CN115700876A - Wearable device, signal processing method and device - Google Patents

Abstract

The present disclosure provides a wearable device, a signal processing method and a device. The wearable device includes an audio collection module, a signal processing module, a control module, and an audio output module. The audio collection module is used to collect The environmental sound signal; the signal processing module is used to determine the target sound pressure value of the environmental sound signal, and according to the set noise classification model, determine the target noise type of the environmental sound signal; and, the control module , for controlling the audio output module to play a target masking sound when the target sound pressure value is greater than a set sound pressure threshold and the target noise type conforms to the set noise type.

Description

Wearable device, signal processing method and device

technical field

Embodiments of the present disclosure relate to the technical field of electronic devices, and more specifically, to a wearable device, a signal processing method, and an apparatus.

Background technique

Sleep quality seriously affects people's daily work, study and life. With the continuous development of wearable devices, more and more users use wearable devices. How to improve users' sleep quality based on wearable devices has become an urgent problem to be solved.

Contents of the invention

An object of the embodiments of the present disclosure is to provide a new technical solution for a wearable device.

According to the first aspect of an embodiment of the present disclosure, a wearable device is provided, including an audio collection module, a signal processing module, a control module and an audio output module,

The audio collection module is used to collect ambient sound signals around the wearable device;

The signal processing module is configured to determine the target sound pressure value of the environmental sound signal, and determine the target noise type of the environmental sound signal according to the set noise classification model; and,

The control module is configured to control the audio output module to play the target masking sound when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type.

Optionally, the signal processing module is also used to obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and,

The set noise type model is obtained according to the training sample set.

Optionally, the wearable device further includes a receiving module and a storage module,

The receiving module is configured to receive a first sound pressure value, and store the first sound pressure value as the set sound pressure threshold in the storage module; and,

receiving the target masking sound and storing it in the storage module; wherein the target masking sound includes one of pink noise, white noise, stream sound, ocean wave sound, and rain sound; and,

The playback parameters receiving the target masking sound are stored in the storage module; wherein, the playback parameters include at least one item of playback period, playback duration, number of playback cycles, and total playback duration.

Optionally, the signal processing module is specifically configured to control the audio output module to Play the target masking sound with the above playback parameters;

The control module is configured to calculate the first playing duration of the target masking sound or the number of repetitions of the playing cycle of the target masking sound; and,

When the first playback duration reaches the total playback duration or the number of repetitions of the playback cycle reaches the playback cycle, the audio collection module is controlled to stop collecting environmental sound signals around the wearable device.

Optionally, the wearable device includes a casing, and the side of the casing is provided with a sound pickup hole of the audio collection module and a sound outlet hole of the audio output module, and the signal processing module and the control module are set within the enclosure.

According to a second aspect of the present disclosure, a signal processing method is provided, which is applied to the wearable device described in the first aspect above, wherein the method includes:

collecting ambient sound signals around the wearable device;

determining the target sound pressure value of the ambient sound signal;

Determine the target noise type of the ambient sound signal according to the set noise type model;

When the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, the audio output module is controlled to play a target masking sound.

Optionally, the method also includes:

Obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and,

The set noise type model is obtained according to the training sample set.

According to a third aspect of the present disclosure, a signal processing device is provided, which is applied to the wearable device described in the first aspect above, wherein the device includes:

The collection module is used to collect the ambient sound signal around the wearable device;

A first determination module, configured to determine the target sound pressure value of the environmental sound signal;

The second determination module is used to determine the target noise type of the environmental sound signal according to the set noise type model;

A control module, configured to control the audio output module to play a target masking sound when the target sound pressure value is greater than a set sound pressure threshold and the target noise type conforms to the set noise type.

Optionally, the signal processing device also includes a training module for:

Obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and,

Obtain the set noise type model according to the training sample set

According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the signal processing method described in the second aspect above is executed.

A beneficial effect of the embodiments of the present disclosure is that the wearable device includes an audio collection module, a signal processing module, a control module and an audio output module, the audio collection module is used to collect environmental sound signals around the wearable device, and the signal processing module is used to Determine the target sound pressure value of the environmental sound signal, and determine the target noise type of the environmental sound signal according to the set noise classification model. In the case of the noise type, controlling the audio output module to play the target masking sound can improve the noise comfort in the environment, thereby improving the user's sleep quality.

Other features of the present specification and advantages thereof will become apparent through the following detailed description of exemplary embodiments of the present specification with reference to the accompanying drawings.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate the embodiments of the specification and together with the description serve to explain the principles of the specification.

FIG. 1 is a schematic diagram of a hardware configuration of a wearable device according to an embodiment of the disclosure;

2 is a schematic diagram of a hardware configuration of a smart watch according to an embodiment of the present disclosure;

FIG. 3 is a schematic flowchart of a signal processing method according to an embodiment of the present disclosure;

FIG. 4 is a schematic flowchart of a signal processing method according to an example of the present disclosure;

FIG. 5 is a functional block diagram of a signal processing device according to an embodiment of the present disclosure.

Detailed ways

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that relative arrangements of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the embodiments of the present disclosure unless specifically stated otherwise.

The following description of at least one exemplary embodiment is merely illustrative in nature and in no way intended as any limitation of the disclosure, its application or uses.

Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

In all examples shown and discussed herein, any specific values should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have different values.

It should be noted that like numerals and letters denote like items in the following figures, therefore, once an item is defined in one figure, it does not require further discussion in subsequent figures.

<device embodiment>

1 is a block diagram of a hardware configuration of a wearable device 1 according to an embodiment of the present disclosure. Referring to FIG. The signal processing module 120 is respectively connected with the audio collection module 110 and the control module 130 , and the control module 130 is also connected with the audio output module 140 .

The audio collection module 110 is used for collecting environmental sound signals around the wearable device.

The signal processing module 120 is configured to determine the target sound pressure value of the environmental sound signal, and determine the target noise type of the environmental sound signal according to a set noise classification model.

The control module 130 is configured to control the audio output module 140 to play a target masking sound when the target sound pressure value is greater than a set sound pressure threshold and the target noise type conforms to the set noise type.

In this embodiment, the audio collection module 110 may include a microphone, and the audio collection module 110 may include one microphone, or multiple microphones, so as to collect environmental sounds of different orientations of the environment where the wearable device is currently located through multiple microphones. Signal. Among them, wearable devices may include, but are not limited to, smart earphones, smart watches, and smart bracelets.

In this embodiment, the audio output module 140 may include a speaker, and the audio output module 140 may include one speaker, or multiple speakers, so as to play target masking sounds in different directions of the electronic current environment through multiple speakers.

Optionally, the wearable device 1 includes a casing, and the sound pickup hole of the audio collection module 110 and the sound outlet hole of the audio output module 140 are opened on the side of the casing, and the signal processing module 120 and the control The module 130 is disposed in the housing.

Referring to FIG. 2 , taking the wearable device 1 as an example of a smart watch, the smart watch includes a housing, the housing is provided with a dial 41, the dial 41 is provided with a pointer 42, and the side of the housing is opened as a sound hole for one or more microphones. Shown in Fig. 2 is that the sound pickup hole 43 of a microphone is opened on the side, and the side opening is used as the sound outlet of one or more speakers. What is shown in Fig. 2 is the sound outlet 44 of a speaker on the side.

In a specific embodiment, the audio collection module 110 collects ambient sound signals around the wearable device, and sends the collected ambient sound signals to the signal processing module 120 . On the one hand, the signal processing module 120 may calculate the sound pressure value of the ambient sound signal based on the set sound pressure level calculation formula. On the other hand, the signal processing module 120 may input the collected environmental sound signal into a set noise classification model to obtain the noise type to which the environmental sound signal belongs as the target noise type.

The above noise classification model can reflect the relationship between the environmental sound signal and its corresponding noise type. The input of the noise classification model is the collected environmental sound signal, and the output is the noise type corresponding to the environmental sound signal. The noise classification model may be a neural network model, such as but not limited to a BP (Back Propagation) neural network model, a convolutional neural network model, etc. This embodiment does not specifically limit the noise classification model here. In this embodiment, before the signal processing module 120 determines the target noise type of the environmental sound signal according to the set noise classification model, it needs to be trained based on the training sample set to obtain the set noise type model.

Here, the signal processing module 120 is also used to obtain a training sample set before determining the target noise type of the environmental sound signal according to the set noise classification model; wherein, each training sample in the training sample set includes an environmental sound signal samples and their corresponding noise type samples; and obtaining the set noise type model according to the training sample set.

The larger the number of training samples, the more accurate the training results are. However, after a certain number of training samples is reached, the accuracy of the training results will increase slowly until the orientation is stable. Here, the required number of training samples can be determined taking into account the accuracy of the training results and the cost of data processing.

In a specific embodiment, after the signal processing module 120 determines the target sound pressure value of the ambient sound signal and the target noise type of the ambient sound signal, the control module 130 will compare the target sound pressure value with the set sound pressure threshold , and comparing the target noise type with the set noise type, and when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, control the audio output module 140 to play the target masking sound, Help the user to provide a more comfortable environment sound to mask the noise during the rest period, so that they can get a better environment and help the user to fall asleep better.

The set sound pressure threshold may be a sound pressure value set by default when the wearable device leaves the factory, or may be a sound pressure value customized by the user according to his own preference. In this embodiment, the wearable device further includes a communication module, a receiving module and a storage module.

Here, the control module 130 controls the audio output module 140 to play the target masking sound before the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type. A communication connection; the receiving module is configured to receive a first sound pressure value based on the communication connection, and store the first sound pressure value as the set sound pressure threshold in the storage module.

Wherein, the communication module can establish a wired or wireless communication connection with the external device, and the receiving module can receive the set sound pressure threshold value customized by the user through the external device based on the communication connection.

The set noise type is usually the default noise type set by the wearable device when it leaves the factory. This type of noise usually affects the user's sleep quality, and this type of noise is usually low-to-medium frequency noise. Here, the set noise type may include but not limited to decoration noise, knocking noise, and loud noise. It can be understood that, due to the strong professionalism of setting the noise type, the user usually does not set the noise type, but it is set by default when the wearable device leaves the factory.

The target masking sound can be the masking sound set by default when the wearable device leaves the factory, or it can be a masking sound customized by the user according to their own preferences, such as but not limited to pink noise, white noise, stream sound, ocean wave sound, rain One of the voices.

Here, when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, the control module 130 controls the audio output module 140 to play the target masking sound, and the receiving module is used to connected to receive the target masking sound and store it in the storage module; wherein the target masking sound includes one of pink noise, white noise, stream sound, ocean wave sound, and rain sound.

It is understandable that, whether it is to improve sleep or isolate noise, it is necessary to avoid using white noise for a long time to prevent dependence, reduce the sensitivity of the brain to auditory space, and even damage the comprehensive ability of the brain to perceive sound and geographical location.

In a specific embodiment, the control module 130 controls the audio output module 140 to play the target masking sound based on the playing parameters when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type.

The playback parameters can be the playback parameters for the target masking sound set by default when the wearable device leaves the factory, or the playback parameters customized by the user according to their own preferences. The playback parameters include, but are not limited to, the playback cycle X, the playback duration t0 (s), the number of playback cycles i. Wherein, the play cycle X represents the number of plays, the play cycle number i represents the cycle number of each play cycle, and the play duration t0 represents the play time of each cycle. Specifically, it can be understood that the audio output module 140 can play in one play cycle. The target masking sound is played i times, and t0(s) is played each time.

Here, when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, the control module 130 controls the audio output module 140 to play the target masking sound, and the receiving module is used to Connecting, receiving the playing parameters of the target masker and storing them in the storage module; wherein, the playing parameters include at least one of the playing cycle, playing duration, number of playing cycles, and total playing time.

It can be understood that the total playback duration can be calculated from the playback cycle, playback duration, and playback cycle times, for example, the total playback duration _ttotal =X*t0*i, and the total playback duration is used for subsequent processing.

According to an embodiment of the present disclosure, the wearable device includes an audio collection module, a signal processing module, a control module, and an audio output module, the audio collection module is used to collect the environmental sound signal around the wearable device, and the signal processing module is used to determine the environmental sound signal The target sound pressure value, and according to the set noise classification model, determine the target noise type of the ambient sound signal, the control module is used to set the target sound pressure value is greater than the set sound pressure threshold, and the target noise type conforms to the set noise type Next, controlling the audio output module to play the target masking sound can improve the noise comfort in the environment, thereby improving the user's sleep quality.

In one embodiment, the control module 130 is configured to calculate the first playing duration of the target masking sound or the number of repetitions of the playing cycle of the target masking sound; and, when the first playing duration reaches the playing When the total duration or the number of repetitions of the playback cycle reaches the playback cycle, the audio collection module is controlled to stop collecting noise signals around the wearable device.

In a specific embodiment, when the audio output module 140 plays the target masking sound based on the playing parameters, the control module 130 can calculate the actual playing duration of the target masking sound or the number of repetitions y of the target masking sound, and When the duration reaches the total playback duration or the number of repetitions of the playback cycle y reaches the playback cycle T, the audio collection module 110 is controlled to stop collecting ambient sound signals around the wearable device; otherwise, the audio collection module 110 continues to collect ambient sound signals around the wearable device. Ambient sound signal.

<method embodiment>

Fig. 3 shows a signal processing method according to an embodiment of the present disclosure, for example, the signal processing method may be implemented by any wearable device in the above device embodiments.

As shown in FIG. 3 , the signal processing method provided by this embodiment may include the following steps S3100-S3400.

Step S3100, collecting environmental sound signals around the wearable device.

Step S3200, determining the target sound pressure value of the environmental sound signal.

Step S3300: Determine the target noise type of the environmental sound signal according to the set noise type model.

Step S3400, when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, control the audio output module to play a target masking sound.

According to an embodiment of the present disclosure, the wearable device includes an audio collection module, a signal processing module, a control module, and an audio output module, the audio collection module is used to collect the environmental sound signal around the wearable device, and the signal processing module is used to determine the environmental sound signal The target sound pressure value, and according to the set noise classification model, determine the target noise type of the ambient sound signal, the control module is used to set the target sound pressure value is greater than the set sound pressure threshold, and the target noise type conforms to the set noise type Next, controlling the audio output module to play the target masking sound can improve the noise comfort in the environment, thereby improving the user's sleep quality.

In one embodiment, the signal processing method of the embodiment of the present disclosure further includes: obtaining a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and, according to the The training sample set is used to obtain the set noise type model.

According to this embodiment, after the set noise type model is obtained through training, the target noise type of the environmental sound signal can be determined based on the set noise type model, which can improve the recognition accuracy of the noise type of the environmental sound signal.

<example>

Next, taking the wearable device as a smart watch as an example, an example signal processing method based on the smart watch is shown. Referring to Fig. 1 and Fig. 4, the signal processing method includes the following steps:

Step S601, establishing a short-distance communication connection between the smart watch and the mobile phone. Based on the short-distance communication connection, the mobile phone sets the parameters of the smart watch through the installed auxiliary sleep assistant. Specifically, you can set the sound pressure threshold P0, target masking sound, The playback parameters of the target masker, which may include the playback period T, the playback duration t0, the number of cycles i, and the total playback duration _ttotal .

The short-distance communication connection may be any one of Bluetooth connection and WiFi connection.

Step S602, the audio collection module in the smart watch collects ambient sound signals around the smart watch, and sends the collected ambient sound signals around the smart watch to the signal processing module.

Of course, the audio collection module in the mobile phone can also collect the ambient sound signals around the smart watch, and send the collected ambient sound signals around the smart watch to the signal processing module.

Step S603, the signal processing module determines the target sound pressure value of the environmental sound signal, and determines the target noise type of the environmental sound signal according to the set noise classification model, and further combines the target sound pressure value of the environmental sound signal with the target sound pressure value of the environmental sound signal The noise pattern is sent to the control module.

Step S604, the control module judges whether the target sound pressure value is greater than the set sound pressure threshold, and judges whether the target noise type conforms to the set noise type, if yes, execute step S605, otherwise, continue to execute step S602.

Step S605, when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, the control module controls the audio output to play the target masking sound based on the playback parameters, for example, the audio output module plays based on the playback period T Target masking sound, and play the target masking sound i times in a playback cycle, and play the target masking sound t0(s) each time.

In step S606, the control module calculates the playing duration of the target masker or the number of repetitions y of the playing cycle of the target masker.

Step S607, the control module judges whether the actual playing time of the target masking sound has reached the total playing time, or whether the playing cycle repetition number y of the target masking sound has reached the playing cycle T, when the actual playing time reaches the _total playing time t or the playing cycle repeating times When y reaches the playback period T, control the audio collection module to stop collecting environmental sound signals around the wearable device; otherwise, continue to execute the above step S602.

According to this example, when there are continuous and irregular noises in the environment (such as decoration sound, knocking sound, loud noise, etc.), the smart watch can help the user to provide a more comfortable environment sound to mask the noise during the rest period, so that they can get A better environment helps users to sleep better.

<Device embodiment>

Fig. 5 is a schematic structural diagram of a signal processing device according to an embodiment. Applicable to any wearable device in the above device embodiments, wherein, as shown in FIG. 5 , the signal processing device 700 includes an acquisition module 710 , a first determination module 720 , a second determination module 730 and a control module 740 .

A collection module 710, configured to collect noise signals around the wearable device;

The first determination module 720 is configured to determine the target sound pressure value of the noise signal;

The second determination module 730 is used to determine the target noise type of the noise signal according to the set noise type model;

The control module 740 is configured to control the audio output module to play a target masking sound when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type.

In one embodiment, the signal processing device 700 also includes a training module (not shown in the figure), which is used to obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type samples; and obtaining the set noise type model according to the training sample set.

According to an embodiment of the present disclosure, the wearable device includes an audio collection module, a signal processing module, a control module, and an audio output module, the audio collection module is used to collect the environmental sound signal around the wearable device, and the signal processing module is used to determine the environmental sound signal The target sound pressure value, and according to the set noise classification model, determine the target noise type of the ambient sound signal, the control module is used to set the target sound pressure value is greater than the set sound pressure threshold, and the target noise type conforms to the set noise type Next, controlling the audio output module to play the target masking sound can improve the noise comfort in the environment, thereby improving the user's sleep quality.

<Computer-readable storage medium>

Embodiments of the present disclosure also provide a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the signal processing method provided by the embodiments of the present disclosure is executed.

The present disclosure can be a system, method and/or computer program product. A computer program product may include a computer readable storage medium having computer readable program instructions thereon for causing a processor to implement various aspects of the present disclosure.

A computer readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory), static random access memory (SRAM), compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanically encoded device, such as a printer with instructions stored thereon A hole card or a raised structure in a groove, and any suitable combination of the above. As used herein, computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., pulses of light through fiber optic cables), or transmitted electrical signals.

Computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or a network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or Source or object code written in any combination, including object-oriented programming languages—such as Smalltalk, C++, etc., and conventional procedural programming languages—such as the “C” language or similar programming languages. Computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as via the Internet using an Internet service provider). connect). In some embodiments, an electronic circuit, such as a programmable logic circuit, field programmable gate array (FPGA), or programmable logic array (PLA), can be customized by utilizing state information of computer-readable program instructions, which can Various aspects of the present disclosure are implemented by executing computer readable program instructions.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine such that when executed by the processor of the computer or other programmable data processing apparatus , producing an apparatus for realizing the functions/actions specified in one or more blocks in the flowchart and/or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause computers, programmable data processing devices and/or other devices to work in a specific way, so that the computer-readable medium storing instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks in flowcharts and/or block diagrams.

It is also possible to load computer-readable program instructions into a computer, other programmable data processing device, or other equipment, so that a series of operational steps are performed on the computer, other programmable data processing device, or other equipment to produce a computer-implemented process , so that instructions executed on computers, other programmable data processing devices, or other devices implement the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, a portion of a program segment, or an instruction that includes one or more Executable instructions. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by means of hardware, implementation by means of software, and implementation by a combination of software and hardware are all equivalent.

Having described various embodiments of the present disclosure above, the foregoing description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and alterations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principle of each embodiment, practical application or technical improvement in the market, or to enable other ordinary skilled in the art to understand each embodiment disclosed herein. The scope of the present disclosure is defined by the appended claims.

Claims (10)

1. A wearable device, wherein, comprising an audio acquisition module, a signal processing module, a control module and an audio output module, The audio collection module is used to collect environmental sound signals around the wearable device; The signal processing module is configured to determine the target sound pressure value of the environmental sound signal, and determine the target noise type of the environmental sound signal according to the set noise classification model; and, The control module is configured to control the audio output module to play a target masking sound when the target sound pressure value is greater than a set sound pressure threshold and the target noise type conforms to the set noise type. 2. The wearable device according to claim 1, wherein, The signal processing module is also used to obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and, The set noise type model is obtained according to the training sample set. 3. The wearable device according to claim 1, wherein the wearable device further comprises a receiving module and a storage module, The receiving module is configured to receive a first sound pressure value, and store the first sound pressure value as the set sound pressure threshold in the storage module; and, receiving the target masking sound and storing it in the storage module; wherein the target masking sound includes one of pink noise, white noise, stream sound, ocean wave sound, and rain sound; and, The playback parameters receiving the target masking sound are stored in the storage module; wherein, the playback parameters include at least one item of playback period, playback duration, number of playback cycles, and total playback duration. 4. The wearable device according to claim 3, wherein, The signal processing module is specifically configured to control the audio output module to play based on the playback parameters when the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type. target masking sound; The control module is configured to calculate the first playing duration of the target masking sound or the number of repetitions of the playing cycle of the target masking sound; and, When the first playback duration reaches the total playback duration or the number of repetitions of the playback cycle reaches the playback cycle, the audio collection module is controlled to stop collecting environmental sound signals around the wearable device. 5. The wearable device according to claim 1, wherein the wearable device comprises a casing, and the side of the casing is provided with a sound pickup hole of the audio collection module and a sound outlet hole of the audio output module, The signal processing module and the control module are arranged in the housing. 6. A signal processing method applied to the wearable device according to any one of claims 1-5, wherein the method comprises: collecting ambient sound signals around the wearable device; determining the target sound pressure value of the ambient sound signal; Determine the target noise type of the ambient sound signal according to the set noise type model; When the target sound pressure value is greater than the set sound pressure threshold and the target noise type conforms to the set noise type, the audio output module is controlled to play a target masking sound. 7. The method according to claim 6, further comprising: Obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and, The set noise type model is obtained according to the training sample set. 8. A signal processing device, applied to the wearable device according to any one of claims 1-5, wherein the device comprises: An acquisition module, configured to acquire noise signals around the wearable device; A first determining module, configured to determine a target sound pressure value of the noise signal; The second determination module is used to determine the target noise type of the noise signal according to the set noise type model; A control module, configured to control the audio output module to play a target masking sound when the target sound pressure value is greater than a set sound pressure threshold and the target noise type conforms to the set noise type. 9. The signal processing device according to claim 8, characterized in that, the signal processing device also includes a training module for: Obtain a training sample set; wherein, each training sample in the training sample set includes an environmental sound signal sample and its corresponding noise type sample; and, The set noise type model is obtained according to the training sample set. 10. A computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed by a processor, the signal processing method according to claim 6 or 7 is executed.

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