CN112581952A - Intelligent equipment control method combining online voice with offline voice - Google Patents
Intelligent equipment control method combining online voice with offline voice Download PDFInfo
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- CN112581952A CN112581952A CN202011237553.0A CN202011237553A CN112581952A CN 112581952 A CN112581952 A CN 112581952A CN 202011237553 A CN202011237553 A CN 202011237553A CN 112581952 A CN112581952 A CN 112581952A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The invention relates to the technical field of intelligent household equipment control, and particularly discloses an intelligent equipment control method combining online voice and offline voice, which comprises the following steps: s1: establishing data connection, and setting a command identification database according to actual conditions; s2: the voice recognition unit receives the voice information and transmits the voice information to the processing end through the signal communication unit; s3: the processing terminal identifies the received voice information through the voice identification module, converts the identification into a signal and sends the signal to the processing unit; s4: after receiving the information, the processing unit extracts the request key words and matches and compares the request key words with the command identification database; s5: according to the comparison result of the step S4, the request keyword is sent to an online processing unit or an offline processing unit, and the online processing unit or the offline processing unit feeds back a control instruction according to the instruction; the method provided by the invention can automatically distribute the offline or online processing module according to the instruction content to carry out corresponding control.
Description
Technical Field
The invention relates to the technical field of intelligent household equipment control, in particular to an intelligent equipment control method combining online voice with offline voice.
Background
With the continuous development and progress of computer technology and voice recognition technology, voice recognition is widely applied in daily homes; the intelligent household appliances circulating on the market are mostly provided with a voice control function, and a user can control household appliance equipment through voice, such as turning on a television, adjusting the temperature of an air conditioner and the like.
Most of the existing offline and online control modes of voice recognition are independent devices, and if the user wants to experience the voice recognition, the user needs to use the voice recognition independently, so that a great deal of inconvenience exists in specific application, and the user experience is influenced.
Disclosure of Invention
The invention aims to provide an intelligent device control method combining online voice and offline voice to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent device control method combining online voice and offline voice comprises the following steps:
s1: establishing data connection, and setting a command identification database according to actual conditions;
s2: the voice recognition unit receives the voice information and transmits the voice information to the processing end through the signal communication unit;
s3: the processing terminal identifies the received voice information through the voice identification module, converts the identification into a signal and sends the signal to the processing unit;
s4: after receiving the information, the processing unit extracts the request key words and matches and compares the request key words with the command identification database;
s5: and according to the comparison result of the step S4, sending the request keyword to an online processing unit or an offline processing unit, and feeding back the control instruction by the online processing unit or the offline processing unit according to the instruction.
Preferably, in step S1, the established data connection includes a connection between the processing unit and the network, a connection between the processing unit and the smart device, and a connection between the processing unit and the voice recognition unit.
Preferably, in step S1, the command recognition database includes an online command recognition database and an offline command recognition database, and the online command keyword and the offline command keyword are respectively stored in the two recognition databases according to actual situations.
Preferably, the voice recognition unit performs noise reduction processing after receiving the voice information, and the signal communication unit transmits the information in any one of bluetooth, ZigBee and WiFi.
Preferably, in step S3, the voice recognition module converts the received voice message into a text message, and transmits the text message to the processing unit in a signal manner.
Preferably, in step S4, the comparison result between the extracted keyword and the command recognition database is:
when the key word is in the online command recognition database and not in the offline command recognition database, the instruction is sent to the online processing unit;
when the key word is in the off-line command recognition database and not in the on-line command recognition database, the instruction is sent to the off-line processing unit;
when the key words are simultaneously in the online command identification database and the offline command identification database, the instruction is split and respectively sent to the online processing unit and the offline processing unit;
and when the key words are not in the online command recognition database or the offline command recognition database, feeding back a command with an error instruction.
Preferably, in step S5, when the instruction is sent to the online processing unit, the online processing unit connects to the network, acquires the reply content of the request keyword, and takes the reply content as a feedback instruction.
Preferably, in step S5, when the instruction is sent to the offline processing unit, the offline processing unit directly controls the device according to the instruction.
Compared with the prior art, the invention has the beneficial effects that: the method provided by the invention can automatically distribute the offline or online processing module according to the instruction content to perform corresponding control, has accurate and convenient control mode, effectively improves the control efficiency of the equipment, improves the user experience, and is suitable for large-scale popularization and use.
Drawings
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an intelligent device control method combining online voice and offline voice comprises the following steps:
s1: establishing data connection, and setting a command identification database according to actual conditions;
s2: the voice recognition unit receives the voice information and transmits the voice information to the processing end through the signal communication unit;
s3: the processing terminal identifies the received voice information through the voice identification module, converts the identification into a signal and sends the signal to the processing unit;
s4: after receiving the information, the processing unit extracts the request key words and matches and compares the request key words with the command identification database;
s5: and according to the comparison result of the step S4, sending the request keyword to an online processing unit or an offline processing unit, and feeding back the control instruction by the online processing unit or the offline processing unit according to the instruction.
Further, in step S1, the established data connection includes a connection between the processing unit and the network, a connection between the processing unit and the smart device, and a connection between the processing unit and the voice recognition unit.
Further, in step S1, the command recognition database includes an online command recognition database and an offline command recognition database, and the online command keyword and the offline command keyword are respectively stored in the two recognition databases according to actual situations.
Furthermore, the voice recognition unit performs noise reduction processing after receiving the voice information, and the signal communication unit transmits the information in any one of a bluetooth mode, a ZigBee mode and a WiFi mode.
Further, in step S3, the voice recognition module converts the received voice message into a text message, and transmits the text message to the processing unit in a signal manner.
Further, in step S4, the comparison result between the extracted keyword and the command recognition database is:
when the key word is in the online command recognition database and not in the offline command recognition database, the instruction is sent to the online processing unit;
when the key word is in the off-line command recognition database and not in the on-line command recognition database, the instruction is sent to the off-line processing unit;
when the key words are simultaneously in the online command identification database and the offline command identification database, the instruction is split and respectively sent to the online processing unit and the offline processing unit;
and when the key words are not in the online command recognition database or the offline command recognition database, feeding back a command with an error instruction.
Further, in step S5, when the instruction is sent to the online processing unit, the online processing unit connects to the network, acquires the reply content of the request keyword, and takes the reply content as a feedback instruction.
Further, in step S5, when the instruction is sent to the offline processing unit, the offline processing unit directly controls the device according to the instruction.
The working principle is as follows: in step S1, establishing connection between the processing unit and the network, the intelligent device, and the voice recognition unit, and simultaneously entering a corresponding control command in the command recognition database, and entering a corresponding keyword according to different devices in specific situations; for example, the on-line command recognition database is used for inputting instructions for inquiring weather, road conditions, news and the like, and the off-line command recognition database is used for inputting instructions for turning on a television, turning on an air conditioner, adjusting the temperature of a refrigerator and the like. In step S2, the speech recognition unit receives the speech information, performs noise reduction processing, and transmits the speech information to the processing terminal. The processing end recognizes the received voice information through the voice recognition module, converts the received voice information into text information, and transmits the text information to the processing unit in a signal manner in step S3.
The processing end firstly extracts the keywords of the command from the signal data in step S4, and compares the keywords with the command recognition database set in step S1; setting four instruction sending modes according to the comparison result, wherein the four instruction sending modes are respectively as follows:
when the key word is in the online command recognition database and not in the offline command recognition database, the instruction is sent to the online processing unit;
when the key word is in the off-line command recognition database and not in the on-line command recognition database, the instruction is sent to the off-line processing unit;
when the key words are simultaneously in the online command identification database and the offline command identification database, the instruction is split and respectively sent to the online processing unit and the offline processing unit;
and when the key words are not in the online command recognition database or the offline command recognition database, feeding back a command with an error instruction.
The four modes completely cover all instruction conditions, and in step S5, the instructions are sent to different processing units to take different control measures; when the instruction is sent to the online processing unit, the online processing unit is connected with the network, acquires the reply content of the request keyword, and takes the reply content as a feedback instruction; when the instruction is sent to the offline processing unit, the offline processing unit directly controls the equipment according to the instruction.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An intelligent device control method combining online voice and offline voice is characterized in that: the method comprises the following steps:
s1: establishing data connection, and setting a command identification database according to actual conditions;
s2: the voice recognition unit receives the voice information and transmits the voice information to the processing end through the signal communication unit;
s3: the processing terminal identifies the received voice information through the voice identification module, converts the identification into a signal and sends the signal to the processing unit;
s4: after receiving the information, the processing unit extracts the request key words and matches and compares the request key words with the command identification database;
s5: and according to the comparison result of the step S4, sending the request keyword to an online processing unit or an offline processing unit, and feeding back the control instruction by the online processing unit or the offline processing unit according to the instruction.
2. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S1, the established data connection includes a connection between the processing unit and the network, a connection between the processing unit and the smart device, and a connection between the processing unit and the voice recognition unit.
3. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S1, the command recognition database includes an online command recognition database and an offline command recognition database, and the online command keyword and the offline command keyword are stored in the two recognition databases according to actual situations.
4. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: the voice recognition unit carries out noise reduction processing after receiving voice information, and the signal communication unit transmits information in any one of a Bluetooth mode, a ZigBee mode and a WiFi mode.
5. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S3, the speech recognition module converts the received speech information into text information, and transmits the text information to the processing unit in a signal manner.
6. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S4, the comparison result between the extracted keyword and the command recognition database is:
when the key word is in the online command recognition database and not in the offline command recognition database, the instruction is sent to the online processing unit;
when the key word is in the off-line command recognition database and not in the on-line command recognition database, the instruction is sent to the off-line processing unit;
when the key words are simultaneously in the online command identification database and the offline command identification database, the instruction is split and respectively sent to the online processing unit and the offline processing unit;
and when the key words are not in the online command recognition database or the offline command recognition database, feeding back a command with an error instruction.
7. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S5, when the instruction is sent to the online processing unit, the online processing unit connects to the network, acquires the reply content of the request keyword, and takes the reply content as a feedback instruction.
8. The intelligent device control method combining online and offline voice according to claim 1, characterized in that: in step S5, when the instruction is sent to the offline processing unit, the offline processing unit directly controls the device according to the instruction.
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CN111312234A (en) * | 2018-12-11 | 2020-06-19 | 青岛海尔洗衣机有限公司 | Voice control method, cloud processor and terminal equipment |
CN111817936A (en) * | 2020-08-12 | 2020-10-23 | 深圳市欧瑞博科技股份有限公司 | Control method and device of intelligent household equipment, electronic equipment and storage medium |
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2020
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CN106328143A (en) * | 2015-06-23 | 2017-01-11 | 中兴通讯股份有限公司 | Voice control method and device and mobile terminal |
US20200175980A1 (en) * | 2017-01-20 | 2020-06-04 | Huawei Technologies Co., Ltd. | Method and Terminal for Implementing Speech Control |
CN108447480A (en) * | 2018-02-26 | 2018-08-24 | 深圳市晟瑞科技有限公司 | Method, intelligent sound terminal and the network equipment of smart home device control |
CN111312234A (en) * | 2018-12-11 | 2020-06-19 | 青岛海尔洗衣机有限公司 | Voice control method, cloud processor and terminal equipment |
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