WO2021218377A1

WO2021218377A1 - Noise reduction mode control method and apparatus, electronic device and storage medium

Info

Publication number: WO2021218377A1
Application number: PCT/CN2021/079131
Authority: WO
Inventors: 刘善朴
Original assignee: Oppo广东移动通信有限公司
Priority date: 2020-04-29
Filing date: 2021-03-04
Publication date: 2021-11-04
Also published as: CN111510814A

Abstract

The present application relates to the technical field of noise reduction. Disclosed are a noise reduction mode control method and apparatus, an electronic device and a storage medium. Said method comprises: monitoring a current environmental sound and trigger information of a preset application, the preset application being suitable for running in a preset traffic scene; if at least one of first trigger information and a designated environmental sound is detected, determining that an earphone is in the preset traffic scene, the first trigger information being used for characterizing that a wearer of the earphone enters a station, and the designated environmental sound being an environmental sound matching the preset traffic scene; and configuring a noise reduction mode of the earphone as a traffic noise reduction mode corresponding to the preset traffic scene. In the present application, whether an earphone is in a preset traffic scene is automatically identified by monitoring an environmental sound and trigger information of a preset application, so that a noise reduction mode can be automatically configured according to a preset traffic scene without manual configuration by a user, thereby simplifying the operation of an earphone application while ensuring the noise reduction effect, improving the user experience.

Description

Noise reduction mode control method, device, electronic equipment and storage medium

Cross-references to related applications

This application claims the priority of the Chinese application with the application number 202010357364.0 filed on April 29, 2020, and the content of the above-mentioned earlier application is incorporated into this text by way of introduction.

Technical field

This application relates to the field of noise reduction technology, and more specifically, to a noise reduction mode control method, device, electronic equipment, and storage medium.

Background technique

Active noise reduction is a noise reduction method. Its principle is to emit sound waves with completely opposite or approximately opposite phases according to the noise collected at a specified location, so that the two sound waves partially cancel each other when they meet, thereby weakening the noise and reduce.

Due to the large differences in noise in different scenes, if it is necessary to achieve a better noise reduction effect on the noise of different scenes (such as subways, airplanes, etc.), the sound waves emitted by noise reduction headphones in different scenes will be different. Therefore, there is currently a need for a solution that can automatically identify a specific scene and perform targeted noise reduction on the noise in the specific scene.

Summary of the invention

The embodiments of the present application propose a noise reduction mode control method, device, electronic equipment, and storage medium, which can automatically identify a specific scene and automatically configure the noise reduction mode according to the scene.

In the first aspect, an embodiment of the present application provides a noise reduction mode control method, the method includes: monitoring the current environmental sound and trigger information of a preset application, the preset application is suitable for running in a preset traffic scene; if At least one of the first trigger information and the designated environmental sound is monitored, and it is determined that the headset is in the preset traffic scene, wherein the first trigger information is used to characterize the entry of the wearer of the headset, and the designated environmental sound Is an environmental sound that matches the preset traffic scene; and configures the noise reduction mode of the headset as a traffic noise reduction mode corresponding to the preset traffic scene.

In the second aspect, an embodiment of the present application provides a noise reduction mode control device. The device includes: an information monitoring module for monitoring current environmental sounds and trigger information of a preset application. Running in a traffic scene; a scene determination module, configured to determine that the headset is in the preset traffic scene if at least one of the first trigger information and the specified environmental sound is monitored, wherein the first trigger information is used to characterize the The wearer of the earphone enters the station, and the designated environmental sound is an environmental sound that matches the preset traffic scene; a mode configuration module configured to configure the noise reduction mode of the earphone to the traffic corresponding to the preset traffic scene Noise reduction mode.

In a third aspect, an embodiment of the present application provides an electronic device, including: a memory; one or more processors coupled to the memory; one or more application programs, wherein one or more application programs are stored In the memory and configured to be executed by one or more processors, one or more application programs are configured to execute the noise reduction mode control method provided in the first aspect described above.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, and the computer-readable storage medium stores program code, and the program code can be invoked by a processor to execute the noise reduction mode control method provided in the first aspect. .

The noise reduction mode control method, device, electronic equipment, and storage medium provided by the embodiments of the present application monitor current environmental sounds and trigger information of preset applications suitable for running in preset traffic scenarios. At least one of the first trigger information of the wearer’s entry into the station and the designated environmental sound, it is determined that the headset is in a preset traffic scene, where the designated environmental sound is an ambient sound that matches the preset traffic scene, and the noise reduction mode of the headset Configure the traffic noise reduction mode corresponding to the preset traffic scene. Therefore, this application automatically recognizes whether the headset is in a preset traffic scene by monitoring the environmental sound and the trigger information of the preset application, and automatically configures the corresponding traffic noise reduction mode when the headset is in the preset traffic scene, thereby eliminating the need for the user to manually Configuration, the noise reduction mode can be automatically configured according to the preset traffic scene, while ensuring the noise reduction effect, it simplifies the operation of the headset application and improves the user experience.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

Figure 1 shows a schematic diagram of the interface of an application program for noise reduction headphones.

Fig. 2 shows a schematic diagram of an application scenario of a noise reduction mode control method provided by an embodiment of the present application.

FIG. 3 shows a schematic flowchart of a noise reduction mode control method provided by an embodiment of the present application.

FIG. 4 shows a schematic flowchart of a noise reduction mode control method provided by another embodiment of the present application.

Fig. 5 shows a schematic flow chart of a method for generating trigger information provided by an exemplary embodiment of the present application.

FIG. 6 shows a schematic diagram of an interface for an inbound prompt provided by an exemplary embodiment of the present application

Fig. 7 shows a schematic flowchart of step S240 in Fig. 4 provided by an exemplary embodiment of the present application.

FIG. 8 shows a schematic flowchart of step S240 in FIG. 4 provided by an exemplary embodiment of the present application.

FIG. 9 shows a schematic flowchart of a noise reduction mode control method provided by another embodiment of the present application.

FIG. 10 shows a schematic flowchart of a noise reduction mode control method provided by still another embodiment of the present application.

Fig. 11 shows a block diagram of a noise reduction mode control device provided by an embodiment of the present application.

Fig. 12 shows a structural block diagram of an electronic device provided by an embodiment of the present application.

FIG. 13 shows a storage unit provided by an embodiment of the present application for storing or carrying program code for implementing the noise reduction mode control method according to the embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application.

Definition of Terms

Active noise reduction curve: The active noise reduction curve is the curve that the active noise reduction ability of the noise reduction device reflects on the sound wave spectrogram, which is used to reflect the noise reduction ability of the active noise reduction in each frequency band of the sound.

Among them, the noise reduction capability of the noise reduction device refers to the degree to which audible sound waves are reduced before reaching the eardrum of a person. Active noise reduction does not have exactly the same noise reduction amplitude for sound waves at different frequency points. Standardized professional instruments can measure the noise reduction amplitude of the noise reduction device at each frequency point. The curve formed by connecting the noise reduction amplitude value of each frequency point is called the noise reduction curve, which has the noise reduction ability of any frequency point. A more precise description.

Among them, the spectrogram refers to the representation of a sound signal in the time domain in the frequency domain, which can be obtained by performing Fourier transform on the signal, and the resulting result will be a graph with amplitude as the vertical axis and frequency as the horizontal axis.

With the development of noise reduction technology, noise reduction headphones that can perform active noise reduction are becoming more and more common on the market, and their forms are becoming more and more diverse. Among them, the noise reduction headset refers to a headset that uses a certain method to reduce noise. At present, there are two main types of noise reduction headphones according to different noise reduction methods: active noise reduction headphones and passive noise reduction headphones.

Among them, the active noise reduction earphones use the noise reduction system to generate reverse sound waves that are equal to the external noise and have completely opposite or approximately opposite phases to neutralize the noise, thereby attenuating and reducing the noise. Active noise reduction headphones have a noise reduction circuit that can counteract external noise. Most of them use a large head-mounted design. They can use earplug cotton and earphone shells to block external noise, perform the first round of sound insulation, and also have enough Active noise reduction circuit and power supply are installed in the space.

Passive noise-cancelling headphones mainly form a closed space by surrounding the ears, or use sound-insulating materials such as silicone earplugs to block external noise. Since the noise has not been processed by the noise reduction circuit or noise reduction chip, it can generally only block high frequency noise, and the effect of noise reduction on low frequency noise is not obvious.

With the rapid development of deep learning, deep learning algorithms have become more and more widely used in the visual direction. Through the data collection of specific sounds in specific scenes, the algorithm model of active noise reduction for certain specific scenes based on deep learning algorithms has also been applied to many noise reduction headphones.

However, it is difficult to achieve a good noise reduction effect for each scene by using the same model to reduce noise in multiple scenes. And if the scene is subdivided and different models (such as subways, airplanes, etc.) are used to perform targeted noise reduction for different scenes (such as subways, airplanes, etc.), a better noise reduction effect can be obtained. One scene corresponds to the noise reduction of one model. Although the effect is better, it is necessary to reduce the noise of multiple scenes, which means that the application (APP) corresponding to the noise reduction headset needs to provide multiple noise reduction modes. The user selects, and at this time, the user is required to manually select the noise reduction intensity or the noise reduction mode, which is not convenient enough. Therefore, how to identify the current scene and match different noise reduction algorithm models to perform targeted noise reduction on the current scene is a problem faced by noise reduction headphones.

Fig. 1 shows a schematic diagram of the interface of a noise reduction headset application program. Based on this interface, the environmental sound can be controlled, and different levels correspond to different levels of noise reduction. The current Fig. 1 shows level 3. Based on the interface shown in Figure 1, if the noise reduction intensity needs to be adjusted to achieve a higher noise reduction effect, the user needs to manually control it, for example, by dragging or clicking the intensity adjustment bar to select the noise reduction intensity.

Based on the above problems, the embodiments of the present application provide a noise reduction mode control method, device, electronic equipment, and computer readable storage medium, which monitor current environmental sounds and preset applications suitable for running in preset traffic scenarios. Trigger information, if at least one of the first trigger information used to characterize the entry of the earphone wearer and the designated environmental sound is detected, it is determined that the earphone is in a preset traffic scene, where the designated environmental sound matches the preset traffic scene Ambient sound, and configure the noise reduction mode of the headset as the traffic noise reduction mode corresponding to the preset traffic scene. Therefore, this application automatically recognizes whether the headset is in a preset traffic scene by monitoring the environmental sound and the trigger information of the preset application, and automatically configures the corresponding traffic noise reduction mode when the headset is in the preset traffic scene, thereby eliminating the need for the user to manually Configuration, the noise reduction mode can be automatically configured according to the preset traffic scene, while ensuring the noise reduction effect, it simplifies the operation of the headset application and improves the user experience.

For the convenience of detailed description, the following exemplarily describes the application scenarios applicable to the embodiments of the present application with reference to the accompanying drawings.

Please refer to FIG. 2. FIG. 2 shows a schematic diagram of an application scenario of a noise reduction mode control method provided by an embodiment of the present application. The application scenario includes a noise reduction mode control system 10 provided by an embodiment of the present application. The noise reduction mode control system 10 includes: a terminal 100 and a headset 200.

Among them, the terminal 100 may be, but is not limited to, a mobile phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, moving image compression standard audio layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, moving image compression standard audio layer 4) Players, laptops or wearable electronic devices, etc. The embodiment of the present application does not limit the specific device type of the terminal 100.

In some embodiments, an application program capable of playing audio may be installed in the terminal 100. Specifically, the application program may be audio playing software, video playing software, or calling software. The terminal 100 sends the audio to be played to the earphone 200, and the earphone 200 plays the audio.

Among them, the terminal 100 and the earphone 200 may be based on a wired or wireless connection. Optionally, if they are based on a wireless connection, the terminal 100 and the earphone 200 may be wirelessly connected based on Bluetooth or a wireless network to realize data transmission, for example, earphones. 200 can obtain audio source data for playback through the terminal 100, and obtain control information for configuration. Optionally, the wireless network may be a mobile communication network or a wireless fidelity (Wireless Fidelity, WiFi) network.

Among them, the earphone 200 is equipped with a noise reduction circuit, which can support noise reduction. The earphone 200 may be a wired earphone or a wireless earphone. Optionally, the headset 200 may also specifically be a true wireless stereo (TWS) headset. Among them, the left and right earphones of a pair of TWS earphones do not need to be connected by cables, and can work independently by realizing the wireless separation of the left and right channels.

It should be noted that FIG. 2 shows only one earphone, which is only a schematic diagram of the earphone 200, and does not constitute a limitation to the embodiment of the present application. In practical applications, those skilled in the art can refer to the description of the embodiment of the present application. The solution chooses a pair of earphones, and chooses other earphones of different types as shown in Figure 2 to implement this solution.

In some embodiments, the terminal 100 may also be installed with an application program capable of controlling the headset. Based on the application program, the headset can be configured. For example, based on the application program, the user can select the noise reduction strength of the headset or the headset. The noise reduction mode. The terminal 100 can obtain the user's selection instruction, and send corresponding control information to the headset 200 according to the instruction, so as to configure the corresponding parameters of the headset 200.

In some embodiments, the noise reduction mode control method provided in the embodiments of the present application can be applied to the terminal 100, wherein the preset application can be run on the terminal 100, and the current environmental sound can be collected by the terminal 100 or the headset 200.

In other embodiments, the noise reduction mode control method provided in the embodiments of the present application can also be applied to the headset 200, and the preset application can be run on the headset 200, and the headset 200 can be used to collect current environmental sounds.

The information processing method, device, electronic equipment, and storage medium provided by the embodiments of the present application will be described in detail below through specific embodiments.

Please refer to FIG. 3, which shows a schematic flowchart of a noise reduction mode control method provided by an embodiment of the present application, which is applied to an electronic device, and the electronic device may be the aforementioned terminal or headset. The following will elaborate on the process shown in FIG. 3. The noise reduction mode control method may include the following steps:

Step S110: Monitoring the current environmental sound and the trigger information of the preset application.

Wherein, the current environmental sound is the environmental sound that the audio collecting device can collect based on the current position. The audio collecting device is used to collect audio. The audio collecting device may be, for example, a microphone or other devices that can collect audio.

In some embodiments, the audio collection device may be provided in the terminal, and the terminal collects the current environmental sound through the audio collection device to monitor whether the current environmental sound matches the designated environmental sound to determine whether the designated environmental sound is detected.

In other embodiments, the audio collection device can also be set in the earphone, and the earphone can collect the current environment sound. As a way, the earphone can send the collected current environment sound to the terminal, and the terminal executes the subsequent steps. As another way, a processor may be installed in the earphone, and the earphone collects the current environmental sound through the audio collecting device, and the environmental sound can be transmitted to the processor, so that the processor executes the subsequent steps.

It should be noted that the embodiments of the present application pre-classify the traffic scenes that the headset may be in. Optionally, because the noise on or near different vehicles may have large differences, the traffic scenes can be carried out according to different vehicles. Classification, the preset traffic scenes may include, but are not limited to, subway scenes, bus scenes, airplane scenes, and so on. The preset application is configured to be suitable for running in a preset traffic scene, and the preset traffic scene may be any of the aforementioned scenes.

In some embodiments, the preset application may be a ride application, a payment application, etc., which is not limited in this embodiment.

Exemplarily, the preset application may be a bus ride application, which is suitable for running in a bus scene. Among them, the bus ride application can be used to generate a ride logo for the user to swipe the code to ride the bus. For example, the terminal can run the bus ride application.

Exemplarily, the preset application may be a subway ride application, which is suitable for running in a subway scene. Among them, the subway ride application can be used to generate ride signs for users to swipe their codes to ride the subway, etc. And in a specific example, when the ride identification generated by the subway ride application is scanned under different circumstances, the subway ride application can generate trigger information about whether the user is currently leaving or entering the station.

Exemplarily, the preset application can also be a payment application. The payment application can be configured with multiple electronic cards. The electronic cards can be radio frequency cards simulated based on traffic cards, which can support Near Field Communication (NFC) payments. In some examples, the terminal may have a built-in NFC module, and then the NFC module can interact with the NFC reading device based on the NFC module. When the user takes a transportation, the user can bring the terminal close to the NFC reading device, and the NFC reading device can The transportation card configured by the payment application is read and the payment is made.

It is understandable that when the preset application is running, the headset may be in a preset traffic scene corresponding to the preset application. In the embodiment of the present application, the specific information generated during the running of the preset application is used as the trigger information for determining the scene where the headset is located.

Exemplarily, when the preset application is a subway ride application, the trigger information may be the description information generated when the ride mark generated by the subway ride application is scanned, and the ride mark may be the information that the user needs to swipe when taking the subway. QR code.

Step S120: If at least one of the first trigger information and the designated environmental sound is detected, it is determined that the headset is in a preset traffic scene.

Wherein, the first trigger information is used to characterize the entry of the wearer of the headset, and the designated environmental sound is an environmental sound matching a preset traffic scene. In practical applications, the inventor found that the user can enter and exit the preset traffic scene through the preset application, or not pass. For example, in the subway scene, the user may enter the station through the subway application by swiping the code, or through the transportation card For example, Shenzhen Tong, Yangcheng Tong, etc. swipe the card to enter the station. At this time, if the electronic device only monitors the trigger information of the subway ride application, it may happen that the user has actually entered the station and is in the preset traffic scene but has not been recognized. Missed inspection occurred. Therefore, the embodiment of the present application monitors both the trigger information of the preset application and the current environmental sound, which can greatly reduce the missed detection rate and improve the recognition accuracy of the preset traffic scene.

Since the user may need to open a preset application for inbound and outbound or payment when he needs to take a vehicle, it is possible to determine whether the headset is in a preset traffic scene by monitoring the trigger information of the preset application, and realize automatic identification of the scene .

In an embodiment, the first trigger information may be an application opening instruction for opening a preset application, and it may be monitored whether the preset application is opened, and when the application opening instruction for opening the preset application is monitored , Make sure the headset is in the preset traffic scene.

In another implementation manner, the first trigger information may also be information generated by the electronic device based on a preset application, and the information is used to instruct the wearer of the headset to enter the station, and the information generated based on the preset application may be monitored. Whether the information can be used to instruct the wearer of the headset to enter the station, and when it is detected that the information generated based on the preset application can be used to instruct the wearer of the headset to enter the station, it is determined that the headset is in a preset traffic scene. Thereby, the accuracy of judging that the headset is in a preset traffic scene can be improved. Specific implementation manners can be seen in the following embodiments, which will not be repeated here.

In addition, when the earphone is in a preset traffic scene, it can generally detect the environmental sound that matches the preset traffic scene. Therefore, the current environmental sound can be monitored to determine whether the specified environmental sound is monitored to realize automatic recognition of the scene.

In some embodiments, the electronic device can collect the current environmental sound, and match the audio characteristics of the current environmental sound with the audio characteristics of the specified environmental sound. If the matching is successful, it can be determined that the specified environmental sound is currently monitored, and it can be determined that the headset is in Preset traffic scenes. In some embodiments, the designated ambient sound may be the door opening and closing sound of a vehicle, for example, a subway door opening and closing sound corresponding to a subway scene; another example, a bus door opening and closing sound corresponding to a bus scene, etc., which are not limited herein. In other embodiments, the designated environmental sound can also be the broadcast sound of the vehicle, such as station announcement information, station information and other prompt information. Screen door”, “please wait in line and be careful of the gap between the train and the platform”; another example is “passengers who get off the bus, please bring your luggage and get off the bus through the back door” that corresponds to the bus scene.

In one embodiment, the electronic device may pre-store the spectrogram of the designated environmental sound, and then when monitoring the current environmental sound, the acquired spectrogram of the current environmental sound may be used for the spectrogram. The map is matched with the spectrogram of the designated environmental sound. If the matching degree is higher than the preset threshold, it can be determined that the matching is successful, and the designated environmental sound can be determined to be currently monitored. Among them, the preset threshold can be determined according to actual needs, can also be preset by a program, or can be customized by the user, which is not limited here.

Step S130: Configure the noise reduction mode of the earphone as the traffic noise reduction mode corresponding to the preset traffic scene.

When it is determined that the headset is in a preset traffic scene, the noise reduction mode of the headset may be configured as a traffic noise reduction mode corresponding to the preset traffic scene. It should be noted that different scenes correspond to different noise reduction modes, and different traffic noise reduction modes can be corresponded to different traffic scenes, so that the corresponding traffic noise reduction mode can be configured according to the scene, and the noise of each scene can be targeted The noise reduction, to achieve a better noise reduction effect.

In some embodiments, if step S120 is performed by the terminal, when the terminal determines that the headset is in a preset traffic scene, the terminal may send mode on information to the headset, and the mode on information is used to instruct the headset to turn on the traffic drop corresponding to the preset traffic scene. Noise mode. As a way, the terminal can send the mode-on information to the headset based on the wireless communication protocol. For example, the terminal can communicate with the headset via Bluetooth and perform data transmission with the headset.

In other embodiments, if step S120 is performed by the headset, when the headset determines that the headset is in the preset traffic scene, the noise reduction mode of the headset can be configured as the traffic noise reduction mode corresponding to the preset traffic scene.

In some embodiments, the headset can support multiple noise reduction modes. When it is determined that the headset is in a preset traffic scene, it can be determined whether the headset is currently turned on the noise reduction mode, or whether the current noise reduction mode is the traffic corresponding to the preset traffic scene. Noise reduction mode; if the noise reduction mode is not turned on, the traffic noise reduction mode corresponding to the preset traffic scene can be turned on; if the noise reduction mode is turned on, but the current noise reduction mode is not the traffic noise reduction mode corresponding to the preset traffic scene, it can be turned off Current noise reduction mode, turn on the traffic noise reduction mode corresponding to the preset traffic scene.

The noise reduction mode control method provided by the embodiment of the application monitors the current environmental sound and the trigger information of a preset application suitable for running in a preset traffic scene. At least one of the trigger information and the designated ambient sound is determined to determine that the headset is in a preset traffic scene, where the designated ambient sound is an ambient sound that matches the preset traffic scene, and the noise reduction mode of the headset is configured to correspond to the preset traffic scene Traffic noise reduction mode. Therefore, this application automatically recognizes whether the headset is in a preset traffic scene by monitoring the environmental sound and the trigger information of the preset application, and automatically configures the corresponding traffic noise reduction mode when the headset is in the preset traffic scene, thereby eliminating the need for the user to manually Configuration, the noise reduction mode can be automatically configured according to the preset traffic scene, while ensuring the noise reduction effect, it simplifies the operation of the headset application and improves the user experience.

Please refer to FIG. 4. FIG. 4 shows a schematic flowchart of a noise reduction mode control method provided by another embodiment of the present application. The method can be applied to the above-mentioned electronic device, and the method may include:

Step S210: Monitoring the current environmental sound and the trigger information of the preset application.

Step S220: If at least one of the first trigger information and the designated environmental sound is detected, it is determined that the headset is in a preset traffic scene.

In some embodiments, before step S220, step S221 to step S223 may be further included. Specifically, please refer to FIG. 5. FIG. 5 shows a schematic flowchart of a trigger information generation method provided by an exemplary embodiment of the present application. The following takes a subway scene as an example for description. Before step S220, it may include:

Step S221: Obtain an application opening instruction, and start a preset application.

Step S222: Generate a boarding mark for in and out of the station based on a preset application.

Step S223: If the ride identification is scanned, trigger information is generated.

In some traffic scenarios, such as subway scenarios, users can enter and exit the station through a preset application by swiping the code. The preset application can be a subway ride application, and the subway ride application can generate a ride sign for entering and exiting the station. In some examples, the form of the ride identification may be a two-dimensional code or the like, and this embodiment does not limit the specific form of the ride identification. If the user enters the station to scan the code, he can open the preset application and use the travel identification generated by the preset application to align the reading device to scan the code. When the travel identification is scanned by the reading device, the preset application can generate trigger information In some examples, it can also identify information such as the name of the site where the user enters the station. For example, when taking the subway in Shanghai, the user generally uses the Metropolis application. After the code is successfully swiped, an information interface of successful entry will pop up, where the information interface is generated based on the first trigger information generated by the code swiping. Therefore, if the first trigger information is monitored, it can be determined that the headset is in a preset traffic scene.

In some embodiments, the trigger information can be used to generate a display interface, such as user interface (UI) information, the electronic device can monitor the trigger information, and by parsing the trigger information, the inbound or outbound can be characterized according to the trigger information , If the character is entering the station, it can be determined that the earphone is in the preset traffic scene, and if the character is leaving the station, it can be determined that the earphone is not in the preset traffic scene. In some examples, monitoring can be achieved through system embedding points, monitoring or listening to events in the running process of a preset application, and setting the first trigger information as an event to be concerned, so that when the event occurs, that is, when the first trigger information is generated , Can be captured by electronic equipment, and can be monitored by electronic equipment.

And in an implementation manner, after the ride identification is scanned, the preset application can also determine information such as the site name of the current site. For example, if it is detected that the UI information is id/tvOutName(TextView)-"Successfully pitted-Longhua Middle Road", then the UI information is the first trigger information, which indicates that the wearer of the headset has entered the station. At this time, it can be determined that the headset is in the preset Traffic scene, and the name of the current stop is Longhua Middle Road.

In some embodiments, the first trigger information can be used to generate an interface that characterizes an inbound station. For example, the interface may display information such as "inbound successful", the name of the station currently inbound, as shown in FIG. 6 and FIG. 6 A schematic diagram of an interface for an inbound prompt provided by an exemplary embodiment of the present application is shown.

It should be noted that the subway ride application can be an independent subway ride application, for example, the metropolitan application used for subway rides in Shanghai; it can also be a mini program, such as the ride code mini program used for subway rides in Shenzhen In this embodiment, the specific types of subway ride applications are not limited.

In addition, in some embodiments, the preset application can also be a WiFi connection application used to connect to a hotspot. When the WiFi connection switch is turned on, it can scan the hotspots around the electronic device to obtain hotspot information, and the electronic device can store it in advance. There is designated hotspot information corresponding to the preset traffic scene. Take the subway scene as an example. If the subway station has a fixed WiFi device, the BSSID and other information of the wifi device of the station can be collected in the early stage and stored as the designated hotspot information corresponding to the subway scene In the terminal or headset. Thus, by monitoring the hotspot information scanned by the WiFi connection application, when the scanned hotspot information includes the designated hotspot information, it can be determined that the headset is in a preset traffic scene. Specifically, monitoring can be achieved through system burial points.

Among them, the hotspot information may include at least one of Service Set Identifier (SSID) and Basic Service Set Identifier (BSSID). In addition, since the BSSID uniquely characterizes a WiFi device, it can be used to accurately identify The site can determine whether the headset is in a preset traffic scene through the BSSID, which can improve the accuracy of scene recognition.

In other embodiments, the preset application may also be an application that can be used to obtain the current geographic location information of the terminal or the headset, such as GPS location information, such as a map application. Taking the subway scene as an example, if the subway station is a ground station and the GPS signal is good, the GPS location information of the station can be collected in the early stage and stored in the terminal or headset corresponding to the subway scene. In this way, the geographic location information of the electronic device can be acquired to determine that the headset is in a preset traffic scene when it is determined that the current site is a ground site based on the geographic location information, so that accurate scene recognition of the ground site can be realized.

Step S230: Configure the noise reduction mode of the earphone as the traffic noise reduction mode corresponding to the preset traffic scene.

In some embodiments, a traffic noise reduction model can be constructed in advance to correspond to the traffic noise reduction mode, and when the headset is turned on the traffic noise reduction mode, noise reduction can be performed based on the corresponding traffic noise reduction model. For example, the traffic noise reduction model can be obtained by using the Convolutional-Recurrent Neural Networks algorithm. It can be trained by separately collecting subway noise and human voice as a training set, and outputting the human voice to achieve the Noise reduction. In other embodiments, other algorithms can also be used to construct a traffic noise reduction model to reduce traffic noise, which is not limited in this embodiment.

Step S240: If the earphone is not in the preset traffic scene, turn off the traffic noise reduction mode.

In some embodiments, step S240 may include step S241 to step S242, to determine whether the headset is no longer in a preset traffic scene by monitoring trigger information of a preset application when the noise reduction mode of the headset is the traffic noise reduction mode. Specifically, please refer to FIG. 7. FIG. 7 shows a schematic flowchart of step S240 in FIG. 4 provided by an exemplary embodiment of the present application. Step S240 may include:

Step S241: If the second trigger information is detected, it is determined that the headset is no longer in the preset traffic scene.

Step S242: If the earphone is not in the preset traffic scene, turn off the traffic noise reduction mode.

When the earphone is in a preset traffic scene, if the riding logo is scanned, second trigger information can be generated, where the second trigger information is used to characterize the wearer of the earphone going out of the station. If the second trigger information is monitored, it can be determined that the headset is no longer in the preset traffic scene, and there is no need to continue to turn on the traffic noise reduction mode corresponding to the preset traffic scene, then the traffic noise reduction mode can be turned off at this time.

In some embodiments, if step S242 is executed by the terminal, when the terminal determines that the headset is not in the preset traffic scene, the terminal may send mode off information to the headset, and the mode off information is used to instruct the headset to turn off the traffic corresponding to the preset traffic scene. Noise reduction mode. As a way, the terminal may send the mode close information to the headset based on the wireless communication protocol.

In other embodiments, if step S242 is performed by the headset, when the headset determines that the headset is not in the preset traffic scene, the traffic noise reduction mode corresponding to the preset traffic scene may be turned off.

In some embodiments, based on the second trigger information, the electronic device may generate an interface that characterizes outbound. For example, the interface may display information such as "Outbound Successful", the name of the current outbound site, and so on.

In some embodiments, step S240 may include step S243 to step S245. When the noise reduction mode of the earphone is the traffic noise reduction mode, it is determined by continuing to monitor whether the specified environmental sound can be detected again within a preset time period. Whether the headset is no longer in the preset traffic scene. In this way, it is possible to monitor the outbound situation that does not pass through the preset application, so as to reduce the missed detection rate and improve the accuracy of scene recognition. Specifically, please refer to FIG. 8. FIG. 8 shows a schematic flowchart of step S240 in FIG. 4 provided by an exemplary embodiment of the present application. Step S240 may include:

Step S243: When the earphone is in a preset traffic scene, monitor the current environmental sound.

Step S244: If the designated environmental sound is not detected within the preset time period, it is determined that the headset is no longer in the preset traffic scene.

Step S245: If the earphone is not in the preset traffic scene, turn off the traffic noise reduction mode.

After confirming that the earphone is in the preset traffic scene, the current environmental sound can be monitored, and after the current environmental sound is detected for the first time, the timing can be started. If the specified environmental sound is not detected within the preset time period after the start of the timing, it can be determined The headset is not in the preset traffic scene, and the traffic noise reduction mode is turned off. Since the door is opened and closed at least once for each stop during the subway driving, the electronic equipment should be able to detect the designated ambient sound at least once when the user takes the subway and each stop the subway stops. The specified environmental sound is monitored, indicating that the user may have left the subway. Therefore, the above method can accurately monitor the earphone when it is not in the preset traffic scene, and switch the noise reduction mode as the scene changes in time.

Among them, the preset time period can be determined according to actual needs. For example, the length of the preset time period can be determined according to the travel time interval required by the subway between stations and stations, and the next station of station A is station B as For example, the time required for the subway to travel from station A to station B is the travel time interval required for the subway to travel between station A and station B. In addition, the preset time period can also be preset by the program or customized by the user, which is not limited here.

In some embodiments, the time length of the preset time period may be set to be greater than or equal to the maximum travel time interval. For example, the time length of the preset time period may be 3 minutes, 5 minutes, 10 minutes, etc. Not limited.

In addition, since the travel time intervals of the subways of different lines may be different, in other embodiments, the preset time length can also be adjusted according to the current station or the subway line corresponding to the current station, so that the monitoring can be more accurate and timely. To the event that the headset is not in the preset traffic scene, turn off the corresponding traffic noise reduction mode in time.

In addition, in some embodiments, when the headset is in a preset traffic scene, both the trigger information of the preset application and the current environmental sound may be monitored, and the second trigger information of the preset application or the preset application may be monitored. When the specified ambient sound is not detected within the time period, it is determined that the headset is no longer in the preset traffic scene, and the traffic noise reduction mode is turned off.

In other embodiments, when the headset is in a preset traffic scene, only one of the trigger information of the preset application or the current ambient sound may be monitored, so as to improve the noise reduction experience while reducing the power consumption of the electronic device.

In some embodiments, if the electronic device determines that the headset is in the preset traffic scene by monitoring the first trigger information of the preset application, then the headset is in the preset traffic scene, or the noise reduction mode of the current headset is the preset In the traffic noise reduction mode corresponding to the traffic scene, only the second trigger information of the preset application can be monitored, and the audio collection device can be controlled to shut down or sleep so that it does not collect audio, thereby reducing the power consumption of the electronic device. Since the user usually swipes out of the station after swiping the code to enter the station, by monitoring the user’s swiping code to enter the station and turning on the traffic noise reduction mode, only continue to monitor the user’s swiping out of the station, and it is possible to accurately monitor whether the headset is returned. In a preset traffic scene, at this time, by turning off or sleeping the audio collection device, power consumption is reduced, noise reduction experience is improved, and the standby time of the electronic device is prolonged.

In other embodiments, if the electronic device determines that the headset is in the preset traffic scene by monitoring the specified environmental sound, then the headset is in the preset traffic scene, or the noise reduction mode of the current headset corresponds to the preset traffic scene In the traffic noise reduction mode, you can only monitor the current ambient sound without monitoring the trigger information of the preset application. If the specified ambient sound is not detected within the preset time period, it is determined that the headset is not in the preset traffic scene, and then turned off Traffic noise reduction mode.

It should be noted that, for parts that are not described in detail in this embodiment, reference may be made to the foregoing embodiment, which will not be repeated here.

The noise reduction mode control method provided in this embodiment is based on the foregoing embodiment. When the headset is in a preset traffic scene, it continues to monitor the trigger information of the preset application and whether the specified environmental sound is detected again within the preset time period. When the second trigger information is monitored and at least one of the designated environmental sounds is not monitored again within the preset time period, it is determined that the headset is not in the preset traffic scene, and when the headset is not in the preset traffic scene , The traffic noise reduction mode corresponding to the preset traffic scene is automatically turned off, so that the noise reduction mode is automatically turned on and off when entering and exiting the preset traffic scene, which further simplifies the user's operation, does not require manual configuration by the user, and improves the user experience.

Please refer to FIG. 9. FIG. 9 shows a schematic flow chart of a noise reduction mode control method provided by another embodiment of the present application. The method can be applied to the above-mentioned electronic device. The method may include:

Step S310: Monitoring the current environmental sound and the trigger information of the preset application.

Step S320: If the first trigger information is detected, it is determined whether the designated environmental sound is detected.

If the first trigger information is detected, it is determined whether the designated environmental sound is detected, and if the designated environmental sound is detected, step S330 may be designated.

In some possible embodiments, if the specified ambient sound is not detected, it is not certain that the headset is in the preset traffic scene, and the noise reduction mode of the headset is not configured as the traffic noise reduction mode corresponding to the preset traffic scene, so as to avoid misoperation The resulting scene recognition error improves the accuracy of scene recognition.

Step S330: If the designated environmental sound is detected, it is determined that the headset is in a preset traffic scene.

Step S340: Configure the noise reduction mode of the earphone as the traffic noise reduction mode corresponding to the preset traffic scene.

In some embodiments, when the earphone is in the preset traffic scene or the noise reduction mode of the earphone is the traffic noise reduction mode, the method described in the above embodiments can also be used to monitor whether the earphone has left or is no longer in the preset traffic scene, and When the headset is not in the preset traffic scene, turn off the traffic noise reduction mode corresponding to the preset traffic scene. In this way, the traffic noise reduction mode can be automatically turned on or off according to the scene.

The noise reduction mode control method provided in this embodiment monitors the current environmental sound and the trigger information of the preset application, and if the first trigger information is detected, then determines whether the designated environmental sound is detected, and when the designated environmental sound is detected , It is determined that the headset is in the preset traffic scene, and the noise reduction mode of the headset is configured as the traffic noise reduction mode corresponding to the preset traffic scene. Further, when the earphone is in the preset traffic scene or the noise reduction mode of the earphone is the traffic noise reduction mode, it can also be monitored according to the method described in the above embodiment whether the earphone has left or is not in the preset traffic scene, and the earphone is not in the preset traffic scene. When in the preset traffic scene, turn off the traffic noise reduction mode corresponding to the preset traffic scene. In this way, the traffic noise reduction mode can be automatically turned on or off according to the scene.

The following uses a preset traffic scene as an example of a subway scene to illustrate the noise reduction mode control method provided in the above embodiment. Please refer to FIG. 10, which shows the noise reduction mode control provided by another embodiment of the present application. A schematic flow chart of the method. Specifically, the method may include:

S1: Whether to swipe the code to enter the station.

If the user enters the station to scan the QR code, the name of the station where the user enters the station can be identified through the analysis of the UI information, and then it can be judged that the mobile phone is in the subway mode, that is, the headset is in the subway scene. For example, if a user takes the subway in Shanghai, he can usually use the Metropolitan App to swipe the code to enter the station. After the code is successfully swiped, an information interface indicating that the entry is successful will pop up, as shown in Figure 6. Among them, the terminal may obtain the target UI information through the system embedded point, and the target UI information may correspond to the above-mentioned first trigger information.

S2: Monitor the sound of subway door opening and closing.

If the user does not enter the station by swiping the code, the user can identify whether the user has entered the subway according to the sound of subway opening and closing. The spectrogram of the subway door opening and closing sound can be collected in advance, and the alarm bell sound characteristics of the subway door opening and closing can be obtained.

S3: Determine whether the sound of subway door opening and closing is detected.

If the door opening and closing sound of the subway is detected, step S4 can be executed, and if the door opening and closing sound of the subway is not detected, the monitoring can be continued.

S4: Send a message that the subway mode is turned on.

S5: Turn on the subway noise reduction mode.

When it is determined that it is in the subway mode at this time, the terminal can send the subway mode opening message. After the headset service receives the subway mode opening message, it can communicate with the headset via Bluetooth to turn on the subway noise reduction mode of the headset. Among them, the headset service may be a background service of the terminal.

S6: Whether to swipe the code to leave the station.

S7: Monitor the sound of subway door opening and closing.

S8: Detect whether there is the sound of subway door opening and closing within a period of time.

S9: Send the subway mode shutdown message.

S10: Turn off the subway noise reduction mode.

When the user leaves the subway, if the user exits the station by swiping the app, the identification method is similar to that of entering the station, so I won’t repeat it. For non-swiping out of the station, the subway door opening and closing sound will be monitored, and whether the subway door opening and closing sound has been detected in the most recent period of time (such as within 10 minutes). If the subway door opening and closing sound is not detected within a period of time, confirm The user is currently out of the station, that is, the headset is no longer in the subway scene. When leaving the station, it will send the subway mode closure message. After the headset service receives the subway mode closure message, it will turn off the subway noise reduction mode. You can switch to the default noise reduction mode to reduce the noise of common environmental sounds, or switch to other reductions. In the noise mode, any noise reduction mode may not be turned on, which is not limited in this embodiment.

The noise reduction mode control method provided in this embodiment detects whether the user is currently in the subway by combining the user's swiping to enter the station and the recognition of the subway door opening and closing voice. Then the switch information of the subway mode is sent to the headset service, which is used to automatically turn on and off the subway noise reduction mode of the headset, which simplifies the operation of the headset application and improves the user experience. Specifically, the preset application and its page information when the user swipes the code to enter the station determine whether to swipe the code to enter the station; for non-swipe users, the subway mode identification is performed by recognizing the opening and closing sound of the subway door. After the subway mode is recognized, the broadcast of the subway mode is sent to the headset service through the wireless communication protocol, which is used to switch the current noise reduction mode of the headset to the subway noise reduction mode. When it is detected that the code is out of the station or the door opening and closing sound of the subway is not detected for a period of time, the broadcast of closing the subway mode is sent to the headset service, which is used to turn off the subway noise reduction mode currently turned on by the headset service and switch to the default noise reduction Mode, or don’t turn on noise reduction mode. In this way, the intelligent switching of the subway noise reduction mode of the noise reduction headset is realized, and the user experience is improved.

Refer to FIG. 11, which shows a structural block diagram of a noise reduction mode control device 1200 provided by an embodiment of the present application. The noise reduction mode control device 1200 can be applied to the above-mentioned mobile terminal. The noise reduction mode control device 1200 may include : Information monitoring module 1210, scene determination module 1220, and mode configuration module 1230, specifically:

The information monitoring module 1210 is used to monitor current environmental sounds and trigger information of preset applications, which are suitable for running in preset traffic scenarios;

The scene determination module 1220 is configured to determine that the headset is in the preset traffic scene if at least one of the first trigger information and the specified environmental sound is monitored, wherein the first trigger information is used to characterize the wearer of the headset Into the station, the designated environmental sound is an environmental sound that matches the preset traffic scene;

The mode configuration module 1230 is configured to configure the noise reduction mode of the headset to the traffic noise reduction mode corresponding to the preset traffic scene.

Further, the noise reduction mode control device 1200 further includes: an application opening module, an identification generating module, an information generating module, a second information generating module, and a mode closing module, wherein:

The application opening module is used to obtain an application opening instruction and start the preset application;

An identification generating module, configured to generate a vehicle identification for inbound and outbound stations based on the preset application;

The information generating module is configured to generate trigger information if the ride identification is scanned, and the trigger information includes first trigger information.

The second information generating module is configured to generate second trigger information if the ride identification is scanned when the earphone is in the preset traffic scene, and the second trigger information is used to characterize the wearing of the earphone者出站。

The mode closing module is configured to turn off the traffic noise reduction mode if the earphone is not in the preset traffic scene, and the traffic noise reduction mode is used to perform noise reduction processing on noise in the preset traffic scene.

Further, the mode closing module includes: a first scene determining sub-module and a first mode closing sub-module, wherein:

The first scene determination sub-module is configured to determine that the headset is no longer in the preset traffic scene if the second trigger information is monitored;

The first mode closing sub-module is configured to close the traffic noise reduction mode if the earphone is not in the preset traffic scene.

Further, the mode closing module further includes: an environmental sound monitoring sub-module, a second scene determining sub-module, and a second mode closing sub-module, wherein:

The environmental sound monitoring sub-module is used to monitor the current environmental sound when the earphone is in the preset traffic scene;

The second scene determination submodule is configured to determine that the earphone is no longer in the preset traffic scene if the designated environmental sound is not detected within a preset time period;

The second mode closing sub-module is configured to close the traffic noise reduction mode if the earphone is not in the preset traffic scene.

Further, the scene determination module 1220 further includes: a designated detection sub-module and a scene determination sub-module, wherein:

The designated detection sub-module is configured to determine whether the designated environmental sound is detected if the first trigger information is detected;

The scene determination sub-module is configured to determine that the earphone is in the preset traffic scene if the designated environmental sound is monitored.

The noise reduction mode control device provided in the embodiment of the present application is used to implement the corresponding noise reduction mode control method in the foregoing method embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

In the several embodiments provided in this application, the coupling between the modules may be electrical, mechanical or other forms of coupling.

In addition, the functional modules in the various embodiments of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules.

Please refer to FIG. 12, which shows a structural block diagram of an electronic device provided by an embodiment of the present application. The electronic device 1300 may be an electronic device capable of running application programs, such as a smart phone, a tablet computer, an e-book, a notebook computer, or a personal computer, and may also be a headset. The electronic device 1300 in this application may include one or more of the following components: a processor 1310, a memory 1320, and one or more application programs, where one or more application programs may be stored in the memory 1320 and configured to be operated by one Or multiple processors 1310 execute, and one or more programs are configured to execute the method described in the foregoing method embodiment.

The processor 1310 may include one or more processing cores. The processor 1310 uses various interfaces and lines to connect various parts of the entire electronic device 1300, and executes by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1320, and calling data stored in the memory 1320. Various functions and processing data of the electronic device 1300. Optionally, the processor 1310 may adopt at least one of digital signal processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable Logic Array, PLA). A kind of hardware form to realize. The processor 1310 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a modem, and the like. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is used for rendering and drawing of display content; the modem is used for processing wireless communication. It is understandable that the above-mentioned modem may not be integrated into the processor 1310, but may be implemented by a communication chip alone.

The memory diagram 1220 may include random access memory (RAM) or read-only memory (Read-Only Memory). The memory map 1220 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory diagram 1220 can include a storage program area and a storage data area, where the storage program area can store instructions for implementing the operating system and instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.) ), instructions used to implement the following method embodiments, etc. The storage data area can also store data created during use of the electronic device map 1200 (such as phone book, audio and video data, chat record data) and the like.

Please refer to FIG. 13, which shows a structural block diagram of a computer readable storage medium provided by an embodiment of the present application. The computer readable storage medium 1400 stores program codes, and the program codes can be invoked by a processor to execute the methods described in the foregoing embodiments.

The computer readable storage medium 1400 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium 1400 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). The computer readable storage medium 1400 has storage space for the program code 1410 for executing any method steps in the above methods. These program codes can be read from or written into one or more computer program products. The program code 1410 may be compressed in a suitable form, for example.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the application, not to limit them; although the application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions recorded in the foregoing embodiments are modified, or some of the technical features thereof are equivalently replaced; these modifications or replacements do not drive the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

A noise reduction mode control method, characterized in that the method includes:

Monitoring current environmental sounds and trigger information of a preset application, the preset application being suitable for running in a preset traffic scene;

If at least one of the first trigger information and the designated environmental sound is detected, it is determined that the headset is in the preset traffic scene, wherein the first trigger information is used to characterize that the wearer of the headset enters the station, and the designated environment The sound is an environmental sound that matches the preset traffic scene;

The noise reduction mode of the earphone is configured as a traffic noise reduction mode corresponding to the preset traffic scene.
The method according to claim 1, characterized in that, if at least one of the first trigger information and the designated environmental sound is monitored, it is determined that the headset is before the preset traffic scene, the method further comprises:

Obtain an application opening instruction, and start the preset application;

Generating a boarding sign for in and out of the station based on the preset application;

If the ride identification is scanned, trigger information is generated, and the trigger information includes first trigger information.
The method according to claim 2, wherein said generating trigger information if said ride identification is scanned, said trigger information including first trigger information, including:

If the ride identification is scanned, generate trigger information;

By monitoring and analyzing the display interface generated by the trigger information, it is determined that the trigger information includes the first trigger information.
The method according to claim 2, wherein the method further comprises:

When the headset is in the preset traffic scene, if the ride identification is scanned, second trigger information is generated, and the second trigger information is used to characterize that the wearer of the headset is out of the station.
The method according to claim 1, wherein after configuring the noise reduction mode of the earphone as a traffic noise reduction mode corresponding to the preset traffic scene, the method further comprises:

When the earphone is in the preset traffic scene, stop monitoring the current environmental sound.
The method according to claim 1, wherein the method further comprises:

If the earphone is not in the preset traffic scene, the traffic noise reduction mode is turned off, and the traffic noise reduction mode is used to perform noise reduction processing on noise in the preset traffic scene.
The method according to claim 6, wherein if the earphone is not in the preset traffic scene, turning off the traffic noise reduction mode comprises:

If the second trigger information is monitored, it is determined that the headset is no longer in the preset traffic scene;

If the earphone is not in the preset traffic scene, turn off the traffic noise reduction mode.
The method according to claim 6, wherein if the earphone is not in the preset traffic scene, turning off the traffic noise reduction mode comprises:

When the earphone is in the preset traffic scene, monitoring the current environmental sound;

If the specified environmental sound is not detected within a preset time period, determining that the earphone is no longer in the preset traffic scene;

If the earphone is not in the preset traffic scene, turn off the traffic noise reduction mode.
The method according to any one of claims 1 to 6, wherein the determining that the headset is in the preset traffic scene if at least one of the first trigger information and the designated environmental sound is monitored, further comprising:

If the first trigger information is detected, determine whether the specified environmental sound is detected;

If the designated environmental sound is detected, it is determined that the earphone is in the preset traffic scene.
The method according to claim 9, wherein the determining whether the designated environmental sound is detected comprises:

Matching the audio characteristics of the current environmental sound with the audio characteristics of the designated environmental sound;

If the matching is successful, it is determined that the specified environmental sound is detected.
The method according to claim 9, wherein the determining whether the designated environmental sound is detected comprises:

Acquiring the spectrogram of the current environmental sound;

Matching the spectrogram of the current environmental sound with the spectrogram of the specified environmental sound;

If the matching degree between the spectrogram of the current environmental sound and the spectrogram of the designated environmental sound is higher than a preset threshold, it is determined that the designated environmental sound is detected.
The method according to claim 1, wherein the configuring the noise reduction mode of the earphone as a traffic noise reduction mode corresponding to the preset traffic scene comprises: determining whether the earphone is currently turned on the noise reduction mode, and Whether the current noise reduction mode of the headset is the traffic noise reduction mode corresponding to the preset traffic scene;

If the earphone turns on the noise reduction mode and the current noise reduction mode is not the traffic noise reduction mode, turn off the current noise reduction mode and turn on the traffic noise reduction mode.
The method according to claim 1, wherein the configuring the noise reduction mode of the earphone as a traffic noise reduction mode corresponding to the preset traffic scene comprises:

Based on the traffic noise reduction model, the noise reduction mode of the headset is configured as the traffic noise reduction mode corresponding to the preset traffic scene, and the traffic noise reduction model is obtained by using a convolutional recurrent neural network algorithm.
The method according to claim 6, wherein the monitoring current environmental sounds and trigger information of preset applications comprises:

Monitor subway door opening and closing sounds and subway ride applications.
The method according to claim 14, wherein the determining that the earphone is in the preset traffic scene if at least one of the first trigger information and the designated environmental sound is detected comprises:

Judging whether the door opening and closing sound of the subway is detected, and whether the riding mark generated by the subway riding application is scanned;

When the opening sound of the subway is detected, and/or when the scanning entry of the riding sign is detected, it is determined that the headset is in the preset traffic scene, and the subway mode opening information is sent.
The method according to claim 15, wherein the configuring the noise reduction mode of the earphone as a traffic noise reduction mode corresponding to the preset traffic scene comprises:

The noise reduction mode of the earphone is configured as the subway noise reduction mode.
The method according to claim 16, wherein if the earphone is not in the preset traffic scene, turning off the traffic noise reduction mode comprises:

When the earphone is in the preset traffic scene, it is monitored that the ride identification scans out of the station;

When the earphone is in the preset traffic scene, monitoring the opening and closing sound of the subway door;

If the door opening and closing sound of the subway is not detected within the preset time, send a subway mode closing message;

Turn off the subway noise reduction mode.
A noise reduction mode control device, characterized in that the device includes:

An information monitoring module for monitoring current environmental sounds and trigger information of preset applications, the preset applications being suitable for running in a preset traffic scene;

The scene determination module is configured to determine that the headset is in the preset traffic scene if at least one of the first trigger information and the specified environmental sound is monitored, wherein the first trigger information is used to characterize the progress of the wearer of the headset Station, the designated environmental sound is an environmental sound that matches the preset traffic scene;

The mode configuration module is configured to configure the noise reduction mode of the headset to the traffic noise reduction mode corresponding to the preset traffic scene.
An electronic device, characterized in that it comprises:

One or more processors;

Memory

One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute such as The method of any one of claims 1-17.
A computer-readable storage medium, wherein the computer-readable storage medium stores program code, and the program code can be invoked by a processor to execute the method described in any one of claims 1-17. method.