CN114268639A - Method, apparatus, device, system, and medium for voice control - Google Patents
Method, apparatus, device, system, and medium for voice control Download PDFInfo
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Abstract
The present disclosure provides a method, apparatus, device, system, and medium for voice control. The method comprises the following steps: encoding the input voice by using an XMPP protocol to obtain encoded data; assigning a tag to encoded data indicating that the encoded data is speech; and sending the coded data and the distributed label to a voice management platform supporting an XMPP (extensible messaging and presence protocol) protocol together, so that the voice management platform decodes the coded data by using the XMPP protocol according to the label and controls the equipment of the Internet of things according to the operation corresponding to the decoded data obtained by decoding. By encoding the input voice using XMPP protocol and assigning it a tag indicating that it is voice, it is possible to instruct a network device in the internet of things such as NB-IoT to decode associated data using XMPP protocol and perform a corresponding operation by means of the tag, thereby enabling to transfer voice information, enabling to control operations by input voice in the internet of things such as NB-IoT, thereby enabling voice control.
Description
Technical Field
The present disclosure relates to the field of internet of things, and more particularly, to a method and apparatus for voice control in the field of internet of things, an internet of things device, a voice management platform, an internet of things system, and a computer-readable storage medium.
Background
Narrow-Band Internet of Things (NB-IoT) is getting more and more research and application as an important branch in the field of Internet of Things (IoT) to meet the business requirements of the Internet of Things which is developed vigorously. The NB-IoT is built on a cellular network, supports cellular data connection of low-power devices on a wide area network by utilizing a half-duplex communication mode, and only consumes about 180kHz bandwidth for data transmission. Furthermore, NB-IoT can be deployed directly on top of a GSM network, UMTS network, or LTE network, so that reduction in deployment cost and smoothing of network upgrades can be achieved. Due to the low power consumption of the NB-IoT, the NB-IoT device battery life may be increased by at least 10 years, which may support efficient connection of devices with long standby time and high network connection requirements. In addition, NB-IoT may also provide very comprehensive indoor cellular data connection coverage.
With the coming of smart cities and big data times, wireless communication can realize connection of everything. At present, a large number of object-to-object connections have appeared, however, these connections are mostly carried over short-range communication technologies such as bluetooth, Wi-Fi, etc., and do not need to travel through the operator's mobile network. However, in order to meet the requirements of different internet of things services, in practical applications, a telecommunication network and a sensor network are applied to various application scenarios of the internet of things according to the service characteristics of the internet of things and the characteristics of a mobile communication network.
The internet of things architecture built on top of a cellular network includes a sensing layer, a network layer and an application layer. The internet of things terminal in the sensing layer is equipment which is connected with the sensing layer and the network layer in the internet of things and realizes data acquisition and data sending to the network layer, and is used for multiple functions of data acquisition, preliminary processing, encryption, transmission and the like. The internet of things gateway located in the perception layer can converge and forward data from the internet of things terminal and can also distribute the data from the application layer to the internet of things terminal. The transport layer may comprise an existing transport network such as a 3G, 4G, LTE network. The application layer can realize various upper-layer intelligent applications, such as city management, remote medical treatment, intelligent home and the like.
In the NB-IoT standard evolution R14 version, the underlying protocol does not support voice transmission, and voice transmission is also a very difficult thing due to bandwidth limitations, making it difficult to transmit any voice in NB-IoT and thus any voice control.
Disclosure of Invention
The present disclosure provides a method, an apparatus, an internet of things device, a voice management platform, an internet of things system and a computer readable storage medium for voice control, which can solve the problem that it is difficult to transmit voice for voice control in the internet of things such as NB-IoT.
According to an aspect of the present disclosure, there is provided a method for voice control, the method including: encoding the input voice by using an XMPP protocol to obtain encoded data; assigning a tag to encoded data indicating that the encoded data is speech; and sending the coded data and the distributed label to a voice management platform supporting an XMPP (extensible messaging and presence protocol) protocol together, so that the voice management platform decodes the coded data by using the XMPP protocol according to the label and controls the equipment of the Internet of things according to the operation corresponding to the decoded data obtained by decoding.
According to another aspect of the present disclosure, there is provided a method for voice control, the method including: receiving a message from an internet of things device, wherein the message comprises coded data and a label indicating that the coded data is voice, the coded data is obtained by the internet of things device by coding input voice by using an XMPP protocol, and the label is distributed to the coded data by the internet of things device; decoding the encoded data using XMPP protocol in accordance with the tag; and controlling other Internet of things equipment according to the operation corresponding to the decoded data obtained by decoding.
According to still another aspect of the present disclosure, there is provided a method for voice control, the method including: encoding the input voice by using an XMPP protocol to obtain encoded data; assigning a tag to encoded data indicating that the encoded data is speech; and sending the coded data and the distributed label together to the Internet of things equipment supporting the XMPP protocol, so that the Internet of things equipment decodes the coded data by using the XMPP protocol according to the label, and executes an operation corresponding to the decoded data according to the decoded data.
According to still another aspect of the present disclosure, there is provided an internet of things device including: a memory storing computer-executable instructions; and a processor coupled with the memory, the computer-executable instructions, when executed by the processor, causing the processor to perform the method according to the aspect of the disclosure described above.
According to yet another aspect of the present disclosure, there is provided a voice management platform comprising: a memory storing computer-executable instructions; and a processor coupled with the memory, the computer-executable instructions, when executed by the processor, causing the processor to perform the method according to the another aspect and/or the still another aspect of the present disclosure described above.
According to another aspect of the present disclosure, an internet of things system is provided, which includes the above internet of things device and the above voice management platform.
According to yet another aspect of the present disclosure, there is provided an apparatus for voice control, the apparatus comprising: means for performing the steps of any one of the methods described above.
According to yet another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, cause the processor to perform any one of the above-described methods.
By encoding input voice using an XMPP (Extensible Messaging and Presence Protocol) Protocol, which is an application layer Protocol of a Protocol stack, and assigning a tag indicating that it is voice to the encoded data, it is possible to instruct a network device in the internet of things such as NB-IoT to decode associated data using the XMPP Protocol and perform a corresponding operation by means of the tag, thereby enabling transfer of voice information, so that the operation of the network device can be controlled by the input of voice in the internet of things such as NB-IoT, thereby implementing voice control.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic structural diagram of an NB-IoT system in accordance with an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of an example of an architecture of an NB-IoT system in accordance with an embodiment of the present disclosure.
FIG. 3 is a flow chart of a method for voice control according to an embodiment of the present disclosure.
FIG. 4 is an example of code implementing voice in XMPP protocol according to an embodiment of the present disclosure.
FIG. 5 is a flow chart of another method for voice control according to an embodiment of the present disclosure.
FIG. 6 is a flow chart of yet another method for voice control according to an embodiment of the present disclosure.
Fig. 7 is a block diagram of an internet of things device according to an embodiment of the present disclosure.
FIG. 8 is a block diagram of a structure of a speech management platform according to an embodiment of the present disclosure.
Fig. 9 is a block diagram of a structure of an internet of things system according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
First, a structural schematic diagram of an NB-IoT system 100 according to an embodiment of the present disclosure is described with reference to fig. 1.
In the NB-IoT system 100, one or more NB-IoT capable internet of things terminals 110 may interface with remote platforms and applications 150 by connecting to a cellular base station 130 via an internet of things gateway 120, and in turn, connecting to an IP network 140 through the cellular base station 130. The internet of things terminal 110 may report the collected data and the like to the remote platform and application 150 via the internet of things gateway 120, the cellular base station 130, and the IP network 140, so that the remote platform and application 150 may analyze and process the data. The remote platform and application 150 may also send instructions to the internet of things terminal 110 via the IP network 140, the cellular base station 130, and the internet of things gateway 120 to request it to collect data or perform other operations.
The internet of things terminal 110 may have an eSIM (embedded SIM) card that supports a storage function and may run an operating system, so that the steps performed by the internet of things terminal 110 in the method according to the embodiment of the present disclosure may be implemented in the eSIM card. Of course, these steps may also be implemented in other components of the internet of things terminal 110, for example, in a chip dedicated to implementing the method. The internet of things gateway 120 has NB-IoT communication capability and device management capability, can manage the internet of things terminal 110, and can forward data received from the internet of things terminal 110 and from the internet of things terminal 110. The remote platform and application 150 is related to various internet of things services, and can perform device management, status query, location query, and the like.
A schematic diagram of an architecture example of an NB-IoT system in accordance with an embodiment of the present disclosure is shown in fig. 2.
As shown in fig. 2, the UE as the terminal 110 of the internet of things can carry service data that needs to be reported to the CloT service as the remote platform and the application 150 through a wireless signaling message. The radio signaling message carrying the Service data is transmitted to the SCEF (Service Capability Exposure Function, Service Capability open platform) via an MME (Mobility Management entity) in the core network, and then transmitted to the CloT Service by the SCEF.
Voice transmission is not supported in the current NB-IoT system, so that voice information cannot be transmitted between the terminal of the internet of things and the remote platform and application to perform corresponding operations. The XMPP protocol capable of asynchronously and quickly exchanging the short texts is introduced layer by layer in the application layer of the protocol stack, so that the input voice can be encoded through the XMPP protocol, and then the tag indicating that the encoded data is voice is attached to the encoded data, so that the XMPP protocol can be used for indicating the network equipment in the NB-IoT to decode the encoded data and execute corresponding operation.
A flow chart of a method 300 for voice control according to an embodiment of the present disclosure is shown in fig. 3. The internet of things device 310 in the method 300 may be the internet of things terminal 110 or the internet of things gateway 120. The internet of things device 310 may be connected to the voice management platform 320 through a base station, MME and SCEF. The voice management platform 320 can be at least a part of the remote platform and application 150 of FIG. 1 and is deployed within the CloT service of FIG. 2. The voice management platform 320 may be comprised of one or more servers that may perform internet of things services such as remote control, data collection, and the like in a distributed or centralized control manner.
In S310, the internet of things device 310 encodes the input voice using the XMPP protocol to obtain encoded data.
According to an embodiment of the present disclosure, since the XMPP protocol supports the BASE64 encoding technology, the audio file obtained by recording the input voice may be first converted into a binary file, and then the binary file is encoded into a character string by the BASE64 to obtain encoded data of the input voice.
In S320, the internet of things device 310 assigns a tag to the encoded data indicating that the encoded data is voice.
For example, in a wireless signaling message to be sent by the internet of things device 310 to the voice management platform 320, a child node composed of one or more fields may be added, a tag having a predetermined value may be set at a header of the child node to indicate that data contained in the child node is voice data, and a data portion of the child node may carry encoded data encoded by S310. For example, encoded data may be set in stringValue of a child node as a value of the node, and a tag may be set in the message type messageType, so that data in stringValue may be extracted according to the tag and determined to be encoded using the XMPP protocol according to the tag. The example of program code shown in fig. 4 may be employed to implement voice in the XMPP protocol.
In S330, the internet of things device 310 sends the encoded data and the allocated tag together to the voice management platform 320 supporting the XMPP protocol, so that the voice management platform 320 decodes the encoded data using the XMPP protocol according to the tag, and controls other internet of things devices according to an operation corresponding to the decoded data.
For example, the internet of things device 310 may convert the wireless signaling message carrying the child node as in S320 into a data stream suitable for transmission on NB-IoT, and then send the data stream to the voice management platform 320 through the base station, MME and SCEF. The voice management platform 320 may be at least a part of the CIoT service or may be a system separate from the CIoT service. Because the voice data is transmitted in a non-IP transmission mode through the SCEF network element, the voice data is prevented from being exposed in an IP network, and the safety of voice transmission is improved.
The voice management platform 320 is a system capable of controlling internet of things devices according to voice information and/or capable of receiving voice information to perform corresponding operations. The speech management platform 320 may be implemented based on a JABBER server, and thus may support the XMPP protocol. The association between the predetermined data and the predetermined operation may be stored in the voice management platform 320 or in a device accessible to the voice management platform 320. When the voice management platform 320 receives the message, if the voice management platform 320 detects that one of the child nodes included in the message carries a tag indicating that the associated data is voice, the voice management platform 320 determines that the data carried by the child node is voice data that needs to be decoded by using the XMPP protocol, and then decodes the data by using the BASE64 to obtain decoded data. Then, the voice management platform 320 searches the above-mentioned association relationship by using the decoded data, so as to determine what operation needs to be performed (for example, request the terminal of the internet of things to collect humidity information every predetermined time, request the terminal of the internet of things to start a chemical substance concentration detection function, etc.) and perform the operation, thereby achieving the purpose of controlling based on the voice input.
A flow chart of a method 500 for voice control according to an embodiment of the present disclosure is shown in fig. 5.
In S510, the internet of things device 310 receives a message sent by the voice management platform 320 that includes encoded data and a tag indicating that the encoded data is voice.
Such data and tags may be carried in a child node containing one or more fields in a message. For the voice encoded data carried in the child node, they may be received from other internet of things devices, or may be directly input into the voice management platform 320 by the user. If such data is directly input into the speech management platform 320 by the user, the speech management platform 320 may convert the input speech into encoded data through the BASE64 in the manner of S310.
Messages containing voice encoded data and tags that the voice management platform 320 is prepared to send to the internet of things device 310 may first be converted into a data stream suitable for transmission over the NB-IoT so that they may be sent to the internet of things device 310 through the SCEF network element without going through a packet data network. Therefore, the voice command can be prevented from being exposed in the IP network, and the safety of voice transmission is improved.
In S520, the internet of things device 310 decodes the encoded data using the XMPP protocol according to the tag.
Since the tag is a tag indicating that the encoded data is voice, the internet of things device can decode the data by using the XMPP protocol used for encoding the voice, thereby obtaining decoded data.
In S530, an operation corresponding to the decoded data is performed according to the decoded data obtained by decoding.
The same association relationship as the association relationship between the data and the operation that can be used by the voice management platform 320 may be stored in the internet of things device 310 or in a device that can be accessed by the internet of things device 310, so that the internet of things terminal 310 may find the association relationship according to the decoded data to determine what operation should be performed (e.g., periodically uploading collected humidity information, turning on a chemical substance concentration detection function, etc.) and perform the operation, thereby achieving the purpose of controlling based on the voice input.
A flow diagram of a method 600 for voice control according to an embodiment of the present disclosure is shown in fig. 6.
In S610, the user inputs voice from an internet of things terminal such as a smart phone.
In S620, the terminal of the internet of things encodes the input voice using the XMPP protocol, and converts the voice data recorded as a voice file into a binary stream using, for example, the BASE64 technology. For example, a user may input a voice "report temperature," and the internet of things terminal that receives the voice may convert the voice into a binary stream based on the BASE64 technology.
In S630, the terminal of the internet of things assigns a predetermined tag (e.g., 01111110) to the voice encoded data to indicate that the corresponding data is voice data, and adds the voice encoded data and the predetermined tag together as a child node to a message that needs to be sent to a voice management platform as a remote application and platform. Alternatively, the voice encoded data and the predetermined tag may be sent to the voice management platform as a single message.
In S640, the message that needs to be sent is converted into a data stream suitable for transmission over NB-IoT according to existing NB-IoT techniques.
In S650, the internet of things terminal sends the data stream to the SCEF network element through the internet of things gateway, the cellular base station, and the core network of the cellular network. The transmission in this way can avoid the message carrying the voice information from passing through the packet data network, thereby enhancing the security of the voice information transmission.
In S660, the SCEF network element forwards the data flow to the voice management platform. After the voice management platform recognizes the predetermined tag, it determines that the data associated with the tag is voice data, and then decodes the associated data using XMPP protocol. Then, the voice management platform searches a database storing the association relationship between the data and the operation according to the decoded data, and determines the operation to be executed based on the decoded data. In this example, after the voice management platform searches the database according to the data obtained by decoding, it is determined that the operation corresponding to the decoded data is to request the terminal of the internet of things to send temperature information.
In S670, the voice management platform sends the request message to the internet of things gateway through the SCEF network element, the core network, and the cellular base station. Alternatively, the voice management platform may also send the request message to the internet of things gateway through the IP network.
In S680, the internet of things gateway parses the request message to determine the operations it needs to perform. For example, in this example, the internet of things gateway determines, according to the request message, that it needs to instruct the internet of things terminal connected to the internet of things gateway to upload the acquired temperature data, and then sends the message indicating the uploaded temperature data to the internet of things terminal, so that the internet of things terminal executes a corresponding operation.
Alternatively, in other embodiments, the internet of things gateway directly forwards the request message to the internet of things terminal when determining that the request message does not request the internet of things gateway to perform the operation, so that in S680, the internet of things terminal parses the request message to determine the operation that needs to be performed. For example, in this example, the terminal of the internet of things reports the collected temperature data to the voice management platform.
The above example is described by taking an example that the user inputs voice from the terminal of the internet of things, and those skilled in the art can understand that voice can also be input from the gateway of the internet of things or the voice management platform. Under the condition that voice is input from the Internet of things gateway, the Internet of things gateway encodes the input voice, adds a preset label, and then sends the voice to the voice management platform. Under the condition that voice is input from the voice management platform, the voice management platform encodes the input voice, adds a preset label, and then sends the voice to the gateway or the terminal of the Internet of things. The incidence relation between the data and the operation is stored in the gateway or the terminal of the internet of things or the accessible equipment of the gateway or the terminal of the internet of things, so that the gateway or the terminal of the internet of things can determine the operation to be executed according to the decoded data.
In addition, the above example is described by taking the reporting temperature as an example, and those skilled in the art can understand that other operations may also be controlled by voice, for example, controlling the internet of things gateway to broadcast some data, controlling the internet of things gateway or the terminal to report its own state, and the like. In another example, the switch of the intelligent street lamp can be controlled through voice input. The user can input a voice command to the gateway of the internet of things. After receiving the voice command, the gateway of internet of things encodes the voice through BASE64 technology supported by XMPP protocol, adds a predetermined tag associated with the voice command, and then performs protocol conversion on the obtained data stream to convert the data stream into data which can be recognized by a wireless transmission network. These operations may be performed in an eSIM module of an internet of things gateway. And then, the physical network gateway sends the data after the protocol conversion to the eNB, and the eNB transmits the data to the CIoT service through the SCEF network element. Then, the CIoT service is responsible for the conversion of signaling encoded data, converts the received data into BASE64 code supported by XMPP protocol, and then transmits the data to the speech management platform implemented based on JABBER server. And the voice management platform reversely passes through the SCEF network element after receiving the information, and distributes a reverse instruction to the intelligent street lamp serving as the terminal of the Internet of things through a downlink DL-DCH channel so as to execute switching operation.
The method for performing voice control according to the embodiment of the present disclosure is described above, and the block diagrams of the apparatus or system according to the embodiment of the present disclosure will be described below with reference to fig. 7 to 9.
Fig. 7 shows a block diagram of an internet of things device 700 according to an embodiment of the disclosure. The internet of things device 700 shown in fig. 7 may be an internet of things terminal or an internet of things gateway. The internet of things device 700 includes a memory 710 and a processor 720. The memory 710 may be a read-only memory, an optical disk, a hard disk, a magnetic disk, a flash memory, or any other non-volatile storage medium. The memory may store computer-executable instructions for implementing one or more of the steps of methods 300, 500, and 600.
Processor 720 may be coupled to memory 710, for example, by a bus, and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 720 is configured to execute computer-executable instructions stored in the memory 710 for implementing one or more of the steps of the methods 300, 500, and 600. Through execution of the computer-executable instructions, voice information can be transmitted for voice control in an internet of things such as NB-IoT that does not support voice transmission.
FIG. 8 shows a block diagram of a voice management platform 800 according to an embodiment of the present disclosure. The voice management platform 800 shown in fig. 8 may be a system including one or more servers, or may be a combination of components implemented in a cloud network. The speech management platform 800 includes a memory 810 and a processor 820. The memory 810 may be a read-only memory, an optical disk, a hard disk, a magnetic disk, a flash memory, or any other non-volatile storage medium. The memory may store computer-executable instructions for implementing one or more of the steps of methods 300, 500, and 600.
The processor 820 may be coupled to the memory 810, for example, by a bus, and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 820 is configured to execute computer-executable instructions stored in the memory 810 for implementing one or more of the steps of the methods 300, 500, and 600. Through execution of the computer-executable instructions, voice information can be transmitted for voice control in an internet of things such as NB-IoT that does not support voice transmission.
As in the existing computer apparatuses, the internet of things device 700 and the voice management platform 800 may be connected to an external storage apparatus through a read/write interface so as to call external data, and may also be connected to a network or other computer apparatuses through a network interface, which will not be described in detail herein.
A block diagram of the structure of an internet of things system 900 according to an embodiment of the present disclosure is shown in fig. 9. The internet of things system 900 may be a narrowband internet of things using NB-IoT technology standard, or may be an internet of things using other technology standards. The physical network system 900 may include the internet of things device 700 and the voice management platform 800 described above. In this way, voice information can be transmitted between the internet of things device 700 and the voice management platform 800 in the internet of things system 900, whereby operation control based on voice input can be realized.
Although not shown in the figures, it will be understood by those skilled in the art that the means for voice control may be implemented according to the above-described method. The apparatus may comprise a plurality of components, each of which may be configured to perform a respective step of the above-described method. Each of these components may be implemented by one or more processors and may be implemented in software, hardware, firmware, or any combination thereof.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (16)
1. A method for voice control, comprising:
encoding the input voice by using an XMPP protocol to obtain encoded data;
assigning a tag to encoded data indicating that the encoded data is speech; and
and sending the coded data and the distributed label to a voice management platform supporting an XMPP (extensible messaging and presence protocol) protocol together, so that the voice management platform decodes the coded data by using the XMPP protocol according to the label and controls the equipment of the Internet of things according to the operation corresponding to the decoded data obtained by decoding.
2. The method of claim 1, wherein after assigning a tag to the encoded data indicating that the encoded data is speech, further comprising:
converting a set of fields comprising the encoded data and the tag into a data stream suitable for transmission over an NB-IoT.
3. The method of claim 2, further comprising:
and sending the data stream to a voice management platform through the SCEF network element.
4. The method of claim 1, further comprising:
receiving a message from a voice management platform containing the tag and data associated with the tag;
decoding the data associated with the tag using XMPP protocol in accordance with the tag; and
and executing operation corresponding to the decoded data according to the decoded data obtained by decoding.
5. The method of claim 1, wherein the input speech is encoded using BASE64 encoding techniques, and the speech management platform is implemented based on a JABBER server.
6. A method for voice control, comprising:
receiving a message from an internet of things device, wherein the message comprises coded data and a label indicating that the coded data is voice, the coded data is obtained by the internet of things device by coding input voice by using an XMPP protocol, and the label is distributed to the coded data by the internet of things device;
decoding the encoded data using XMPP protocol in accordance with the tag; and
and controlling other Internet of things equipment according to the operation corresponding to the decoded data obtained by decoding.
7. The method of claim 6, wherein the message is received via a SCEF network element on an NB-IoT.
8. A method for voice control, comprising:
encoding the input voice by using an XMPP protocol to obtain encoded data;
assigning a tag to encoded data indicating that the encoded data is speech; and
sending the coded data and the distributed label to the Internet of things equipment supporting the XMPP protocol together, so that the Internet of things equipment decodes the coded data by using the XMPP protocol according to the label, and executes an operation corresponding to the decoded data according to the decoded data.
9. The method of claim 8, after assigning a tag to the encoded data indicating that the encoded data is speech, further comprising:
converting a set of fields comprising the encoded data and the tag into a data stream suitable for transmission over an NB-IoT.
10. The method of claim 9, further comprising:
and sending the data stream to the Internet of things equipment through the SCEF network element.
11. An internet of things device, comprising:
a memory storing computer-executable instructions; and
a processor coupled with the memory, the computer-executable instructions, when executed by the processor, cause the processor to perform the method of any of claims 1-5.
12. The internet of things device of claim 11, wherein the internet of things device is an internet of things terminal or an internet of things gateway.
13. A voice management platform, comprising:
a memory storing computer-executable instructions; and
a processor coupled with the memory, the computer-executable instructions, when executed by the processor, cause the processor to perform the method of any of claims 6-10.
14. An internet of things system, comprising:
the internet of things device of claim 11 or 12; and
the voice management platform of claim 13.
15. An apparatus for voice control, comprising: means for performing the method of any of claims 1-10.
16. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, cause the processor to perform the method of any one of claims 1-10.
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