Voice control method for smart tea table, smart tea table and storage medium

Abstract

The present invention discloses a voice control method for a smart tea table, the method comprising the following steps: receiving voice information; identifying the received voice information and converting it into corresponding semantic information, each semantic information including a semantic text and a semantic feature; and determining to execute a corresponding instruction according to the priority of each semantic feature and the semantic text. The present invention also discloses a smart tea table and a storage medium. The present invention aims to improve the intelligent control of the tea table.

Description

Technical Field

[0001] The present invention relates to the field of intelligent interaction technology, and in particular to a voice control method for an intelligent coffee table, an intelligent coffee table and a computer-readable storage medium. Background Art

[0002] With the continuous development of the smart home industry, more and more devices have been intelligentized, especially voice intelligence. The existing technology includes voice control of household appliances such as household refrigerators, air conditioners, and televisions, which enables users to turn on and off different devices without moving, without remote controls, and without touch control panels. However, the control devices currently require user authentication before they can be used, and other terminals are required for further control. In particular, the existing smart coffee tables can have other functions in addition to storage functions, such as coffee table lifting. However, there are certain safety hazards in the lifting process of the coffee table. Therefore, when an emergency situation of the coffee table needs to be dealt with in a short time, user authentication is required in advance, and thus full intelligence cannot be achieved.

[0003] The prior art CN111150227A provides a tea table with smart home control function. By implanting AI voice and IOT connection functions, it is compatible with common smart devices on the market, providing a control center for the interconnection of all things in the home and office area, and providing users with a new experience channel. The tea table can not only make tea, but also connect and control all smart appliances in the home, giving the tea table the ability to become the future home control center. The whole machine has many functional modules and a relatively complex design, which meets the user's requirements for smart furniture. It can be seen that the tea table is mainly used as a transfer structure for controlling the control end of other electrical appliances, and thus cannot directly solve the failure problem of the above tea table. Summary of the invention

[0004] The main purpose of the present invention is to provide a voice control method for a smart coffee table, a smart coffee table and a storage medium, aiming at solving the technical problem of how to improve the intelligent control of the coffee table.

[0005] To achieve the above object, a voice control method for a smart tea table is provided, which is applied to the smart tea table. The method comprises the following steps:

[0006] Receive voice messages;

[0007] Recognize the received voice information and convert it into corresponding semantic information, each semantic information includes semantic text and semantic features;

[0008] The execution of the corresponding instruction is determined according to the priority level of each semantic feature and semantic text.

[0009] Optionally, the semantic feature includes text intonation, and the step of determining to execute a corresponding instruction according to the priority of each semantic feature and the semantic text includes:

[0010] Determine whether the intonation of each text has a high intonation;

[0011] If there is a high tone in each text tone, the smart coffee table power-off operation is initiated.

[0012] Optionally, the semantic feature further includes text repetition information, and after the step of determining whether the intonation of each text has a high intonation, the method further includes:

[0013] If the intonation of each text does not have a high intonation, it is further determined whether the repeated information of each text has high repeated information.

[0014] Optionally, the step of determining whether the intonation of each text has a high intonation includes:

[0015] Get the intonation frequency of each text intonation;

[0016] It is determined whether the intonation frequency of each text intonation is included in a preset high intonation frequency range.

[0017] Optionally, the step of determining whether there is high repetition information in the repeated information of each text includes:

[0018] Get the interval time of repeated texts in each semantic text;

[0019] Determine whether each time interval is included in a preset time threshold range;

[0020] If each interval time is included in the preset time threshold range, the function module corresponding to the repeated text with the shortest interval time is controlled to execute the corresponding instruction.

[0021] Optionally, the semantic feature further includes text speech rate, and after the step of determining whether each time interval is included in a preset time threshold range, the step further includes:

[0022] If each interval time is not included in the preset time threshold interval, then determine whether the speech speed of each text has a high speech speed.

[0023] Optionally, the step of determining whether the speech rate of each text is high includes:

[0024] Get the speech rate value of each text;

[0025] Determining whether the speech rate value of each text is included in a preset high speech rate range;

[0026] If the speech rate values ​​of the speech rates of the texts are included in the preset high speech rate range, the function module corresponding to the semantic text with the shortest speech rate is controlled to execute the corresponding instruction;

[0027] If not, the corresponding instructions are executed according to each semantic text.

[0028] Optionally, the step of executing corresponding instructions according to each semantic text includes:

[0029] Determine whether each semantic text exists in a preset authentication text library;

[0030] If the semantic texts are included in the preset authentication text library, the feedback can receive the instruction of the new voice information, and execute the corresponding instruction according to the semantic text of the newly received voice information;

[0031] Alternatively, determining whether each semantic text exists in a preset special vocabulary library;

[0032] If each semantic text is included in the preset special vocabulary library, the actual content of the corresponding semantic text is fed back to the mobile terminal connected to the smart coffee table.

[0033] In addition, to achieve the above-mentioned objectives, the present invention also provides a smart coffee table, including a memory, a processor, and a voice control program for the smart coffee table stored in the memory and executable on the processor, wherein the voice control program for the smart coffee table, when executed by the processor, implements the steps of the voice control method for the smart coffee table as described in any one of the above items.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also provides a storage medium, on which a voice control program for a smart coffee table is stored. When the voice control program for a smart coffee table is executed by a processor, the steps of the voice control method for a smart coffee table as described in any one of the items are implemented.

[0035] The beneficial effects of the present invention are as follows: the present invention receives voice information transmitted by a user or a mobile terminal, and converts the corresponding received voice information into corresponding semantic information after recognition. Each semantic information includes a semantic text and a semantic feature. The execution of the corresponding instruction is determined according to the priority level after the specific semantic feature and the semantic text are judged, wherein each semantic feature includes text intonation, text repetition information and text speaking speed, thereby realizing that different purposes of controlling the coffee table can be achieved directly according to the different features of the voice information, while avoiding the problem that the user cannot respond to the corresponding control instruction in time due to the safety hazard of the tea table. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of the system structure of an embodiment of a system for voice-controlled coffee table according to the present invention;

[0037] Figure 2 A flow chart of an embodiment of a voice control method for a smart coffee table according to the present invention;

[0038] Figure 3 for Figure 2 A detailed flow chart of the embodiment shown;

[0039] Figure 4 is a first detailed flow chart of step S34;

[0040] Figure 5 This is a second detailed flowchart of step S34.

[0041] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0042] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0043] like Figure 1 As shown, Figure 1 It is a schematic diagram of the structure of a smart coffee table involved in an embodiment of the present invention.

[0044] like Figure 1 As shown, the smart coffee table may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 is used to receive control instructions transmitted by the user, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0045] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the smart coffee table, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0046] The specific embodiments of the smart tea table of the present invention are basically the same as the following embodiments of the voice control method for the smart tea table, and will not be described in detail here.

[0047] Reference Figure 2The present invention proposes an embodiment of a voice control method for a smart coffee table, the method comprising the following steps:

[0048] Step S10, receiving voice information;

[0049] Specifically, in this embodiment, the smart coffee table receives voice information transmitted within a preset range, and the sender of the voice information may be a user, or may be voice information converted by the user through a mobile terminal.

[0050] Step S20, identifying the received voice information and converting it into corresponding semantic information, each semantic information includes semantic text and semantic features;

[0051] Step S30, determining to execute the corresponding instruction according to the priority of each voice feature and semantic text.

[0052] Specifically, in this embodiment, the received voice information is converted into semantic text and semantic features recognizable by the tea table, and each semantic feature includes information such as text intonation, text repetition information and text speaking speed, and then the corresponding instructions are executed according to the priority level of each text intonation, text repetition information, text speaking speed and semantic text after judgment. In this embodiment, it is achieved that the tea table can be controlled for different purposes directly according to the different features of the voice information, thereby avoiding the problem of the user being unable to respond to the corresponding control instructions in time due to the safety danger of the tea table.

[0053] Furthermore, if Figure 3 As shown, the step S30 specifically includes:

[0054] Step S31, determining whether there is a high tone in each text intonation;

[0055] Specifically, in the present embodiment, by acquiring the intonation frequency of each text intonation, and determining whether the intonation frequency of each text intonation is included in a preset high intonation frequency interval, if each text intonation is included in the preset high intonation frequency interval, it is deemed that there is a high intonation, that is, the smart tea table will execute step S311 to start the power-off operation of the smart tea table; generally, the received high-frequency intonation voice is for when the user is in danger or sees danger in the process of using the tea table, and the user cannot respond to the corresponding control command in time, and then issues a high-tone word, for example, the user issues high-tone words such as "ah, ah...", and the smart tea table can immediately stop executing certain functions after receiving such high-tone words; in addition, functional modules such as a smart lifting structure and a heating structure can be arranged in the smart tea table, and then when the smart tea table receives a high-tone frequency voice, it can stop the power-off of the heating structure in the smart tea table in time and control the smart lifting structure to stop the current operation or the power-off operation. At the same time, other structures arranged inside the tea table do not need to be powered off and can operate normally. Generally, there are high-pitched voices issued by users for help or stimulation reactions due to operation or equipment failure, and users are required to deal with them in a timely manner. Therefore, in this implementation, in such emergency and pressing situations, there is no need for voice wake-up, and the stop or power-off operation of the corresponding module of the smart coffee table is directly executed according to the received high-pitched frequency voice, thereby reducing the safety risks brought about by the continuous operation of some modules in the smart coffee table.

[0056] Further, if the intonation of each text does not have a high intonation, step S32 is executed to determine whether the repeated information of each text has high repeated information.

[0057] Specifically, in this embodiment, if the intonation of each text does not have a high intonation, then continue to obtain the interval time of repeated texts in each semantic text, and determine whether each interval time is included in the preset time threshold interval;

[0058] If each interval time is included in the preset time threshold range, step S321 is executed to control the function module corresponding to the repeated text with the shortest interval time to execute the corresponding instruction.

[0059] Specifically, when the intervals between multiple repeated texts received on the smart coffee table are all within a preset time threshold range, then, in order to improve the screening efficiency, the function module corresponding to the repeated text control with the shortest interval time is preferentially selected to execute the corresponding instructions. In addition, the repeated text with the highest frequency of occurrence can also be selected.

[0060] At the same time, a high-repetition speech recognition library is preset inside the smart coffee table. By matching each repeated text with the high-repetition speech recognition library in advance, the recognition rate and speed of important speech in emergency situations can be improved, avoiding the low matching efficiency caused by the need to use a traversal method to match all the words in the speech library, which in turn leads to low speech recognition efficiency, large delays and other problems. In this embodiment, by continuing to judge the text repetition information in the semantic features when there is no high tone in each semantic feature in the received voice information, that is, judging the text repetition in the voice text in the voice information, generally, in an emergency, the user repeats the same voice and urgently needs to execute a certain command, and then there is no need to perform voice wake-up, and the instruction corresponding to the voice information can be directly executed, so that the effect of helping users solve and get rid of the current predicament is achieved in this embodiment.

[0061] Furthermore, if each interval time is not included in the preset time threshold interval, step S33 is executed to determine whether there is a high speech rate in each text speech rate.

[0062] Specifically, in this embodiment, by obtaining the speech rate value of each text speech rate, and then determining whether the speech rate value of each text speech rate is included in the preset high speech rate range;

[0063] If the speech rate value of each text is included in the preset high speech rate range, step S331 is executed to control the function module corresponding to the semantic text with the shortest speech rate to execute the corresponding instruction;

[0064] Specifically, in this embodiment, when the user is not in danger or in urgent need of getting out of trouble, and some users urgently need to perform a certain function and increase their speaking speed, the smart coffee table will control the functional module corresponding to the semantic text with the shortest speaking speed to execute corresponding instructions based on the received high-speed voice, thereby quickly meeting user needs and enhancing the user experience.

[0065] If the speech rate value of each text is not included in the preset high speech rate range, step S34 is executed to execute corresponding instructions according to each semantic text.

[0066] In the above embodiment, the smart coffee table judges the semantic features of each semantic text in turn, including whether the text intonation, text repetition information, and text speaking speed are included in the corresponding preset database, and according to the priority order of the judgment, the voice information with a higher priority in the preset database is implemented to execute the corresponding instructions first, and there is no need for voice wake-up, thereby improving the intelligence of the smart coffee table, wherein the priority order is text intonation, text repetition information, text speaking speed and semantic text.

[0067] Furthermore, if Figure 4As shown, the step S34 includes:

[0068] Step S341, determining whether each semantic text is included in a preset special vocabulary library;

[0069] If each semantic text is included in the preset special vocabulary library, step S342 is executed to feed back the actual content of the corresponding semantic text to the mobile terminal connected to the smart coffee table.

[0070] In this embodiment, when the user is in some danger and cannot directly control the smart tea table through direct voice or does not have time to express completely with the corresponding voice, for such situations, the user can pre-set a special vocabulary library before installing the smart tea table, and the information in the special vocabulary library represents a special meaning. When the smart tea table receives relevant information, the actual meaning corresponding to the special voice information is fed back to the mobile terminal connected to the smart tea table, thereby achieving the purpose of efficient information feedback. Among them, the mobile terminal can be the user's mobile phone, computer or cloud server, thereby realizing the transmission and sharing of important information.

[0071] Furthermore, if Figure 5 As shown, the step S34 also includes:

[0072] Step S343, determining whether each semantic text is included in a preset authentication text library;

[0073] If the semantic texts are included in the preset authentication text library, the step S344 is executed to feedback an instruction to receive new voice information, and execute a corresponding instruction according to the semantic text of the newly received voice information.

[0074] In this embodiment, when the voice information sent by the user does not belong to the above-mentioned high-pitched, high-repetitive, and high-speed voice information, that is, when the user is not in danger, does not need to get out of trouble, and is not in a hurry, the user needs to perform user authentication in advance when controlling the smart tea table. When the semantic text in the voice information used to send is recognized as the content of the authentication text library, the user is informed that he has been authenticated and needs to re-send a new voice for control. Then, the smart tea table will execute the corresponding instructions according to the semantic text of the re-received voice information. In addition, during the use of the smart tea table, if the received voice contains the above-mentioned high-pitched, high-repetitive, and high-speed voice information, the instructions corresponding to the high-pitched, high-repetitive, and high-speed voice information in the received voice will still be executed first. This ensures the safety of users using the smart tea table.

[0075] In addition, an embodiment of the present invention further proposes a storage medium, on which a voice control program for a smart coffee table is stored. When the voice control program for a smart coffee table is executed by a processor, the steps of the voice control method for a smart coffee table as described in any one of the items are implemented.

[0076] The specific embodiments of the storage medium of the present invention are basically the same as the embodiments of the voice control method for the smart coffee table described above, and will not be described in detail here.

[0077] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0078] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a coffee table, a mobile terminal, etc.) to execute the methods described in each embodiment of the present invention.

[0080] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A voice control method for a smart tea table, applied to a smart tea table, characterized in that: The method comprises the following steps: Receive voice messages; Recognize the received voice information and convert it into corresponding semantic information, each semantic information includes semantic text and semantic features, each semantic feature includes text intonation and text repetition information; Determine the execution of the corresponding instructions according to the priority of each semantic feature and semantic text, Specifically, determining whether the intonation of each text has a high intonation; If there is a high tone in each text tone, the smart coffee table power-off operation is started; If the intonation of each text does not have a high intonation, then continue to determine whether the repeated information of each text has high repeated information, that is, obtain the interval time of the repeated text in each semantic text; Determine whether each time interval is included in a preset time threshold range; If each interval time is included in the preset time threshold range, the function module corresponding to the repeated text with the shortest interval time is controlled to execute the corresponding instruction.

2. The voice control method for a smart tea table according to claim 1, characterized in that: The step of judging whether the intonation of each text has a high intonation comprises: Get the intonation frequency of each text intonation; It is determined whether the intonation frequency of each text intonation is included in a preset high intonation frequency range.

3. The voice control method for a smart tea table according to claim 1, characterized in that: The semantic feature also includes the text speech rate. After the step of determining whether each time interval is included in the preset time threshold range, the method further includes: If each interval time is not included in the preset time threshold interval, then determine whether the speech speed of each text has a high speech speed.

4. The voice control method for a smart tea table according to claim 3, characterized in that: The step of determining whether the speech rate of each text is high includes: Get the speech rate value of each text; Determining whether the speech rate value of each text is included in a preset high speech rate range; If the speech rate values ​​of the speech rates of the texts are included in the preset high speech rate range, the function module corresponding to the semantic text with the shortest speech rate is controlled to execute the corresponding instruction; If not, the corresponding instructions are executed according to each semantic text.

5. The voice control method for a smart tea table according to claim 4, characterized in that: The step of executing the corresponding instruction according to each semantic text includes: Determine whether each semantic text exists in a preset authentication text library; If the semantic texts are included in the preset authentication text library, the feedback can receive the instruction of the new voice information, and execute the corresponding instruction according to the semantic text of the newly received voice information; Alternatively, determining whether each semantic text exists in a preset special vocabulary library; If each semantic text is included in the preset special vocabulary library, the actual content of the corresponding semantic text is fed back to the mobile terminal connected to the smart coffee table.

6. A smart coffee table, characterized in that: The invention comprises a memory, a processor and a voice control program for a smart tea table which is stored in the memory and can be run on the processor. When the voice control program for the smart tea table is executed by the processor, the steps of the voice control method for a smart tea table as described in any one of claims 1 to 5 are implemented.

7. A storage medium, characterized in that: The storage medium stores a voice control program for the smart tea table, and when the voice control program for the smart tea table is executed by the processor, the steps of the voice control method for the smart tea table as described in any one of claims 1 to 5 are implemented.

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