train the machine learning model based on multiple training data sets. In one embodiment, the training data may include images of the game screen and may include labels indicating whether the images belong to a triggered event or a non-triggered event.

[0068] Specifically, in step S705, the processor 510 may perform object recognition on the image signal to obtain one or more candidate regions. Candidate regions may include, for example, the viewpoints of virtual objects or characters in a video game. In one embodiment, the processor 510 may generate one or more candidate regions via a region proposal network included in a region convolutional neural network.

[0069] In step S706, the processor 510 can locate the candidate region and obtain the location information (e.g., coordinates) of the candidate region.

[0070] In step S707, the processor 510 can identify objects in the candidate region, and then generate a classification result and a location box identification result containing the object.

[0071] In step S708, the processor 510 can determine whether a specific virtual object or scene has been detected based on the identification result, in order to determine whether a triggering event has occurred (e.g., the event where only the user-controlled virtual character remains alive in our team). If the processor 510 determines that a specific virtual object or scene has been detected, it means that a triggering event has occurred. Accordingly, the processor 510 can execute step S709. On the other hand, if the processor 510 determines that a specific virtual object or scene has not been detected, it means that no triggering event has occurred. The processor 510 can re-execute step S704 after a period of time.

[0072] In step S709, the processor 510 may perform audio processing on the audio signal to generate output audio. For example, the processor 510 may amplify the audio signal to increase the volume of the overall sound effects of a video game. The processor 510 may output the output audio through an external device such as a speaker.

[0073] In one embodiment, the processor 510 may detect the video signal to determine whether the triggering event has ended. If the triggering event has ended, the processor 510 may stop performing audio processing on the audio signal.

[0074] Figure 8 illustrates a flowchart of a method for audio processing according to an embodiment of the present invention, wherein the method may be implemented by a display device 100 as shown in Figure 1 or an electronic device 500 as shown in Figure 5. In step S801, a first audio signal is received. In step S802, the first audio signal is detected to identify a sound sample. In step S803, first audio processing is performed on the sound sample to generate a first output audio signal.

[0075] In summary, the device of the present invention can use machine learning models or acoustic models to identify specific sound samples (e.g., footsteps) in video games and perform audio processing such as volume increase on the sound samples, making it easier for users to hear specific audio messages clearly. The device of the present invention can also perform image recognition on video signals in video games to determine whether a specific event has been triggered. The device can perform audio processing only after the event has occurred, avoiding audio processing interference with the entire game process and thus affecting the user experience.

[0076] 100: Display device 110: Display Controller 120: Bridge chip 130,510: Processor 140: Display Module 401, 402, 403: Curves 500: Electronic devices 520: Storage Media 530: Transceiver F1, F2: Frequency S1, S2: Signals S201, S202, S203, S204, S301, S302, S303, S304, S305, S306, S307, S601, S602, S603, S604, S605, S606, S701, S702, S703, S704, S705, S706, S707, S708, S709, S801, S802, S803: Steps

Claims

1. A display device, comprising: A display module; a bridging chip that receives a first audio signal and an image signal; The device also includes a processor electrically connected to the bridge chip and the display module, wherein the processor detects the first audio signal to identify a sound sample, performs object recognition on the image signal to obtain a candidate region, identifies objects in the candidate region to determine whether a trigger event has occurred, and performs first audio processing on the sound sample in response to the trigger event to generate a first output audio signal, wherein the first audio processing includes increasing the volume.

2. The display device of claim 1, wherein the bridging chip receives a second audio signal, wherein the processor inputs the second audio signal into a machine learning model to generate an audio feature and establishes an acoustic model based on the audio feature, wherein the processor detects the first audio signal based on the acoustic model to identify the sound sample.

3. The display device as claimed in claim 1, further comprising: A display controller is electrically connected to the processor and the display module, wherein the processor determines a channel corresponding to the first audio signal, and wherein the display controller controls the display module to display a notification message corresponding to the channel on an output image of the display module.

4. The display device as claimed in claim 1, wherein the bridging chip receives a second audio signal, wherein in response to the trigger event, the processor performs second audio processing on the second audio signal to generate a second output audio signal.

5. The display device as claimed in claim 4, wherein the processor detects the image signal to determine whether the triggering event has ended, wherein in response to the end of the triggering event, the processor stops executing the second audio processing.

6. An electronic device for audio processing, comprising: One transceiver; and a processor electrically connected to the transceiver and configured to perform: receiving a first audio signal and an image signal through the transceiver; detecting the first audio signal to identify a sound sample; performing object recognition on the image signal to obtain a candidate region; identifying objects in the candidate region to determine whether a trigger event has occurred; and performing first audio processing on the sound sample in response to the trigger event to generate a first output audio signal, wherein the first audio processing includes increasing the volume.

7. The electronic device of claim 6, wherein the processor is further configured to perform: receiving a second audio signal via the transceiver; inputting the second audio signal into a machine learning model to generate an audio feature, and establishing an acoustic model based on the audio feature; and detecting the first audio signal based on the acoustic model to identify the sound sample.

8. The electronic device of claim 6, wherein the processor is further configured to perform: communicating with a display device via the transceiver; determining a channel corresponding to the first audio signal; and controlling the display device to display notification information corresponding to the channel on an output image of the display device.

9. The electronic device of claim 6, wherein the processor is further configured to: receive a second audio signal via the transceiver; and, in response to the triggering event, perform second audio processing on the second audio signal to generate a second output audio signal.

10. The electronic device of claim 9, wherein the processor is further configured to: detect the image signal to determine whether the triggering event has ended; and in response to the end of the triggering event, stop executing the second audio processing.

11. A method for audio processing, applicable to an electronic device, comprising: The electronic device receives a first audio signal and an image signal; The electronic device detects the first audio signal to identify a sound sample, performs object recognition on the image signal to obtain a candidate region, and identifies objects in the candidate region to determine whether a triggering event has occurred. In response to the triggering event, the electronic device performs a first audio processing on the sound sample to generate a first output audio signal, wherein the first audio processing includes increasing the volume.

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