Interphone communication method based on artificial intelligence and related device

Abstract

The invention is suitable for the technical field of communication, provides an interphone communication method based on artificial intelligence and a related device, and realizes simultaneous translation among different language types in interphone communication. The interphone communication method based on artificial intelligence mainly comprises the following steps: acquiring first audio data of a speech of a target user; identifying a language type corresponding to the first audio data, and obtaining a first target language type of the first audio data; if the first target language type is not consistent with a preset output language type, inputting the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data conforming to the output language type, the first preset artificial intelligence model is a trained model capable of translating the input audio data of multiple languages into the output audio data of multiple preset languages; and transmitting the first target audio data to a second interphone, so that the second interphone obtains and plays the first target audio data.

Description

Technical Field

[0001] The present application belongs to the field of communication technology, and in particular relates to an artificial intelligence-based intercom communication method and related devices. Background Art

[0002] Traditional walkie-talkies, two-way mobile communication tools, can communicate via specific wireless frequency bands without requiring any network support. With the rapid development and maturity of artificial intelligence (AI), walkie-talkies can also incorporate AI technology to provide more intelligent communication features with a brand-new experience. Summary of the Invention

[0003] The purpose of this application is to provide an artificial intelligence-based intercom communication method and related devices to achieve simultaneous translation between different languages ​​in intercom communication.

[0004] In a first aspect, the present application provides an artificial intelligence-based intercom communication method, which is applied to a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, and the method includes:

[0005] When the intercom function of the first intercom is activated, obtaining first audio data of a target user speaking;

[0006] Identifying a language corresponding to the first audio data to obtain a first target language of the first audio data;

[0007] If the first target language is consistent with the preset output language, transmitting the first audio data to the second intercom, so that the second intercom obtains and plays the first audio data;

[0008] If the first target language is inconsistent with the preset output language, inputting the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language, where the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages;

[0009] The first target audio data is transmitted to the second intercom, so that the second intercom acquires and plays the first target audio data.

[0010] Optionally, the method further includes:

[0011] receiving second audio data transmitted by the second intercom, where the second audio data is speech audio data acquired when the intercom function of the second intercom is activated;

[0012] Identifying a language corresponding to the second audio data to obtain a second target language of the second audio data;

[0013] If the second target language is consistent with the preset playback language, playing the second audio data;

[0014] If the second target language type is inconsistent with the preset playback language type, the second audio data is input into the first preset artificial intelligence model for processing to obtain second target audio data that conforms to the playback language type, and the second target audio data is played, and the playback language type is one of the preset language types.

[0015] Optionally, the first intercom is provided with a satellite positioning module and an Internet communication module, and the method further comprises:

[0016] When the emergency function mode of the first intercom is activated, monitoring whether an environmental danger instruction is triggered;

[0017] When the environmental hazard instruction is triggered, obtaining current positioning data;

[0018] Sending a first distress signal to a designated communication address through the Internet communication module, and transmitting a second distress signal in an unencrypted manner through a preset specific frequency band, and playing a preset alarm reminder, wherein the first distress signal and the second distress signal both include the current positioning data;

[0019] When the environmental hazard instruction is not triggered, it is ignored.

[0020] Optionally, the monitoring of whether the environmental hazard instruction is triggered includes:

[0021] Determine whether a distress voice command is received;

[0022] If a distress voice command is received, the environmental danger command is triggered;

[0023] If the monitored environmental data does not meet the preset living environment data requirements, the environmental hazard instruction is triggered;

[0024] Otherwise, it is considered that the environmental hazard instruction is not triggered.

[0025] Optionally, the first intercom is further provided with a first display screen, and the method further includes:

[0026] When the voice consultation function of the first intercom is activated, obtaining consultation audio data;

[0027] Inputting the consultation audio data into a second preset artificial intelligence model for processing to obtain consultation response data, where the second preset artificial intelligence model is a model that has been trained to recognize the expression intent of the audio data and provide response suggestion data;

[0028] The consultation response data is presented on the first display screen.

[0029] Optionally, the first intercom further includes an identity recognition module. Before acquiring the first audio data of the target user's speech, the method includes:

[0030] Only after the identity of the target user is verified by the identity recognition module, the step of triggering the execution of obtaining the first audio data of the target user's speech within the first preset time period is allowed;

[0031] Before playing the second audio data, or before playing the second target audio data, the method further includes:

[0032] Only after the identity of the target user is verified by the identity recognition module is it allowed to trigger the step of playing the second audio data or the step of playing the second target audio data within the second preset time length.

[0033] Optionally, the identity recognition module is a palmprint recognition module.

[0034] In a second aspect, the present application provides an artificial intelligence-based intercom communication device, which is applied to a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, and the device includes:

[0035] an acquiring unit, configured to acquire first audio data of a target user speaking when the intercom function of the first intercom is activated;

[0036] an identification unit, configured to identify a language type corresponding to the first audio data, and obtain a first target language type of the first audio data;

[0037] a transmission unit, configured to transmit the first audio data to the second intercom if the first target language is consistent with a preset output language, so that the second intercom obtains and plays the first audio data;

[0038] a translation unit configured to input the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language if the first target language is inconsistent with the preset output language, wherein the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages;

[0039] The transmission unit is further configured to transmit the first target audio data to the second intercom, so that the second intercom acquires and plays the first target audio data.

[0040] Optionally, the device further includes:

[0041] a receiving unit, configured to receive second audio data transmitted by the second intercom, where the second audio data is speech audio data acquired when the intercom function of the second intercom is activated;

[0042] The recognition unit is further configured to recognize a language type corresponding to the second audio data, and obtain a second target language type of the second audio data;

[0043] a playing unit, configured to play the second audio data if the second target language is consistent with a preset playing language;

[0044] The translation unit is further configured to input the second audio data into the first preset artificial intelligence model for processing if the second target language type is inconsistent with the preset playback language type, to obtain second target audio data that conforms to the playback language type, and to play the second target audio data, wherein the playback language type is one of the preset language types.

[0045] Optionally, the first intercom is provided with a satellite positioning module and an Internet communication module, and the device further comprises:

[0046] a monitoring unit, configured to monitor whether an environmental danger instruction is triggered when the emergency function mode of the first intercom is activated;

[0047] The acquisition unit is further configured to acquire current positioning data when the environmental hazard instruction is triggered;

[0048] The transmission unit is further configured to send a first distress signal to a designated communication address via the Internet communication module, and to transmit a second distress signal in an unencrypted manner via a preset specific frequency band, and to play a preset alarm reminder, wherein both the first distress signal and the second distress signal include the current positioning data;

[0049] The ignoring unit is used to ignore the environmental hazard instruction when it is not triggered.

[0050] Optionally, when the monitoring unit monitors whether the environmental hazard instruction is triggered, it is specifically used to:

[0051] Determine whether a distress voice command is received;

[0052] If a distress voice command is received, the environmental danger command is triggered;

[0053] If the monitored environmental data does not meet the preset living environment data requirements, the environmental hazard instruction is triggered;

[0054] Otherwise, it is considered that the environmental hazard instruction is not triggered.

[0055] Optionally, the first intercom is further provided with a first display screen, and the device further comprises:

[0056] The acquiring unit is configured to acquire the consultation audio data when the voice consultation function of the first intercom is activated;

[0057] a processing unit, configured to input the consultation audio data into a second preset artificial intelligence model for processing to obtain consultation response data, wherein the second preset artificial intelligence model is a model that has been trained to recognize the expression intent of the audio data and provide response suggestion data;

[0058] A presentation unit is used to present the consultation reply data on the first display screen.

[0059] Optionally, the first intercom further includes an identity recognition module, and the device includes:

[0060] a verification unit, configured to trigger the step of acquiring the first audio data of the target user's speech within a first preset time period only after verifying the identity of the target user through the identity recognition module;

[0061] The verification unit is further configured to allow the step of playing the second audio data or the step of playing the second target audio data to be triggered within a second preset time period only after the identity of the target user is verified by the identity recognition module.

[0062] Optionally, the identity recognition module is a palmprint recognition module.

[0063] In a third aspect, the present application provides a computer device, comprising:

[0064] Processor, memory, bus, input and output interface, network interface;

[0065] The processor is connected to the memory, the input / output interface, and the network interface via a bus;

[0066] The memory stores a program;

[0067] When the processor executes the program stored in the memory, it implements the artificial intelligence-based intercom communication method described in any one of the first aspects above.

[0068] In a fourth aspect, the present application provides a computer storage medium having instructions stored therein. When the instructions are executed on a computer, the computer executes the artificial intelligence-based intercom communication method described in any one of the first aspects above.

[0069] In a fifth aspect, the present application provides a computer program product, which, when executed on a computer, enables the computer to execute the artificial intelligence-based intercom communication method described in any one of the first aspects above.

[0070] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0071] The present application is applied to an artificial intelligence-based intercom communication method for a first intercom, in which the first intercom establishes an encrypted communication connection with the second intercom to meet the communication confidentiality requirements between the intercoms; when the intercom function of the first intercom is activated, first audio data of the target user's speech is obtained; the language type corresponding to the first audio data is identified, and the first target language type of the first audio data is learned; if the first target language type is consistent with the preset output language type, it is considered that the user of the second intercom can understand the speech in the first target language type. In this embodiment, it is assumed that the user of the second intercom understands the speech in the preset output language type better, and the first audio data is transmitted to the second intercom so that the second intercom obtains and plays the first audio data; if the first target language type is inconsistent with the preset output language type, it is considered that the user of the second intercom can understand the speech in the first target language type. If the user cannot understand the speech in the first target language, the first audio data is input into the first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language. The first preset artificial intelligence model is a trained model that can translate input audio data in multiple languages ​​into output audio data in multiple preset languages, where the output language is one of the preset languages; the first target audio data is transmitted to the second intercom so that the second intercom obtains and plays the first target audio data. This embodiment requires that the first intercom apply artificial intelligence-related technology, but has no requirements for the second intercom. That is, even if the second intercom is a traditional ordinary intercom, it can enjoy the artificial intelligence experience brought by the first intercom and realize simultaneous interpretation between different languages ​​in intercom communication. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 This is a flow chart of an embodiment of the intercom communication method based on artificial intelligence of the present application;

[0073] Figure 2 This is a flow chart of another embodiment of the intercom communication method based on artificial intelligence of the present application;

[0074] Figure 3 This is a flow chart of another embodiment of the intercom communication method based on artificial intelligence of the present application;

[0075] Figure 4 This is a flow chart of another embodiment of the intercom communication method based on artificial intelligence of the present application;

[0076] Figure 5 This is a schematic structural diagram of an embodiment of an artificial intelligence-based intercom communication device of the present application;

[0077] Figure 6 This is a schematic structural diagram of another embodiment of the artificial intelligence-based intercom communication device of the present application;

[0078] Figure 7 This is a schematic structural diagram of an embodiment of a computer device of the present application. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0080] It should be noted that walkie-talkies, as a convenient, instant wireless communication device, enable users to communicate voice messages within a specific wireless frequency band. They are widely used in scenarios requiring fast, reliable communication, especially in environments with insufficient internet coverage or requiring teamwork. Typical application scenarios for walkie-talkies include public safety, emergency response, industrial production, transportation, outdoor adventure, and large-scale event management. Compared to mobile phones and other communication devices, walkie-talkies offer greater immediacy, enabling a single call to reach hundreds of people without dialing, and with no call charges and manageable costs. Therefore, walkie-talkies play an irreplaceable role in these application scenarios. However, conventional walkie-talkies typically only collect audio data of a user's speech when the PTT (Push-to-Talk) button is pressed, and transmit the audio data to other walkie-talkies via a specific wireless frequency band. If the two or more parties using the walkie-talkies cannot understand the same languages, then instant communication between the two or more parties via the walkie-talkies becomes ineffective. This is particularly true for cross-border, time-sensitive collaboration such as emergency rescue and disaster relief, as it may not be possible to achieve a quick response.

[0081] The artificial intelligence-based intercom communication method of the present application is run in a first intercom system of a first intercom, and the first intercom system includes: a central processing unit module, a memory module, an artificial intelligence chip module, a communication module, a button module, a satellite positioning module, a display module, an identity recognition module, a microphone receiving module, a power supply module, etc. The above modules are connected through a printed circuit board (PCB) to obtain a first intercom system; wherein the central processing unit is mainly used to comprehensively dispatch the various component modules connected to it to implement the artificial intelligence-based intercom communication method mentioned in this embodiment; the power supply module is mainly used to provide a suitable working voltage to the central processing unit module, the memory module, the artificial intelligence chip module, the communication module, the button module, the satellite positioning module, the display module, the identity recognition module, etc., and the power supply module adopts a built-in battery-powered mode; the memory module mainly stores programs for implementing the relevant steps of this embodiment, preset trained artificial intelligence models, etc.; the artificial intelligence chip module is mainly used to quickly load and run the artificial intelligence model stored in the memory module; the communication module package It includes Internet communication module, walkie-talkie RF communication module, etc., which are mainly used to realize Internet connection and / or the specific wireless frequency band of traditional walkie-talkies to talk with other walkie-talkies; the button module is mainly used to switch, turn on or off the corresponding functions through buttons (such as PTT button) or knobs (such as wireless frequency band switching adjustment knob); the satellite positioning module is used to obtain the current positioning data of the walkie-talkie, which is mainly used in user rescue scenarios; the display module is used to assist in displaying information and provide users with more decision-making reference information; the identity recognition module is mainly used to perform real-time or periodic identification of the identity of the user using the walkie-talkie, which can be a face recognition module, fingerprint recognition module, palm print recognition module, etc.; the microphone receiving module is used to collect audio data of the user's speech in the environment.

[0082] Based on the above understanding, please refer to Figure 1 The present application is applied to an embodiment of an artificial intelligence-based intercom communication method for a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, and the first intercom and the second intercom enter an encrypted call mode, including:

[0083] 101. Verify the identity of the target user through the identity recognition module.

[0084] It is understandable that the two or more parties communicating through walkie-talkies generally hope that the conversation is confidential, and only the specific person using the walkie-talkie knows the content of the conversation. In this case, it is not enough to encrypt the communication data between the walkie-talkies that establish the communication. When one or more walkie-talkies that establish the encrypted communication connection are controlled by non-specific personnel, the encrypted communication established between the walkie-talkies will have no secrets. In view of this, for walkie-talkie usage scenarios with high confidentiality requirements (such as international cooperative anti-terrorism command, etc.), the first walkie-talkie, the second walkie-talkie, and other walkie-talkies that form the encrypted communication connection in this embodiment should also be equipped with an identity recognition module. For example, the biometric characteristics of the target user with usage permission are recorded in advance on the first walkie-talkie. The biometric characteristics can be face, retina, fingerprint, voiceprint, palmprint, etc.; given that the operation habit of walkie-talkies is hand-held, this embodiment preferably uses the identity recognition module to support palmprint recognition and / or fingerprint recognition module, such as a palmprint recognition module.

[0085] It should be noted that for walkie-talkie usage scenarios with general confidentiality requirements, the first walkie-talkie in this embodiment can be configured to execute this step as needed. Once administrator-level permissions or above are set to execute this step, administrator-level permissions or above are required to disable it. The target user permissions of the first walkie-talkie are usually ordinary users, and the target user's permissions should not include the permissions to manage the settings set in this step to ensure that the settings for verifying the target user's identity through the identity recognition module are implemented.

[0086] 102. When the intercom function of the first intercom is activated, obtain first audio data of a target user speaking.

[0087] It can be understood that the first intercom in this step can be an intercom that supports half-duplex communication or full-duplex communication. The intercom function of the first intercom needs to be activated when the target user presses the PTT (Push-to-Talk) key. At this time, the microphone receiving module of the first intercom obtains the first audio data of the target user's speech.

[0088] In another embodiment, to facilitate the execution of steps 101 and 102, when the identity recognition module adopts a fingerprint recognition module, the identity recognition module of the first intercom can be integrated into the PTT key to realize rapid verification of the identity of the target user while quickly obtaining the first audio data of the target user's speech.

[0089] 103. Identify a language type corresponding to the first audio data to obtain a first target language type of the first audio data.

[0090] This step can identify the language type corresponding to the first audio data in step 102 as the first target language type by using a language type identifier pre-set in the first intercom. In another embodiment, the first audio data can also be input into a specific artificial intelligence model for language type identification to identify the language type. The specific artificial intelligence model is a trained artificial intelligence model that can identify the language type of audio data. In the prior art, audio data of different languages ​​​​can be collected by region, country, and ethnicity, and the language type of audio data of different languages ​​​​can be manually labeled as training samples so that the specific artificial intelligence model can be trained to obtain a trained model that can identify the language type of audio data. It is understandable that there are currently many mature artificial intelligence models that can identify the language type of audio data, such as iFlytek's Spark model. By calling the API interface of the model, the language type corresponding to the first audio data can be identified to obtain the first target language type of the first audio data. There are many ways to identify the language type corresponding to the first audio data, which are not limited here.

[0091] 104. If the first target language is consistent with the preset output language, transmit the first audio data to the second intercom, so that the second intercom obtains and plays the first audio data.

[0092] It is understandable that this embodiment does not require the second intercom to utilize the same artificial intelligence technology as the first intercom, in order to improve the compatibility and versatility of the first intercom with other types of intercoms. To this end, in this embodiment, the first intercom determines in step 103 whether the first target language corresponding to the first audio data is consistent with a preset output language, where the preset output language is a language that the verified user of the second intercom can understand. If the first target language corresponding to the first audio data is consistent with the preset output language, it proves that the first audio data is encrypted and transmitted to the second intercom, so that when the second intercom obtains and decrypts the first audio data and plays it, the verified user of the second intercom can understand it, and language communication is unimpeded.

[0093] 105. If the first target language type is inconsistent with the preset output language type, the first audio data is input into the first preset artificial intelligence model for processing to obtain the first target audio data that conforms to the output language type.

[0094] It is understandable that in an international cooperation scenario, the verified user of the second intercom may be a user who speaks a different language from the target user of the first intercom and cannot understand each other's language. The preset output language is the language that the verified user of the preset second intercom can understand. The target user who speaks using the first intercom corresponds to the first target language, which may be inconsistent with the language that the verified user who communicates using the second intercom can understand. At this time, if the first audio data is encrypted and transmitted to the second intercom, so that the second intercom obtains and decrypts and plays the first audio data, it is difficult for the verified user of the second intercom to understand the content of the speech, and there are obstacles to cross-language communication. To solve the above technical problem, if the first target language of the first audio data in step 103 is inconsistent with the preset output language, it is considered that the verified user of the second intercom cannot understand the speech content in the first target language, then the first audio data is input into the first preset artificial intelligence model for processing to obtain the first target audio data that conforms to the output language, so as to achieve simultaneous translation of the first audio data in the first target language into the first target audio data in the output language at the first intercom end. For example, the first target language is Mandarin and the output language is English; the first preset artificial intelligence model is a model that has been trained to translate input audio data in multiple languages ​​(Mandarin, Japanese, etc.) into output audio data in multiple preset languages ​​(English, Russian, etc.). The output language preset by the first intercom is one of the preset languages ​​that can be output by the first preset artificial intelligence model. It is sufficient to set the preset language output by the first preset artificial intelligence model to the output language in advance. Under normal circumstances, if the set output language is consistent with the recognized first target language, this step will not be executed and step 104 will be executed instead. The training of the first preset artificial intelligence model can collect a large amount of audio data in different languages ​​expressing the same semantics for training. It is necessary to combine manual annotation and classification of the semantics between different languages ​​so that the first preset artificial intelligence model can be trained to obtain a trained model that can translate input audio data in multiple languages ​​into output audio data in multiple preset languages. It is understood that the first preset artificial intelligence model in this embodiment includes a deep learning model, a convolutional neural network (CNN), etc., which is not limited here.

[0095] 106. Transmit the first target audio data to the second intercom, so that the second intercom obtains and plays the first target audio data.

[0096] In step 105, the first target audio data matching the output language is obtained. This embodiment transmits the first target audio data to the second intercom, allowing the second intercom to obtain and play the first target audio data. This embodiment assumes that the verified user of the second intercom can understand the speech content of the first target audio data matching the output language. Thus, this embodiment utilizes the first preset artificial intelligence model in the first intercom to achieve simultaneous interpretation between different languages ​​in intercom communications. Furthermore, this embodiment requires the first intercom to utilize artificial intelligence-related technologies, but does not require the second intercom to utilize such technologies. In other words, the second intercom can still enjoy the artificial intelligence experience provided by the first intercom without utilizing artificial intelligence technologies.

[0097] based on Figure 1 For the basis of the examples, see Figure 2 , another embodiment of the artificial intelligence-based intercom communication method applied to a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, including:

[0098] 201. Receive second audio data transmitted by a second intercom, where the second audio data is speech audio data acquired when an intercom function of the second intercom is activated.

[0099] The first intercom can also receive the second audio data transmitted by the second intercom at any time. Similarly, the intercom function of the second intercom requires the verification user to press the PTT (Push-to-Talk) button to be activated. At this time, the microphone receiving module of the second intercom obtains the second audio data of the verification user's speech, and the second intercom transmits the second audio data to the first intercom via a specific wireless frequency band.

[0100] 202. Identify the language type corresponding to the second audio data to obtain a second target language type of the second audio data.

[0101] As the first intercom using artificial intelligence technology, the first intercom can directly call Figure 1 The specific artificial intelligence model of step 103 of the embodiment identifies the language type corresponding to the second audio data, and then learns the second target language type of the second audio data. Similarly, it is understandable that there are many mature artificial intelligence models that can identify the language type of audio data, such as iFlytek's Spark model, which can be used to identify the language type corresponding to the second audio data by calling the API interface of the model, and learn the second target language type of the second audio data. There are many ways to identify the language type corresponding to the second audio data, which are not limited here.

[0102] 203. If the second target language is consistent with the preset playback language, the second audio data is played after the identity of the target user is verified by the identity recognition module.

[0103] It is understandable that if the second target language is consistent with the preset playback language, it proves that the target user of the first intercom is able to directly understand the speech content played by the second audio data transmitted by the second intercom. In the use scenario where the confidentiality level requirement is not high, the first intercom can directly play the second audio data in this step. In the use scenario where the confidentiality level requirement is more stringent, the second audio data will be temporarily stored in the memory module or directly discarded (the temporary storage or discarding strategy is selected based on the pre-set call timeliness requirement), and the identity of the target user needs to be verified by the identity recognition module before the second audio data is played on the first intercom.

[0104] 204. If the second target language type is inconsistent with the preset playback language type, the second audio data is input into the first preset artificial intelligence model for processing to obtain the second target audio data that conforms to the playback language type.

[0105] It is understandable that in an international cooperation scenario, the verification user of the second intercom may be a user who speaks a different language than the target user of the first intercom and cannot understand each other's language. The preset playback language is the language that the target user of the first intercom can understand. The second target language corresponding to the verification user who speaks using the second intercom may be inconsistent with the language that the target user who communicates using the first intercom can understand. The target user of the first intercom may not be able to understand the speech content of the second audio data played directly, and there are obstacles to cross-language communication. This step is to solve the above technical problems. In this step, the second audio data input can be directly called as Figure 1 In step 105 of the embodiment, the first preset artificial intelligence model processes and obtains the second target audio data that matches the playback language. The playback language preset by the first intercom is one of the multiple preset languages ​​that the first preset artificial intelligence model can output.

[0106] 205. Play the second target audio data after verifying the identity of the target user through the identity recognition module.

[0107] In scenarios where the confidentiality level is not high, the first intercom can directly play the second target audio data in this step. In scenarios where the confidentiality level is more stringent, the second target audio data will be temporarily stored in the memory module or directly discarded (the temporary storage or discarding strategy is selected based on the pre-set call timeliness requirements). The second target audio data will only be played on the first intercom after the identity of the target user is verified by the identity recognition module. This prevents the first intercom from being eavesdropped on by someone other than the target user when the first intercom is seized, thereby improving the security and confidentiality of intercom calls.

[0108] In some other possible embodiments, especially in scenarios such as emergency rescue and outdoor exploration, this embodiment requires that the first intercom is equipped with a satellite positioning module and / or an Internet communication module. Figure 3 , another embodiment of the artificial intelligence-based intercom communication method applied to a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, including:

[0109] 301. When the emergency function mode of the first intercom is activated, monitor whether the environmental danger instruction is triggered. If the environmental danger instruction is triggered, execute step 302; if the environmental danger instruction is not triggered, execute step 304.

[0110] In this step, the emergency function mode of the first intercom can be activated by voice commands or button knobs. When the emergency function mode of the first intercom is activated, it monitors whether the environmental hazard instruction is triggered. For example, by judging whether the microphone receiving module of the first intercom receives a distress voice instruction (help, help, etc.), if a distress voice instruction is received, it is considered that the environmental hazard instruction is triggered; for example, by monitoring that the environmental data of the first intercom does not meet the preset survival environment data requirements (the concentration of dangerous gases, liquids, etc. reaches or exceeds the preset warning value standard), it is considered that the environmental hazard instruction is triggered; otherwise, it is considered that the environmental hazard instruction is not triggered. It can be understood that the triggering conditions and methods of the environmental hazard instruction can be set according to the needs of different scenarios and are not specifically limited here.

[0111] 302. Obtain current positioning data.

[0112] When step 301 determines that the environmental danger instruction is triggered, it proves that the target user of the first intercom may be in danger or in a dangerous emergency situation. The satellite positioning model of the first intercom immediately obtains the current positioning data or finds the most recently stored and updated current positioning data in the memory module. The first intercom of this embodiment periodically obtains and updates the current positioning data in the memory module through the satellite positioning module.

[0113] 303. Send a first distress signal to a designated communication address through the Internet communication module, broadcast a second distress signal in an unencrypted manner through a preset specific frequency band, and play a preset alarm reminder.

[0114] In combination with the current positioning data from step 302, a first distress signal suitable for transmission to a designated communication address via an internet communication module is generated. For example, the first distress signal may be an email or text message, and the designated communication address may be an email address or text message receiving number. Furthermore, this step may also combine the current positioning data from step 302 to generate a second distress signal suitable for unencrypted transmission via a preset specific frequency band. For example, the second distress signal may be an International Morse Code distress signal containing the current positioning data. To increase the success rate of the target user's distress call, the first intercom may then play a preset alarm reminder, which may include one or more of an alarm sound and a flashing light, to make it easier to be found.

[0115] 304. Ignore.

[0116] If step 301 determines that the environmental hazard instruction has not been triggered, it is ignored and the execution of step 301 is continued to maintain the safety alert state.

[0117] In some other possible embodiments, especially in the context of engineering construction command, please refer to Figure 4 Another embodiment of the artificial intelligence-based intercom communication method of the present application is applied to a first intercom, wherein the first intercom establishes an encrypted communication connection with a second intercom, the first intercom further includes a first display screen, and the second intercom may also include a second display screen, including:

[0118] 401. When the voice consultation function of the first intercom is activated, obtain consultation audio data.

[0119] In this step, the voice consultation function of the first intercom is mutually exclusive with the emergency function mode mentioned above, and is conditionally mutually exclusive with the encrypted call mode, and cannot be turned on at the same time. The emergency function mode has the highest priority, and the voice consultation function mode is automatically exited when the emergency function mode is turned on. In order to ensure that the first intercom can obtain consultation audio data that clearly expresses the speech content when the voice consultation function is activated, the voice consultation function of this embodiment has a higher usage permission for the microphone receiving module of the first intercom than the encrypted call mode. Even if the first intercom is in the encrypted call mode, it can forcibly take over the microphone receiving module, give priority to the language consultation function's acquisition of consultation audio data, and temporarily suspend the control of the microphone receiving module in the encrypted communication mode. In this step, the language consultation function of the intercom can be triggered to start by pressing multiple buttons at the same time, and the voice consultation function mode will be exited when released. The specific startup method of the voice consultation function of the first intercom can also be set according to actual needs, and is not specifically limited here.

[0120] 402. Input the consultation audio data into a second preset artificial intelligence model for processing to obtain consultation response data.

[0121] It is understandable that the consultation audio data obtained in step 401 contains the consultation content of the target user. In this step, it is only necessary to input the consultation audio data into the second preset artificial intelligence model for processing to obtain the consultation reply data. The consultation reply data is the reply content of the target user's consultation content, such as text, pictures, videos, etc., which can be displayed on the display screen. The second preset artificial intelligence model is a model that has been trained to recognize the expression intention of the audio data and give reply suggestion data. The second preset artificial intelligence model first translates the consultation audio data into consultation text content, and then deeply understands the consultation semantics of the consultation text content. It searches for answers in its own preset database for the consultation semantics or queries the relevant answers on the Internet through the Internet communication module, thereby forming the consultation reply data. The second preset artificial intelligence model in this step is equivalent to a combination of models in the fields of speech-to-text conversion model + real-time interactive response. For example, the second preset artificial intelligence model can be implemented through the API interface of the Deepseek AI assistant provided by Deepseek, which will not be elaborated here.

[0122] 403. Present the consultation response data on the first display screen.

[0123] The first intercom displays the consultation response data obtained in step 402 on the first display screen so that the target user of the first intercom can view it in time, and can use the artificial intelligence model to query relevant professional questions or other questions while in a call with the verified user of the second intercom, so as to supplement the knowledge needed in time and improve communication efficiency. Figure 4 The voice consultation function of the first intercom can be activated and used even when no communication connection is established with any intercom, thereby expanding the use scenarios of the intercom.

[0124] In another embodiment, the consultation response data can also be translated into target consultation response data in the same language as the output language of the second intercom, and encrypted and transmitted to the second intercom that is in encrypted communication, so that the second intercom can present it on the second display screen after decryption. This is beneficial for the verification user of the second intercom to remotely and synchronously review or understand whether the content consulted by the target user of the first intercom is correct or has deviations, and correct it in time to improve communication efficiency.

[0125] The above embodiment describes the embodiment of the intercom communication method based on artificial intelligence applied to the first intercom. The following describes the embodiment of the intercom communication device based on artificial intelligence applied to the first intercom. Please refer to Figure 5In an embodiment of an artificial intelligence-based intercom communication device applied to a first intercom, the first intercom establishes an encrypted communication connection with a second intercom, including:

[0126] An acquiring unit 501 is configured to acquire first audio data of a target user speaking when the intercom function of the first intercom is activated;

[0127] An identification unit 502 is configured to identify a language type corresponding to the first audio data, and obtain a first target language type of the first audio data;

[0128] a transmission unit 503 configured to transmit the first audio data to the second intercom if the first target language is consistent with a preset output language, so that the second intercom obtains and plays the first audio data;

[0129] a translation unit 504 configured to input the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language if the first target language is inconsistent with the preset output language, wherein the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages;

[0130] The transmission unit 503 is further configured to transmit the first target audio data to the second intercom, so that the second intercom obtains and plays the first target audio data.

[0131] The operations performed by the intercom communication device based on artificial intelligence applied to the first intercom in this application are similar to those in the aforementioned Figure 1 The operations described in the embodiment are similar and will not be repeated here.

[0132] See also Figure 6 In another embodiment of the artificial intelligence-based intercom communication device applied to a first intercom, the first intercom establishes an encrypted communication connection with a second intercom, including:

[0133] An acquiring unit 601 is configured to acquire first audio data of a target user speaking when the intercom function of the first intercom is activated;

[0134] An identification unit 602 is configured to identify a language type corresponding to the first audio data, and obtain a first target language type of the first audio data;

[0135] a transmission unit 603 configured to transmit the first audio data to the second intercom if the first target language is consistent with a preset output language, so that the second intercom obtains and plays the first audio data;

[0136] a translation unit 604 configured to input the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language if the first target language is inconsistent with the preset output language, wherein the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages;

[0137] The transmission unit 603 is further configured to transmit the first target audio data to the second intercom, so that the second intercom obtains and plays the first target audio data.

[0138] Optionally, the device further includes:

[0139] The receiving unit 605 is configured to receive second audio data transmitted by the second intercom, where the second audio data is speech audio data acquired when the intercom function of the second intercom is activated;

[0140] The recognition unit 602 is further configured to recognize a language type corresponding to the second audio data, and obtain a second target language type of the second audio data;

[0141] The playing unit 606 is configured to play the second audio data if the second target language is consistent with a preset playing language.

[0142] The translation unit 604 is also used to input the second audio data into the first preset artificial intelligence model for processing if the second target language type is inconsistent with the preset playback language type, to obtain second target audio data that conforms to the playback language type, and play the second target audio data, and the playback language type is one of the preset language types.

[0143] Optionally, the first intercom is provided with a satellite positioning module and an Internet communication module, and the device further comprises:

[0144] A monitoring unit 607, configured to monitor whether an environmental danger instruction is triggered when the emergency function mode of the first intercom is activated;

[0145] The acquisition unit 601 is further configured to acquire current positioning data when the environmental danger instruction is triggered;

[0146] The transmission unit 603 is further configured to send a first distress signal to a designated communication address via the Internet communication module, and to transmit a second distress signal in an unencrypted manner via a preset specific frequency band, and to play a preset alarm reminder, wherein both the first distress signal and the second distress signal include the current positioning data;

[0147] The ignoring unit 608 is configured to ignore the environmental hazard instruction when it is not triggered.

[0148] Optionally, when the monitoring unit 607 monitors whether the environmental hazard instruction is triggered, it is specifically used to:

[0149] Determine whether a distress voice command is received;

[0150] If a distress voice command is received, the environmental danger command is triggered;

[0151] If the monitored environmental data does not meet the preset living environment data requirements, the environmental hazard instruction is triggered;

[0152] Otherwise, it is considered that the environmental hazard instruction is not triggered.

[0153] Optionally, the first intercom is further provided with a first display screen, and the device further comprises:

[0154] The acquisition unit 601 is configured to acquire consultation audio data when the voice consultation function of the first intercom is activated;

[0155] Processing unit 609 is configured to input the consultation audio data into a second preset artificial intelligence model for processing to obtain consultation response data, where the second preset artificial intelligence model is a model that has been trained to recognize the expression intent of the audio data and provide response suggestion data;

[0156] The presentation unit 610 is configured to present the consultation reply data on the first display screen.

[0157] Optionally, the first intercom further includes an identity recognition module, and the device includes:

[0158] A verification unit 611 is configured to trigger the step of acquiring the first audio data of the target user's speech within a first preset time period only after the target user's identity is verified by the identity recognition module;

[0159] The verification unit 611 is further configured to allow the step of playing the second audio data or the step of playing the second target audio data to be triggered within a second preset time period only after the identity of the target user is verified by the identity recognition module.

[0160] Optionally, the identity recognition module is a palmprint recognition module.

[0161] The operations performed by the intercom communication device based on artificial intelligence applied to the first intercom in this application are similar to those in the aforementioned Figure 1 、 Figure 2 、 Figure 3 The operations described in the embodiments 4 and 5 are similar and will not be described again here.

[0162] The computer device in the embodiment of the present application is described below. Figure 7 , an embodiment of the computer device in the embodiment of the present application includes:

[0163] The computer device 700 may include one or more processors (central processing units, CPU) 701 and a memory 702, in which one or more applications or data are stored. Among them, the memory 702 is volatile storage or persistent storage. The program stored in the memory 702 may include one or more modules, and each module may include a series of instruction operations in the computer device. Furthermore, the processor 701 may be configured to communicate with the memory 702 and execute a series of instruction operations in the memory 702 on the computer device 700. The computer device 700 may also include: one or more network interfaces 703, one or more input and output interfaces 704, and / or one or more operating systems, such as HarmonyOS, Windows Server, Mac OS, Unix, Linux, FreeBSD, etc. The processor 701 may execute the aforementioned Figures 1 to 4 The operations performed in any of the illustrated embodiments and other embodiments will not be described in detail here.

[0164] In the several embodiments provided in the embodiments of the present application, those skilled in the art should understand that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the unit is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0165] In addition, the functional units in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0166] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements or improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. An intercom communication method based on artificial intelligence, applied to a first intercom, characterized in that: The first intercom establishes an encrypted communication connection with the second intercom, and the method includes: When the intercom function of the first intercom is activated, obtaining first audio data of a target user speaking; Identifying a language corresponding to the first audio data to obtain a first target language of the first audio data; If the first target language is consistent with the preset output language, transmitting the first audio data to the second intercom, so that the second intercom obtains and plays the first audio data; If the first target language is inconsistent with the preset output language, inputting the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language, where the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages; The first target audio data is transmitted to the second intercom, so that the second intercom acquires and plays the first target audio data.

2. The intercom communication method based on artificial intelligence according to claim 1, characterized in that: The method further comprises: receiving second audio data transmitted by the second intercom, where the second audio data is speech audio data acquired when the intercom function of the second intercom is activated; Identifying a language corresponding to the second audio data to obtain a second target language of the second audio data; If the second target language is consistent with the preset playback language, playing the second audio data; If the second target language type is inconsistent with the preset playback language type, the second audio data is input into the first preset artificial intelligence model for processing to obtain second target audio data that conforms to the playback language type, and the second target audio data is played, and the playback language type is one of the preset language types.

3. The intercom communication method based on artificial intelligence according to claim 2, characterized in that: The first intercom is provided with a satellite positioning module and an Internet communication module, and the method further comprises: When the emergency function mode of the first intercom is activated, monitoring whether the environmental danger instruction is triggered; When the environmental hazard instruction is triggered, obtaining current positioning data; Sending a first distress signal to a designated communication address through the Internet communication module, and transmitting a second distress signal in an unencrypted manner through a preset specific frequency band, and playing a preset alarm reminder, wherein the first distress signal and the second distress signal both include the current positioning data; When the environmental hazard instruction is not triggered, it is ignored.

4. The intercom communication method based on artificial intelligence according to claim 3, characterized in that: The monitoring of whether the environmental hazard instruction is triggered includes: Determine whether a voice distress command is received; If a distress voice command is received, the environmental danger command is triggered; If the monitored environmental data does not meet the preset living environment data requirements, the environmental hazard instruction is triggered; Otherwise, it is considered that the environmental hazard instruction is not triggered.

5. The intercom communication method based on artificial intelligence according to claim 3, characterized in that: The first intercom is further provided with a first display screen, and the method further comprises: When the voice consultation function of the first intercom is activated, obtaining consultation audio data; Inputting the consultation audio data into a second preset artificial intelligence model for processing to obtain consultation response data, where the second preset artificial intelligence model is a model that has been trained to recognize the expression intent of the audio data and provide response suggestion data; The consultation response data is presented on the first display screen.

6. The intercom communication method based on artificial intelligence according to claim 2, characterized in that: The first intercom further includes an identity recognition module. Before acquiring the first audio data of the target user speaking, the method includes: Only after the identity of the target user is verified by the identity recognition module, the step of triggering the execution of obtaining the first audio data of the target user's speech within the first preset time period is allowed; Before playing the second audio data, or before playing the second target audio data, the method further includes: Only after the identity of the target user is verified by the identity recognition module is it allowed to trigger the step of playing the second audio data or the step of playing the second target audio data within the second preset time length.

7. The intercom communication method based on artificial intelligence according to claim 6, characterized in that: The identity recognition module is a palm print recognition module.

8. An artificial intelligence-based intercom communication device, applied to a first intercom, characterized in that: The first intercom establishes an encrypted communication connection with the second intercom, and the device includes: an acquiring unit, configured to acquire first audio data of a target user speaking when the intercom function of the first intercom is activated; an identification unit, configured to identify a language type corresponding to the first audio data, and obtain a first target language type of the first audio data; a transmission unit, configured to transmit the first audio data to the second intercom if the first target language is consistent with a preset output language, so that the second intercom obtains and plays the first audio data; a translation unit configured to input the first audio data into a first preset artificial intelligence model for processing to obtain first target audio data that conforms to the output language if the first target language is inconsistent with the preset output language, wherein the first preset artificial intelligence model is a trained model capable of translating input audio data in multiple languages ​​into output audio data in multiple preset languages, and the output language is one of the preset languages; The transmission unit is further configured to transmit the first target audio data to the second intercom, so that the second intercom acquires and plays the first target audio data.

9. A computer device, characterized in that: include: Processor, memory, bus, input and output interface, network interface; The processor is connected to the memory, the input / output interface, and the network interface via a bus; The memory stores a program; When the processor executes the program stored in the memory, it implements the artificial intelligence-based intercom communication method described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that The computer storage medium stores instructions, and when the instructions are executed on the computer, the computer executes the artificial intelligence-based intercom communication method according to any one of claims 1 to 7.

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