CN109493658A - Situated human-computer dialogue formula spoken language interactive learning method - Google Patents
Situated human-computer dialogue formula spoken language interactive learning method Download PDFInfo
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- CN109493658A CN109493658A CN201910014790.1A CN201910014790A CN109493658A CN 109493658 A CN109493658 A CN 109493658A CN 201910014790 A CN201910014790 A CN 201910014790A CN 109493658 A CN109493658 A CN 109493658A
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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
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television 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
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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Abstract
The invention discloses a kind of situated human-computer dialogue formula spoken language interactive learning methods, belong to language learning field.Include the following steps, S1, the conversation content being placed under one or more contextual models generate trainable spoken content；S2, Oral Training is opened, into human-computer conversational mode；S3, the preceding sentence that spoken content is given expression to by voice mode, expressed content of the user according to preceding sentence, the content of sentence after being gone out by oral expression；S4, the rear sentence content gone out to user's oral expression are acquired, analyze, score and feed back；S5, step S3, S4 is repeated until situational dialogues terminates, completion spoken dialog is trained.Spoken by human-computer interaction dialogue exercise, correction promotes pronunciation standard, improves Oral Activities and students' ability to use language, and specific aim Oral Training is carried out in certain scenarios, and user is made to be familiar with and grasp the oral expression of some scene.
Description
Technical field
The present invention relates to a kind of situated human-computer dialogue formula spoken language interactive learning methods, belong to language learning field.
Background technique
Language is one of national important feature and the most important the vehicle of communication of the mankind, is the master that people are linked up
Expression way is wanted, the achievement of human civilization is saved and transmitted by language.The study of existing language, mostly being imparted knowledge to students based on books is
Main, such learning method one side efficiency is lower, and oracy cannot effectively improve, be easy to appear it is readable but not
The case where saying；It on the other hand is in specific situation, learner not can be carried out specific aim study, the language table in certain scenarios
It cannot be improved up to mode and ability to express.
Summary of the invention
Technical problem to be solved by the present invention lies in: a kind of situated human-computer dialogue formula spoken language interactive learning side is provided
Method, spoken by human-computer interaction dialogue exercise, correction promotes pronunciation standard, improves Oral Activities and students' ability to use language,
It is familiar with and grasps the oral expression of some scene.
The technical problems to be solved by the invention take following technical scheme to realize:
Situated human-computer dialogue formula spoken language interactive learning method, includes the following steps,
S1, the conversation content being placed under one or more contextual models generate trainable spoken content；
S2, Oral Training is opened, into human-computer conversational mode；
S3, the preceding sentence that spoken content is given expression to by voice mode, user pass through spoken table according to the expressed content of preceding sentence
The content of sentence up to after going out；
S4, the rear sentence content gone out to user's oral expression are acquired, analyze, score and feed back；
S5, step S3, S4 is repeated until situational dialogues terminates, completion spoken dialog is trained.
As preferred embodiment, in step S4, passes through recording form and acquire effective audio content.
As preferred embodiment, in step S4, analytic process specifically: judge that volume, ambient sound interference and acquisition have
The English content phrase of effect, oral expression content.
Scoring element as preferred embodiment, in step S4, in the link that scores are as follows: syllable judgement, fluency, integrity degree,
Accuracy, word speed.
As preferred embodiment, in step S4, feedback element are as follows: according to appraisal result, provide word in oral expression content,
Syllable it is excellent, good, in, difference is as a result, according to the matching degree of oral expression content and preceding sentence content and integrity degree and accuracy
Feedback is the dialogue training for repeatedly practicing also being to continue under next contextual model.
As preferred embodiment, in step s3, for the content that embodies of preceding sentence, it can also provide corresponding keyword and mention
Show and/or whole sentence prompts.
As preferred embodiment, keyword prompt and/or the prompt of whole sentence are instantly prompting.
As preferred embodiment, keyword prompt and/or the prompt of whole sentence have two kinds of Chinese and English.
The beneficial effects of the present invention are: spoken by human-computer interaction dialogue exercise, correction promotes pronunciation standard, improves mouth
Language ability to express and students' ability to use language carry out specific aim Oral Training in certain scenarios, and user is made to be familiar with and grasp some
The oral expression of scene.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is a kind of effect picture of specific embodiment in the present invention.
Specific embodiment
In order to be easy to understand to technical means, creative features, achievable purpose and effectiveness of the invention, below with reference to tool
Body diagram, the present invention is further explained.
As shown in Figure 1, situated human-computer dialogue formula spoken language interactive learning method, includes the following steps,
S1, the conversation content being placed under one or more contextual models generate trainable spoken content；
Specific spoken language content is set according to contextual model, can be a variety of situational contexts such as to strike up a conversation with, greet, using question and answer mode into
Row human-computer interaction.
S2, Oral Training is opened, into human-computer conversational mode；
S3, load bearing equipment give expression to the preceding sentence of spoken content by voice mode, and user is led to according to the expressed content of preceding sentence
Cross the content of sentence after oral expression goes out；
S4, the rear sentence content gone out to user's oral expression are acquired, analyze, score and feed back；
S5, step S3, S4 is repeated until situational dialogues terminates, completion spoken dialog is trained.
Load bearing equipment of the invention can be the plurality of devices such as mobile phone, tablet computer, computer, be planted according to the needs of use
Enter.
More specifically, in step S4, effective audio content is acquired by recording form.
More specifically, in step S4, analytic process specifically: judge that volume, ambient sound interference and acquisition are effective
English content phrase, oral expression content.
More specifically, in step S4, score link in scoring element are as follows: syllable judgement, fluency, integrity degree, accurately
Degree, word speed.
More specifically, in step S4, feedback element are as follows: according to appraisal result, provide word, syllable in oral expression content
It is excellent, good, in, difference is as a result, according to the matching degree of oral expression content and preceding sentence content and integrity degree and accuracy feedback
It is the dialogue training for repeatedly practicing also being to continue under next contextual model.
Further, in step s3, for the content that embodies of preceding sentence, corresponding keyword prompt can also be provided
And/or whole sentence prompt.
Further, keyword prompt and/or the prompt of whole sentence are instantly prompting.
Further, keyword prompt and/or the prompt of whole sentence have two kinds of Chinese and English.
In primary training, it can only be trained, can also set just for the spoken dialog in some certain scenarios
The spoken dialog entered in a variety of scenes is repeatedly trained.
Signified "and/or" in the present invention, the scheme represented are one such with while using A and B using A or B
Three kinds of schemes.
As shown in Fig. 2, load bearing equipment is that mobile phone passes through voice when training in a kind of specific embodiment wherein
Sentence content before playing out, and reply rear sentence the Chinese and English prompt for carrying out positive sentence, score after user answers and provide anti-
Feedback, if failing the oral expression content for clearly collecting user, is expressed prompt again.
Spoken by human-computer interaction dialogue exercise in the present invention, correction promotes pronunciation standard, improves Oral Activities
And students' ability to use language, specific aim Oral Training is carried out in certain scenarios, and user is made to be familiar with and grasp the spoken language of some scene
Expression.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, without departing from the spirit and scope of the present invention, this hair
Bright to will also have various changes and improvements, these changes and improvements are both fallen in the scope of protection of present invention.The present invention claims
Protection scope is defined by the appending claims and its equivalent thereof.
Claims (8)
1. situated human-computer dialogue formula spoken language interactive learning method, it is characterised in that: include the following steps,
S1, the conversation content being placed under one or more contextual models generate trainable spoken content；
S2, Oral Training is opened, into human-computer conversational mode；
S3, the preceding sentence that spoken content is given expression to by voice mode, user pass through spoken table according to the expressed content of preceding sentence
The content of sentence up to after going out；
S4, the rear sentence content gone out to user's oral expression are acquired, analyze, score and feed back；
S5, step S3, S4 is repeated until situational dialogues terminates, completion spoken dialog is trained.
2. situated human-computer dialogue formula spoken language interactive learning method according to claim 1, it is characterised in that: step S4
In, effective audio content is acquired by recording form.
3. situated human-computer dialogue formula spoken language interactive learning method according to claim 1, it is characterised in that: step S4
In, analytic process specifically: judge volume, ambient sound interference and acquire effective English content phrase, in oral expression
Hold.
4. situated human-computer dialogue formula spoken language interactive learning method according to claim 1, it is characterised in that: step S4
In, the scoring element in the link that scores are as follows: syllable judgement, fluency, integrity degree, accuracy, word speed.
5. situated human-computer dialogue formula spoken language interactive learning method according to claim 1, it is characterised in that: step S4
In, feedback element are as follows: according to appraisal result, provide word in oral expression content, syllable it is excellent, good, in, difference as a result, according to
The matching degree of oral expression content and preceding sentence content and integrity degree and accuracy feedback be repeat practice be also to continue with it is next
Dialogue training under contextual model.
6. situated human-computer dialogue formula spoken language interactive learning method according to claim 1, it is characterised in that: in step S3
In, for the content that embodies of preceding sentence, it can also provide corresponding keyword prompt and/or the prompt of whole sentence.
7. situated human-computer dialogue formula spoken language interactive learning method according to claim 6, it is characterised in that: keyword mentions
Show and/or the prompt of whole sentence is instantly prompting.
8. situated human-computer dialogue formula spoken language interactive learning method according to claim 6 or 7, it is characterised in that: crucial
Word prompt and/or the prompt of whole sentence have two kinds of Chinese and English.
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| CN110148430A (en) * | 2019-04-30 | 2019-08-20 | 腾讯科技（深圳）有限公司 | Method for recording and device, the storage medium and electronic device of audio |
| CN110444056A (en) * | 2019-08-15 | 2019-11-12 | 湖北纽云教育科技发展有限公司 | A kind of application method of English conversational system |
| CN110992754A (en) * | 2019-12-02 | 2020-04-10 | 王言之 | High-efficiency pre-examination, self-learning and teaching method for oral English |
| CN111625717A (en) * | 2020-05-15 | 2020-09-04 | 广东小天才科技有限公司 | Task recommendation method and device in learning scene and electronic equipment |
| CN111833671A (en) * | 2020-08-03 | 2020-10-27 | 张晶 | Circulation feedback type English teaching demonstration device |
| CN115798513A (en) * | 2023-01-31 | 2023-03-14 | 新励成教育科技股份有限公司 | Talent expression management method, system and computer readable storage medium |
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