CN110427468A - A kind of learning method and learning machine based on children's cloud service - Google Patents
A kind of learning method and learning machine based on children's cloud service Download PDFInfo
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- CN110427468A CN110427468A CN201910621931.6A CN201910621931A CN110427468A CN 110427468 A CN110427468 A CN 110427468A CN 201910621931 A CN201910621931 A CN 201910621931A CN 110427468 A CN110427468 A CN 110427468A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000004891 communication Methods 0.000 claims description 6
- 210000001747 pupil Anatomy 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
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Abstract
The present invention relates to the learning method based on children's cloud service, implementation method is as follows: age bracket where learning machine identifies age of user or the age bracket for receiving user's selection make age segment identification；Learning machine receives user and puts question to voice messaging, and converts text information for the voice messaging, is sent to Cloud Server after adding age segment identification in text information；The problem of age-based section of learning machine reception Cloud Server is searched corresponds to answer text information, and is converted into the identifiable information of user and exports；After the age bracket of the enquirement of user and user is bundled, the intelligent answer retrieval of problem is carried out according to age bracket, the answer of suitable age bracket is found, greatly improves learning machine to the adaptability of different age group crowd.
Description
Technical field
The present invention relates to learning machine technical fields, more specifically to a kind of learning method based on children's cloud service
And learning machine.
Background technique
Learning machine is a kind of more intelligentized study ancillary equipment, parse and in inside by customer problem
Database scan for accordingly answering, to reach assisted learning effect；
Currently, the crowd that learning machine is mostly only applicable in a certain age bracket uses, such as only for pupil or middle school student,
Since the general understanding ability of different age group crowd is different, as middle school student and pupil often have different answer to same problem
Case, the answer for being suitable for pupil on learning machine is often too simple and inmature in middle school student, otherwise middle school student answer
Case often relative complex indigestion for pupil, it is difficult to which realization adapts to multiple age bracket crowds.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, providing a kind of based on children's cloud
The learning method of service；
Additionally provide a kind of learning machine.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of learning method based on children's cloud service is constructed, its implementation is as follows:
Step 1: age bracket where learning machine identification age of user or the age bracket of reception user's selection, make age bracket
Mark；
Step 2: the learning machine, which receives user, puts question to voice messaging, and text information is converted by the voice messaging, it will
Cloud Server is sent to after adding the age segment identification in text information；
Step 3: the learning machine, which receives the problem of age-based section of the Cloud Server is searched, corresponds to answer text information,
And it is converted into the identifiable information of user and exports.
Learning method of the present invention based on children's cloud service, wherein in the third step, the Cloud Server pair
Different age group establishes different answer databases, first finds corresponding answer using age bracket as mark before carrying out answer search
Database.
Learning method of the present invention based on children's cloud service, wherein the Cloud Server is to text information foundation
Similarity identification and Keywords matching judge the semanteme to go wrong, and answer retrieval is carried out in the answer database.
Learning method of the present invention based on children's cloud service, wherein in the first step, the learning machine to
Sound, face or the iris at family carry out identification and judge age of user section.
Learning method of the present invention based on children's cloud service, wherein in the first step, set on the learning machine
It is equipped with age bracket input key, the input information received according to age bracket input key determines age of user section.
Learning method of the present invention based on children's cloud service, wherein in the third step, the learning machine passes through
Display screen is shown and/or voice broadcast mode exports answer to user.
A kind of learning machine, according to the above-mentioned learning method based on children's cloud service, which is characterized in that identified including the age
Management module, speech to text module, communication module and output module；
The age identifies management module, for identification the age of age bracket where age of user or reception user's selection
Section makes age segment identification；
The speech to text module, for puing question to voice messaging to be converted into text information the user received, and will
The age segment identification is added in text information；
The communication module, for being communicated with Cloud Server；
The output module, the answer text information for feeding back Cloud Server be converted into the identifiable information of user into
Row output.
Learning machine of the present invention, wherein the Cloud Server establishes different answer databases to different age group,
Corresponding answer database first is found using age bracket as mark before carrying out answer search, to text information according to similarity identification
And Keywords matching, judge the semanteme to go wrong, answer retrieval is carried out in the answer database.
Learning machine of the present invention, wherein age identification management module to the sound, face or iris of user into
Row identification judges age of user section.
Learning machine of the present invention, wherein age bracket input key is provided in the age identification management module, according to
Age of user section is determined according to the input information that age bracket input key receives.
The beneficial effects of the present invention are: after the age bracket of the enquirement of user and user is bundled, according to age bracket
The intelligent answer of carry out problem is retrieved, and is found the answer of suitable age bracket, is greatly improved learning machine to different age group crowd's
Adaptability.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below in conjunction with attached drawing and reality
Applying example, the invention will be further described, and the accompanying drawings in the following description is only section Example of the invention, for this field
For those of ordinary skill, without creative efforts, it can also be obtained according to these attached drawings other accompanying drawings:
Fig. 1 is the learning method flow chart based on children's cloud service of present pre-ferred embodiments；
Fig. 2 is the learning machine functional block diagram of present pre-ferred embodiments.
Specific embodiment
In order to keep the purposes, technical schemes and advantages of the embodiment of the present invention clearer, implement below in conjunction with the present invention
Technical solution in example carries out clear, complete description, it is clear that and described embodiment is section Example of the invention, and
It is not all of embodiment.Based on the embodiment of the present invention, those of ordinary skill in the art are not before making the creative labor
Every other embodiment obtained is put, protection scope of the present invention is belonged to.
The learning method based on children's cloud service of present pre-ferred embodiments, as shown in Figure 1, implementation method is as follows:
S01: age bracket where learning machine identifies age of user or the age bracket for receiving user's selection make age segment mark
Know；
S02: learning machine receives user and puts question to voice messaging, and converts text information for the voice messaging, by the text
Cloud Server is sent to after adding age segment identification in information；
S03: the problem of age-based section of learning machine reception Cloud Server is searched corresponds to answer text information, and is converted into user
Identifiable information is exported；
After the age bracket of the enquirement of user and user is bundled, the intelligent answer inspection of problem is carried out according to age bracket
Rope finds the answer of suitable age bracket, greatly improves learning machine to the adaptability of different age group crowd.
Optionally, age bracket with primary school, middle school, university, just enter social normal adult, -40 years old 30 years old, -50 years old 40 years old, 50
Year old or more segmentation divided.
Preferably, in third step, Cloud Server establishes different answer databases to different age group, carries out answer search
Preceding elder generation finds corresponding answer database using age bracket as mark；Convenient for establishing intelligent search answer library.
Preferably, Cloud Server judges the semanteme to go wrong to text information according to similarity identification and Keywords matching,
Answer retrieval is carried out in answer database；Artificial intelligence identification is carried out, the accuracy rate of response speed and automated answering question can be improved.
Preferably, in the first step, learning machine carries out identification to the sound, face or iris of user and judges age of user section；
Improve intelligence degree.
Preferably, it is provided with age bracket input key in the first step, on learning machine, is received according to age bracket input key
Input information determine age of user section；Setting is simple, at low cost.
Preferably, in third step, learning machine is shown by display screen and/or voice broadcast mode exports answer to use
Family.
A kind of learning machine, according to the above-mentioned learning method based on children's cloud service, as shown in Fig. 2, including identifying at the age
Management module 10, speech to text module 11, communication module 12 and output module 13；
Age identifies management module 10, for identification age bracket where age of user or the age bracket of reception user's selection,
Make age segment identification；
Speech to text module 11, for puing question to voice messaging to be converted into text information the user received, and should
Age segment identification is added on text information；
Communication module 12, for being communicated with Cloud Server 2；
Output module 13, the answer text information for feeding back Cloud Server 2 be converted into the identifiable information of user into
Row output；
After the age bracket of the enquirement of user and user is bundled, the intelligent answer inspection of problem is carried out according to age bracket
Rope finds the answer of suitable age bracket, greatly improves learning machine 1 to the adaptability of different age group crowd.
Preferably, Cloud Server 2 establishes different answer databases to different age group, and it is preceding first with year to carry out answer search
Age section finds corresponding answer database 20 as mark, to text information according to similarity identification and Keywords matching, judgement
The semanteme to go wrong carries out answer retrieval in answer database 20；Convenient for establishing intelligent search answer library, artificial intelligence is carried out
Identification, can improve the accuracy rate of response speed and automated answering question.
Preferably, age identification management module 10, which identify to the sound, face or iris of user, judges age of user
Section；Improve intelligence degree.
Preferably, age bracket input key is provided in age identification management module 10, according to age bracket input by bonded
The input information received determines age of user section；Setting is simple, at low cost.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of learning method based on children's cloud service, which is characterized in that implementation method is as follows:
Step 1: age bracket where learning machine identification age of user or the age bracket of reception user's selection, make age segment identification；
Step 2: the learning machine, which receives user, puts question to voice messaging, and text information is converted by the voice messaging, by this article
Cloud Server is sent to after adding the age segment identification in this information；
Step 3: the learning machine, which receives the problem of age-based section of the Cloud Server is searched, corresponds to answer text information, and turn
The identifiable information of user is turned to export.
2. the learning method according to claim 1 based on children's cloud service, which is characterized in that in the third step, institute
It states Cloud Server and establishes different answer databases to different age group, first looked for using age bracket as mark before carrying out answer search
To corresponding answer database.
3. the learning method according to claim 2 based on children's cloud service, which is characterized in that the Cloud Server is to text
This information judges the semanteme to go wrong, carries out answer in the answer database according to similarity identification and Keywords matching
Retrieval.
4. the learning method according to claim 1 based on children's cloud service, which is characterized in that in the first step, institute
It states learning machine and the sound, face or iris of user identify and judge age of user section.
5. the learning method according to claim 1 based on children's cloud service, which is characterized in that in the first step, institute
It states and is provided with age bracket input key on learning machine, the input information received according to age bracket input key determines user
Age bracket.
6. the learning method according to claim 1 based on children's cloud service, which is characterized in that in the third step, institute
State that learning machine is shown by display screen and/or voice broadcast mode exports answer to user.
7. a kind of learning machine, -6 any learning method based on children's cloud service, feature exist according to claim 1
In, including age identification management module, speech to text module, communication module and output module；
The age identifies management module, for identification age bracket where age of user or the age bracket of reception user's selection, system
Make age segment identification；
The speech to text module, for puing question to voice messaging to be converted into text information the user received, and by this article
The age segment identification is added in this information；
The communication module, for being communicated with Cloud Server；
The output module, it is defeated that the answer text information for feeding back Cloud Server is converted into the identifiable information progress of user
Out.
8. learning machine according to claim 7, which is characterized in that the Cloud Server establishes different age group different
Answer database, carry out answer search before first using age bracket as identify finds corresponding answer database, to text information according to
According to similarity identification and Keywords matching, the semanteme to go wrong is judged, answer retrieval is carried out in the answer database.
9. learning machine according to claim 7, which is characterized in that age identification management module to the sound of user,
Face or iris carry out identification and judge age of user section.
10. learning machine according to claim 7, which is characterized in that has age is arranged in the age identification management module
Section input key, the input information received according to age bracket input key determine age of user section.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110808052A (en) * | 2019-11-12 | 2020-02-18 | 深圳市瑞讯云技术有限公司 | Voice recognition method and device and electronic equipment |
| CN111701251A (en) * | 2020-07-27 | 2020-09-25 | 王智伟 | Intelligent pet toy system |
| CN112417129A (en) * | 2021-01-22 | 2021-02-26 | 北京新广视通科技有限公司 | Intelligent quick response method and equipment with AI learning function |
| CN112669180A (en) * | 2020-12-28 | 2021-04-16 | 盐城师范学院 | Preschool education method and system based on image recognition |
| CN114202974A (en) * | 2021-12-22 | 2022-03-18 | 海南诚明文化有限公司 | Online English learning system |
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