CN111312220A - Learning method based on dialogue exchange of learning machine - Google Patents
Learning method based on dialogue exchange of learning machine Download PDFInfo
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- CN111312220A CN111312220A CN201911214278.8A CN201911214278A CN111312220A CN 111312220 A CN111312220 A CN 111312220A CN 201911214278 A CN201911214278 A CN 201911214278A CN 111312220 A CN111312220 A CN 111312220A
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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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
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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
- G09B5/04—Electrically-operated educational appliances with audible presentation of the material to be studied
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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
- G10L15/24—Speech recognition using non-acoustical features
-
- 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
- G10L2015/225—Feedback of the input speech
Abstract
The invention discloses a learning method based on dialogue exchange of a learning machine, which is implemented by the following steps: step 1, collecting a target command; step 2, converting the target command acquired in the step 1 into a corresponding text; step 3, storing the corresponding text obtained in the step 2 and matching the corresponding text with the existing dialogue model library; and 4, outputting and playing the matched dialogue model obtained in the step 3. The invention records the voice of the child to be matched with the existing dialogue model library, converts the dialogue in the dialogue model library into the voice to be output, thereby forming the learning atmosphere of man-machine interaction.
Description
Technical Field
The invention belongs to the field of intelligent learning, and particularly relates to a learning method based on dialogue exchange of a learning machine.
Background
Along with the development of science and technology, the intelligent era is in close contact with the lives of people more and more, people pay more and more attention to education of children, the existing intelligent learning machine based on children learning usually stores a large amount of established knowledge to the second level, then the children select proper contents to play according to the requirements, the learning is too rigid, the children cannot remember easily, and good teaching can not be provided for the children learning well, particularly for the children aged 3-8, the interest and the ability of the children learning, and the learning of voice are very important, particularly for the learning of English, the spoken language is lack of training, and parents generally have no ability, so that an intelligent learning machine based on a learning method of conversation communication is urgently needed.
Disclosure of Invention
The invention aims to provide a learning method based on dialogue exchange of a learning machine, which solves the defect that the learning machine in the prior art cannot realize man-machine interaction.
The invention adopts the technical scheme that a learning method based on dialogue communication of a learning machine is implemented by the following steps:
step 1, collecting a target command;
step 2, converting the target command acquired in the step 1 into a corresponding text;
step 3, storing the corresponding text obtained in the step 2 and matching the corresponding text with the existing dialogue model library;
and 4, outputting and playing the matched dialogue model obtained in the step 3.
The technical solution adopted by the invention is also characterized in that,
and (5) repeating the steps 1-4, and storing and training the conversation to obtain an existing conversation model library.
In the step 1, the target command is voice, and the voice is Chinese or English.
And the target command acquires the voice through a recorder or a camera.
The speech is processed by image recognition or a waveform diagram of the speech and then matched with an existing dialogue model library.
The corresponding text in the step 2 is a word sentence or a voice conversation.
And 3, matching by extracting keywords during matching.
The invention has the advantages that the voice of the child is recorded and matched with the existing dialogue model library, and the dialogue in the dialogue model library is converted into the voice to be output, so that the man-machine interaction learning atmosphere is formed.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
The invention relates to a learning method based on dialogue exchange of a learning machine, which is implemented by the following steps:
step 1, collecting a target command;
step 2, converting the target command acquired in the step 1 into a corresponding text;
step 3, storing the corresponding text obtained in the step 2 and matching the corresponding text with the existing dialogue model library;
and 4, outputting and playing the matched dialogue model obtained in the step 3.
In the step 1, the target command is voice, and the voice is collected by the target command through a recorder or a camera. The speech is Chinese or English.
The speech is processed by image recognition or a waveform diagram of the speech and then matched with an existing dialogue model library.
The corresponding text in the step 2 is a word sentence or a voice conversation.
And 3, matching by extracting keywords during matching.
The working principle of the invention is as follows: the method comprises the steps of collecting voice of a user by adopting a recorder or a camera, or collecting characters input by the user on a learning machine as a target command, storing and analyzing the target command, converting the target command into a corresponding computer text, matching the computer text with an existing dialogue model library, and playing the obtained matched dialogue to form man-machine interactive dialogue learning, wherein the existing dialogue model library can be a pre-recorded textbook, hundred-degree resources or other published dialogue texts.
In addition, the steps 1-4 can be repeated, the conversation is stored, keywords in the whole conversation are extracted to serve as characteristic values, and the extracted characteristic values are trained by a Support Vector Machine (SVM) classifier, so that a heart existing conversation model library is obtained.
Claims (7)
1. A learning method based on dialogue exchange of a learning machine is characterized by comprising the following steps:
step 1, collecting a target command;
step 2, converting the target command acquired in the step 1 into a corresponding text;
step 3, storing the corresponding text obtained in the step 2 and matching the corresponding text with the existing dialogue model library;
and 4, outputting and playing the matched dialogue model obtained in the step 3.
2. The learning method based on dialogue exchange of learning machine as claimed in claim 1, wherein the steps 1-4 are repeated, and the dialogue is stored and trained to obtain an existing dialogue model library.
3. The learning method based on dialogue exchange of learning machine as claimed in claim 1, wherein the target command in step 1 is a voice, and the voice is chinese or english.
4. The learning method of claim 3, wherein the target command is captured by a voice recorder or a camera.
5. The learning method as claimed in claim 3, wherein the speech is processed by image recognition or waveform mapping and then matched with the existing dialogue model library.
6. The learning method based on dialogue exchange of learning machine as claimed in claim 1, wherein the corresponding text in step 2 is a word or a sentence or a voice dialogue.
7. The learning method based on dialogue exchange of learning machine as claimed in claim 1, wherein the matching in step 3 is performed by extracting keywords.
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