CN114822534A - Voice control method for intelligent tea table, intelligent tea table and storage medium - Google Patents

Voice control method for intelligent tea table, intelligent tea table and storage medium Download PDF

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Publication number
CN114822534A
CN114822534A CN202210408818.1A CN202210408818A CN114822534A CN 114822534 A CN114822534 A CN 114822534A CN 202210408818 A CN202210408818 A CN 202210408818A CN 114822534 A CN114822534 A CN 114822534A
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China
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text
tea table
semantic
intelligent tea
voice control
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CN202210408818.1A
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李江泳
陈永执
廖术超
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Hunan Jjw Electric Appliance Technology Co ltd
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Hunan Jjw Electric Appliance Technology Co ltd
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Priority to CN202210408818.1A priority Critical patent/CN114822534A/en
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Machine Translation (AREA)

Abstract

The invention discloses a voice control method for an intelligent tea table, which comprises the following steps: receiving voice information; recognizing the received voice information and converting the voice information into corresponding semantic information, wherein each semantic information comprises a semantic text and semantic features; and determining to execute the corresponding instruction according to the semantic features and the priority level of the semantic text. The invention also discloses an intelligent tea table and a storage medium. The invention aims to improve the intelligent control of the tea table.

Description

Voice control method for intelligent tea table, intelligent tea table and storage medium
Technical Field
The invention relates to the technical field of intelligent interaction, in particular to a voice control method for an intelligent tea table, the intelligent tea table and a computer readable storage medium.
Background
With the continuous development of the smart home industry, more and more devices realize intellectualization, especially speech intellectualization, the prior art includes speech control of household appliances such as household refrigerators, air conditioners, televisions and the like, and the users can realize the opening and closing of different devices without moving or touching a remote controller and a control panel; however, the existing control equipment can be used after user authentication is required, and further control is realized by means of other terminals, and particularly, the existing intelligent tea table can have other functions besides the storage function, for example, the tea table is lifted, and the tea table has certain potential safety hazard in the lifting process, so that when emergency situations of the tea table are handled in a short time, user authentication needs to be performed in advance, and complete intellectualization cannot be realized.
Prior art CN111150227A provides a tea table with intelligence house control function, connect the function through implanting AI pronunciation and IOT, compatible ubiquitous smart machine on the market, a control center is provided for family and the interconnection of everything in office, a new experience channel is provided for the user, this tea table not only can make tea, can also connect all intelligent electrical apparatus in the control family, give the tea table the ability that becomes future family control center, complete machine structure function module is more, the design is relatively complicated, satisfy the requirement of user to furniture intellectuality. Therefore, the tea table is mainly used as a transfer structure of a control end for controlling other electrical appliances, and the problem of faults of the tea table cannot be directly solved.
Disclosure of Invention
The invention mainly aims to provide a voice control method for an intelligent tea table, the intelligent tea table and a storage medium, and aims to solve the technical problem of how to improve the intelligent control of the tea table.
In order to achieve the purpose, the voice control method for the intelligent tea table is applied to the intelligent tea table, and comprises the following steps:
receiving voice information;
recognizing the received voice information and converting the voice information into corresponding semantic information, wherein each semantic information comprises a semantic text and semantic features;
and determining to execute the corresponding instruction according to the semantic features and the priority level of the semantic text.
Optionally, the semantic features include text intonation, and the step of determining and executing the corresponding instruction according to the priority levels of each semantic feature and the semantic text includes:
judging whether each text tone has a high tone;
and if the tone of each text has a high tone, starting the power-off operation of the intelligent tea table.
Optionally, the semantic features further include text repetition information, and after the step of determining whether each text tone has a high tone, the method further includes:
and if the tone of each text does not have a high tone, continuously judging whether the repeated information of each text has high repeated information.
Optionally, the step of determining whether each text tone has a high tone includes:
acquiring tone frequency of each text tone;
and determining whether the intonation frequency of each text intonation is included in a preset high-intonation frequency interval.
Optionally, the step of determining whether each text repetition information has high repetition information includes:
acquiring the interval time of repeated texts in each semantic text;
judging whether each interval time is included in a preset time threshold interval or not;
and if the interval time is included in the preset time threshold interval, controlling the functional module corresponding to the repeated text with the shortest interval time to execute a corresponding instruction.
Optionally, the semantic features further include a text speed, and after the step of determining whether each interval time is included in a preset time threshold interval, the method further includes:
and if the interval time is not included in the preset time threshold interval, judging whether the text speed has a high speed.
Optionally, the step of determining whether there is a high speech rate in each text speech rate includes:
obtaining a speech rate value of each text speech rate;
judging whether the speech rate value of each text speech rate is included in a preset high speech rate interval or not;
if the speech rate value of each text speech rate is included in a preset high speech rate interval, controlling a functional module corresponding to the semantic text with the shortest speech rate to execute a corresponding instruction;
if not, executing corresponding instructions according to the semantic texts.
Optionally, the step of executing the corresponding instruction according to each semantic text includes:
judging whether each semantic text is included in a preset authentication text base or not;
if all semantic texts are included in a preset authentication text base, feeding back an instruction capable of receiving new voice information, and executing a corresponding instruction according to the semantic text of the newly received voice information;
or judging whether each semantic text is included in a preset special vocabulary library or not;
and if the semantic texts are stored in a preset special vocabulary library, feeding back the actual contents of the corresponding semantic texts to a mobile terminal connected with the intelligent tea table.
In addition, in order to achieve the above object, the present invention further provides an intelligent tea table, which includes a memory, a processor, and a voice control program for the intelligent tea table, which is stored in the memory and can be executed on the processor, and when the voice control program for the intelligent tea table is executed by the processor, the steps of the voice control method for the intelligent tea table as described in any one of the above are implemented.
In addition, in order to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a voice control program for an intelligent tea table, and the voice control program for the intelligent tea table realizes the steps of any one of the voice control methods for the intelligent tea table when being executed by a processor.
The invention has the following beneficial effects: according to the method and the device, the voice information transmitted by the user or the mobile terminal is received, the corresponding received voice information is converted into the corresponding semantic information after being recognized, each semantic information comprises the semantic text and the semantic features, and the corresponding instruction is determined and executed according to the specific semantic features and the judged priority of the semantic text, wherein each semantic feature comprises the text tone, the text repeated information and the text speed, so that different purposes of controlling the tea table can be directly realized according to different features of the voice information, and the problem that the user cannot timely respond to the corresponding control instruction due to the fact that the tea table is subjected to safety hazards is avoided.
Drawings
FIG. 1 is a schematic view of a system structure of an embodiment of a system for controlling a tea table by voice according to the present invention;
FIG. 2 is a schematic flow chart illustrating an embodiment of a voice control method for an intelligent tea table according to the present invention;
FIG. 3 is a schematic flow diagram illustrating a refinement of the embodiment shown in FIG. 2;
FIG. 4 is a schematic diagram of a first detailed flow of step S34;
fig. 5 is a schematic diagram of a second detailed flow of step S34.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an intelligent tea table according to an embodiment of the present invention.
As shown in fig. 1, the intelligent tea 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. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 is used for receiving control instructions transmitted by a user, and the optional user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the intelligent tea table, and may include more or less components than those shown, or combine certain components, or arrange different components.
The specific embodiment of the intelligent tea table of the invention is basically the same as the following voice control method for the intelligent tea table, and the details are not repeated herein.
Referring to fig. 2, the present invention provides an embodiment of a voice control method for an intelligent tea table, the method includes the following steps:
step S10, receiving voice information;
specifically, the intelligent tea table receives the voice information transmitted within the preset range in the embodiment, and the sending end of the voice information can be a user or the voice information converted by the user through the mobile terminal.
Step S20, recognizing the received voice information and converting the voice information into corresponding semantic information, wherein each semantic information comprises a semantic text and semantic features;
and step S30, determining and executing corresponding instructions according to the priority levels of the voice features and the semantic texts.
Specifically, in this embodiment, the received voice information is converted into the semantic text and semantic features that are recognizable to the tea table, and each semantic feature includes information such as a text intonation, text repetition information, and a text speed, and then a corresponding instruction is executed according to the text intonation, text repetition information, text speed, and the determined priority level of the semantic text.
Further, as shown in fig. 3, the step S30 specifically includes:
step S31, judging whether each text tone has a high tone;
specifically, in this embodiment, by obtaining the intonation frequency of each text intonation, and determining whether the intonation frequency of each text intonation is included in the preset high-intonation frequency interval, if the intonation frequency of each text intonation is included in the preset high-intonation frequency interval, it is determined that a high intonation exists, that is, the intelligent tea table performs step S311, and starts the power-off operation of the intelligent tea table; generally, when a user receives or sees a danger during using the tea table, the received high-frequency intonation voice is sent out because a corresponding control instruction cannot be reflected in time, for example, the user sends out high-intonation words such as "a" and "a …", and the intelligent tea table can immediately stop executing certain functions after receiving the high-intonation words; in addition, can lay functional module such as intelligent elevation structure, heating structure in the intelligent tea table, and then when the pronunciation of high tone frequency were received at intelligent tea table, can in time stop the heating structure outage in the intelligent tea table and control intelligent elevation structure and stop current operation or outage operation, simultaneously, other structures to tea table inside laying then need not carry out the outage, but normal operating. Generally, there is high tone voice that the user sent out SOS or amazing reflection and sent because of operation or equipment trouble cause to need the timely processing of user, and then in this implementation, under such urgent and urgent circumstances, need not carry out the pronunciation and awaken up, and then realized directly carrying out the stopping or the outage operation of the corresponding module of intelligent tea table according to the pronunciation of the high tone frequency of receipt, and then reduced the safe risk that partial module continued operation brought in the intelligent tea table.
Further, if there is no high intonation in each text intonation, step S32 is executed to determine whether there is high-repetition information in each text repetition information.
Specifically, in this embodiment, if there is no high intonation in each text intonation, the interval time of the repeated text in each semantic text is continuously obtained, and whether each interval time is included in a preset time threshold interval is determined;
if the interval time is included in the preset time threshold interval, step S321 is executed to control the functional module corresponding to the repeated text with the shortest interval time to execute the corresponding instruction.
Specifically, for the situation that the interval time of receiving a plurality of repeated texts in the intelligent tea table is within a preset time threshold interval, in order to improve the screening efficiency, the function module corresponding to the repeated text with the shortest interval time is preferentially selected to control to execute a corresponding instruction, and in addition, the repeated text with the highest occurrence frequency of the repeated text can be selected.
Meanwhile, a high-repetition speech recognition library is preset in the intelligent tea table, and each repeated text is matched with the high-repetition speech recognition library in advance, so that the important speech recognition rate and the recognition speed at an emergency are improved, and the problems of low speech recognition efficiency, large delay and the like caused by low matching efficiency due to the fact that all vocabularies in the speech library need to be matched by a traversal method are solved. In this embodiment, under the condition that each semantic feature in the received voice information does not have a high intonation, the text repetition information in the semantic feature is further continuously determined, that is, the text repetition condition in the voice text in the voice information is determined, generally, in an emergency, a user repeatedly sends the same voice, and thus a certain command is urgently required to be executed, and further, the instruction corresponding to the voice information can be directly executed without voice wakeup, so that the effect of helping the user solve and get rid of the current predicament is achieved in this embodiment.
Further, if the interval time is not included in the preset time threshold interval, step S33 is executed to determine whether there is a high speech rate for each text speech rate.
Specifically, in this embodiment, the speech rate value of each text speech rate is obtained; further judging whether the speech rate value of each text speech rate is included in a preset high speech rate interval;
if the speech rate value of each text speech rate is included in the preset high speech rate interval, executing step S331, and controlling the functional module corresponding to the semantic text with the shortest speech rate to execute the corresponding instruction;
specifically, in this embodiment, when the user is not in danger or needs to get rid of the dilemma urgently, and when some users need to execute a certain function urgently to improve the speed of speech, the intelligent tea table will control the functional module corresponding to the semantic text with the shortest speed of speech to execute a corresponding instruction according to the received speech with the high speed of speech, thereby realizing fast satisfaction of the user's needs and enhancing the user experience.
If the speech rate value of each text speech rate is not included in the preset high speech rate interval, step S34 is executed to execute the corresponding command according to each semantic text.
In the above embodiment, the intelligent tea table sequentially judges whether the semantic features of each semantic text include that the text intonation, the text repeated information and the text speed are included in the corresponding preset database, and according to the judged priority order, the voice information with the front priority in the preset database is preferentially instructed, and voice awakening is not required, so that the intellectualization of the intelligent tea table is improved, wherein the priority order is the text intonation, the text repeated information, the text speed and the semantic text in sequence.
Further, as shown in fig. 4, the step S34 includes:
step S341, determining whether each semantic text is included in a preset special vocabulary library;
if the semantic texts are stored in the preset special vocabulary library, step S342 is executed to feed back the actual contents of the corresponding semantic texts to the mobile terminal connected to the intelligent tea table.
In this embodiment, when the user is partially dangerous and cannot directly control the intelligent tea table through the straight-white voice or cannot express the intelligent tea table completely with the corresponding voice, the user can preset the special vocabulary library before the intelligent tea table is installed, and the information in the special vocabulary library represents a special meaning. The mobile terminal can be a mobile phone, a computer or a cloud server of a user, and therefore transmission and sharing of important information are achieved.
Further, as shown in fig. 5, the step S34 further includes:
step S343, judge whether every semantic text is included in the authentication text base preserved;
if the semantic texts are included in the preset authentication text base, step S344 is executed to feed back an instruction capable of receiving new voice information and execute a corresponding instruction according to the semantic text of the newly received voice information.
In this embodiment, when the voice information sent by the user does not belong to the high pitch, the high repetition and the high speech rate, that is, when the user is not in danger, does not urgently need to get rid of the dilemma and is not eager, the user needs to perform user authentication in advance when performing the intelligent tea table control, and then when recognizing that the semantic text in the voice information sent by the user belongs to the content of the authentication text library, at this time, the user is informed that the semantic text is authenticated, and new voice needs to be sent again for control, and then the intelligent tea table executes a corresponding instruction according to the semantic text of the voice information received again. In addition, when the received voice has the voice information with high tone, high repetition and high speed in the using process of the intelligent tea table, the instruction corresponding to the voice information with high tone, high repetition and high speed stored in the received voice is preferentially executed. And then the safety of the user using the intelligent tea table is guaranteed.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a voice control program for an intelligent tea table, and the voice control program for the intelligent tea table realizes the steps of any one of the voice control methods for the intelligent tea table when being executed by a processor.
The specific embodiment of the storage medium of the present invention is basically the same as the above-mentioned embodiments of the voice control method for an intelligent tea table, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a tea table, a mobile terminal, etc.) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A voice control method for an intelligent tea table is applied to the intelligent tea table and is characterized by comprising the following steps:
receiving voice information;
recognizing the received voice information and converting the voice information into corresponding semantic information, wherein each semantic information comprises a semantic text and semantic features;
and determining to execute the corresponding instruction according to the semantic features and the priority level of the semantic text.
2. The voice control method for the intelligent tea table according to claim 1, wherein the semantic features comprise text tones, and the step of determining to execute the corresponding instructions according to the semantic features and the priority levels of the semantic texts comprises:
judging whether each text tone has a high tone;
and if the tone of each text has a high tone, starting the power-off operation of the intelligent tea table.
3. The voice control method for the intelligent tea table according to claim 2, wherein the semantic features further comprise text repetition information, and after the step of judging whether each text tone has a high tone, the method further comprises:
and if the tone of each text does not have a high tone, continuously judging whether the repeated information of each text has high repeated information.
4. The voice control method for the intelligent tea table according to claim 2, wherein the step of judging whether each text tone has a high tone comprises the following steps:
acquiring tone frequency of each text tone;
and determining whether the intonation frequency of each text intonation is included in a preset high-intonation frequency interval.
5. The voice control method for the intelligent tea table according to claim 3, wherein the step of judging whether the text repeated information has high repeated information comprises the following steps:
acquiring the interval time of repeated texts in each semantic text;
judging whether each interval time is included in a preset time threshold interval or not;
and if the interval time is included in the preset time threshold interval, controlling the functional module corresponding to the repeated text with the shortest interval time to execute a corresponding instruction.
6. The voice control method for the intelligent tea table according to claim 5, wherein the semantic features further include a text speech rate, and after the step of determining whether the interval time is included in a preset time threshold interval, the method further comprises:
and if the interval time is not included in the preset time threshold interval, judging whether the text speed has a high speed.
7. The voice control method for the intelligent tea table according to claim 6, wherein the step of judging whether the speech rate of each text is high comprises the following steps:
obtaining a speech rate value of each text speech rate;
judging whether the speech rate value of each text speech rate is included in a preset high speech rate interval or not;
if the speech rate value of each text speech rate is included in a preset high speech rate interval, controlling a functional module corresponding to the semantic text with the shortest speech rate to execute a corresponding instruction;
if not, executing corresponding instructions according to the semantic texts.
8. The voice control method for the intelligent tea table according to claim 7, wherein the step of executing the corresponding instruction according to each semantic text comprises:
judging whether each semantic text is included in a preset authentication text base or not;
if all semantic texts are included in a preset authentication text base, feeding back an instruction capable of receiving new voice information, and executing a corresponding instruction according to the semantic text of the newly received voice information;
or judging whether each semantic text is included in a preset special vocabulary library or not;
and if the semantic texts are stored in a preset special vocabulary library, feeding back the actual contents of the corresponding semantic texts to a mobile terminal connected with the intelligent tea table.
9. An intelligent tea table, comprising a memory, a processor and a voice control program for the intelligent tea table stored on the memory and capable of running on the processor, wherein the voice control program for the intelligent tea table realizes the steps of the voice control method for the intelligent tea table according to any one of claims 1 to 8 when being executed by the processor.
10. A storage medium, wherein the storage medium stores thereon a voice control program for an intelligent tea table, and the voice control program for the intelligent tea table is executed by a processor to implement the steps of the voice control method for the intelligent tea table according to any one of claims 1 to 8.
CN202210408818.1A 2022-04-19 2022-04-19 Voice control method for intelligent tea table, intelligent tea table and storage medium Pending CN114822534A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117706955A (en) * 2024-02-06 2024-03-15 湖南省嘉嘉旺电器科技股份有限公司 Household appliance control method and device, intelligent tea table and multifunctional electric heating table

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117706955A (en) * 2024-02-06 2024-03-15 湖南省嘉嘉旺电器科技股份有限公司 Household appliance control method and device, intelligent tea table and multifunctional electric heating table

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