CN2798212Y - Prestoring type learning machine for foreign language - Google Patents
Prestoring type learning machine for foreign language Download PDFInfo
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- CN2798212Y CN2798212Y CN 200520041637 CN200520041637U CN2798212Y CN 2798212 Y CN2798212 Y CN 2798212Y CN 200520041637 CN200520041637 CN 200520041637 CN 200520041637 U CN200520041637 U CN 200520041637U CN 2798212 Y CN2798212 Y CN 2798212Y
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- 230000005055 memory storage Effects 0.000 claims description 32
- 238000006243 chemical reaction Methods 0.000 claims description 30
- 210000002105 tongue Anatomy 0.000 description 23
- 238000000034 method Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
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Abstract
The utility model relates to a prestoring type learning machine for foreign language. When the traditional learning machine for the foreign language checks new words or translates, the machine is input by a keyboard, use is convenient and efficiency is low. The learning machine of the utility model comprises an input device, a converting device, a feature code storage device, a foreign language content storage device, a feature code relational storage device, a recognition device and an output device, wherein the input device receives a speech signal; the converting device converts the speech signal into a feature code; the feature code storage device stores a feature code of a native language scheduled content; the foreign language content storage device stores the corresponding foreign language content; the feature code relational storage device stores a relational list between the feature code and the foreign language content; the recognition device receives the feature code to be translated output by the converting device, compares the feature code to be translated with the feature codes stored in the feature code storage device and the feature code relational storage device, and finds out the foreign language which corresponds to the feature code; the output device is connected with the recognition device and is used for outputting the corresponding foreign language content.
Description
Technical field
The utility model relates to a kind of language learning machine, specifically, relates to a kind of formula foreign language learning machine that prestores.
Background technology
With this science and technology development, foreign language studying from traditional books form, develops into the electronic installation form.All kinds of language learners are arranged in the market, function such as that its basic function comprises is re-reading, new word inquiry, translation.Yet this speech like sound learning machine all exists same problem, no matter looks into new word or translates, and all needs the user by keyboard input individual character or sentence to be looked into, and provides corresponding explanation by learning machine then.This keyboard inputs to the user and has brought many inconvenience, and learning efficiency is not high.
The utility model content
Therefore, the purpose of this utility model is to provide a kind of easy to use, the foreign language learning machine that need not the keyboard input can translate.
The utility model is on the basis of present existing speech recognition, changes traditional keyboard and is input as the speech recognition input, and a kind of formula foreign language learning machine that prestores is provided.
According to above-mentioned purpose, foreign language learning machine of the present utility model comprises:
Input media receives the user according to the voice signal of mother tongue predetermined content input and the voice signal to be translated of user's input;
Conversion equipment links to each other with described input media, receives the voice signal of the user of described input media output according to the input of mother tongue predetermined content, converts this voice signal to mother tongue predetermined content condition code; Described conversion equipment also receives the voice signal to be translated of input media output, and converts this voice signal to be translated to condition code to be translated;
The condition code memory storage links to each other with described input media, is used to store the mother tongue predetermined content condition code of described conversion equipment according to the voice signal conversion conversion output of the mother tongue predetermined content of user's input;
The foreign language content storage devices links to each other with described input media, is used for storage and the corresponding foreign language content of described mother tongue predetermined content;
Condition code concerns memory storage, stores the relation table between the described foreign language content of storing in the described mother tongue predetermined content condition code of storing in the described condition code memory storage and the described foreign language content storage devices;
Recognition device is deposited all devices with described conversion equipment, condition code memory storage with the condition code relation and is linked to each other, and receives the condition code described to be translated of described conversion equipment output; Described condition code to be translated and described condition code memory storage and described condition code are concerned that the condition code of storing in the memory storage compares, find out corresponding with it foreign language content;
Output unit links to each other with described recognition device, is used to export corresponding foreign language content.
In the above-mentioned formula that prestores foreign language learning machine, described input media is a microphone.
In the above-mentioned formula that prestores foreign language learning machine, described foreign language content storage devices storage foreign language letter signal and foreign language voice signal.
In the above-mentioned formula that prestores foreign language learning machine, described condition code memory storage, described foreign language content storage devices and described condition code concern that memory storage adopts the high capacity micro hard disk.
Description of drawings
In the embodiment below, will describe preferred embodiment of the present utility model in conjunction with the accompanying drawings in detail, specific descriptions of the present utility model and advantage thereof, feature and effect will be able to imbody in conjunction with the following examples, in the accompanying drawing:
Fig. 1 is the structural representation of the formula foreign language learning machine that prestores of the present utility model;
Fig. 2 A is the prestore process flow diagram of learning program of the formula foreign language learning machine that prestores of the present utility model;
Fig. 2 B is the process flow diagram of the formula foreign language learning machine translator unit that prestores of the present utility model.
Embodiment
The structure of the formula foreign language learning machine that prestores of the present utility model is described by following elder generation in conjunction with Fig. 1.
As shown in Figure 1, the formula foreign language learning machine that originally prestores can comprise as lower member:
Input media 1, this input media 1 is used to receive the user's voice input signal, and the user can utilize the various mother tongues to be translated of this input media 1 input.Input media 1 can be input equipments such as microphone;
Conversion equipment 2, this conversion equipment 2 links to each other with input media 1, and it receives the voice signal (electric signal) of input media 1 output, converts this voice signal to condition code by certain mode.The conversion of condition code can be adopted conventional method, and one of them example can be: crest, the trough of intercepting voice signal, compress, and be compiled into condition code.Because of the conversion of condition code belongs to routine techniques, therefore exemplify explanation no longer one by one at this;
Condition code memory storage 3A links to each other with conversion equipment 2.Be used to store the condition code of conversion equipment 2 outputs.In the present embodiment, memory storage 3 can adopt miniature big capacity hard disk, it will be understood by those of skill in the art that the memory storage that also can adopt other certainly, for example FLASH storer etc.;
Foreign language content storage devices 3B, memory storage 3B is used to store the foreign language content, and this foreign language content can be word, phrase or sentence.The foreign language content of foreign language content storage devices 3B storage can be the foreign language Word message, also can be the foreign language voice messaging, and its particular content will be further explained below;
Condition code concerns memory storage 3C, the corresponding relation between the foreign language content that is used for storing among condition code that storage attribute code memory storage 3A stores and the foreign language content storage devices 3B;
In the present embodiment, above-mentioned memory storage 3A, 3B and 3C can adopt miniature big capacity hard disk, it will be understood by those of skill in the art that the memory storage that also can adopt other certainly, for example FLASH storer etc.;
Recognition device 4, concern that with condition code memory storage 3C links to each other with conversion equipment 2 and condition code memory storage 3A, foreign language content storage devices 3B, the condition code of recognition device receiving converter 2 outputs, and utilize condition code memory storage 3A, foreign language content storage devices 3B and condition code concern memory storage 3C find out with the corresponding foreign language content of condition code of conversion equipment 2 output, and this foreign language content outwards exported;
Output unit 5 links to each other with recognition device 4, receives the foreign language content of recognition device 4 outputs, and outwards output.Output unit 5 can comprise display and loudspeaker, and display is used for showing the foreign language Word message of foreign language content, and loudspeaker is with the foreign language voice messaging in the voice mode output foreign language content.
To explain the principle of work of the formula that prestores foreign language learning machine shown in Figure 1 again in conjunction with Fig. 2 below.
The formula foreign language learning machine that prestores of the present utility model comprises two parts: first is the learning program that prestores, and its process flow diagram is shown in Fig. 2 A, and second portion is a translator unit, and its process flow diagram is shown in Fig. 2 B.
Initial use of the present utility model prestoring during formula foreign language learning machine, need the process of the study that prestores, by the study part that prestores of first, study user's voice feature, and store this feature, and promptly so-called " formula prestores ", its process flow diagram is shown in Fig. 2 A.
At first, because the input media 1 of learning machine receives user's voice signal (step S11); In this step, the user communicates in one's mother tongue and utilizes input media 1 this mother tongue predetermined content of input by a predetermined content.Be the example of a mother tongue predetermined content below:
We;
You;
They;
....
The user reads aloud these contents with mother tongue respectively by said sequence.For example at first, the user is with oneself mother tongue and the content of pronouncing to be accustomed to read aloud at the 1st, " we ", then, learning machine of the present utility model in conversion equipment 2, converts this voice signal to mother tongue predetermined content condition code (step S12) after step S11 receives this voice signal.
Conversion equipment 2 carries out related (S13) with this mother tongue predetermined content condition code with the foreign language content in being stored in foreign language content storage devices 3B in advance then, obtains the relation table between mother tongue predetermined content condition code and the foreign language content.Stored foreign language content identical with the mother tongue predetermined content and that order is also identical among this foreign language content storage devices 3B, at above-mentioned example, what this foreign language content storage devices 3B stored thes contents are as follows:
1.We；
2.You；；
3.They；
....
At last, conversion equipment 2 is stored in this mother tongue predetermined content condition code and relation table among condition code memory storage 3A and the condition code relation table memory storage 3C (step S14).
So repeat above-mentioned steps S11-S14, can finish the conversion and the storage of whole predetermined content, to finish the process of study part.
Through after the above-mentioned learning program, foreign language learning machine of the present utility model has promptly had the characteristic at this specific user.During use, the user can be with the custom mother tongue pronunciation of controlling oneself, and input needs new word, short sentence or the sentence of translation.Shown in Fig. 2 B, input media 1 receives the voice signal to be translated (S21) of user's input; Then, conversion equipment 2 converts this voice signal to corresponding condition code (S22) to be translated.Step S11 and S12 among reception here and switch process and Figure 1A are basic identical.
Then, recognition device 4 compares this condition code to be translated with the condition code that is stored among the condition code memory storage 3A, find out the condition code of coupling, and utilize condition code to concern relation table among the memory storage 3C, from foreign language content storage devices 3B, find out corresponding foreign language content (S23).At last, recognition device 4 is exported to output unit 5 with corresponding foreign language content, outwards exports the foreign language content by output unit 5.As previously mentioned, the output here can be that screen display shows, also can be loudspeaker sounding (S24).
Foreign language in full can be the other Languages outside the mother tongue, and mother tongue is a Chinese for Chinese, for the foreigner, can be its mother tongue, for example, and English, French etc.Therefore, foreign language here and mother tongue are comparatively speaking, should not do concrete qualification.
Claims (4)
1, a kind of formula foreign language learning machine that prestores is characterized in that, comprising:
Input media receives the user according to the voice signal of mother tongue predetermined content input and the voice signal to be translated of user's input;
Conversion equipment links to each other with described input media, receives the voice signal of the user of described input media output according to the input of mother tongue predetermined content, converts this voice signal to mother tongue predetermined content condition code; Described conversion equipment also receives the voice signal to be translated of input media output, and converts this voice signal to be translated to condition code to be translated;
The condition code memory storage links to each other with described conversion equipment, is used to store the mother tongue predetermined content condition code of described conversion equipment according to the voice signal conversion conversion output of the mother tongue predetermined content of user's input;
The foreign language content storage devices links to each other with described conversion equipment, is used for storage and the corresponding foreign language content of described mother tongue predetermined content;
Condition code concerns memory storage, links to each other with described conversion equipment, stores the relation table between the described foreign language content of storing in the described mother tongue predetermined content condition code of storing in the described condition code memory storage and the described foreign language content storage devices;
Recognition device is deposited all devices with described conversion equipment, condition code memory storage and characteristic relation and is linked to each other, and receives the condition code described to be translated of described conversion equipment output; Described condition code to be translated and described condition code memory storage and described condition code are concerned that the condition code of storing in the memory storage compares, find out corresponding with it foreign language content;
Output unit links to each other with described recognition device, is used to export corresponding foreign language content.
2, the formula foreign language learning machine that prestores as claimed in claim 1 is characterized in that described input media is a microphone.
3, the formula foreign language learning machine that prestores as claimed in claim 1 is characterized in that, described foreign language content storage devices storage foreign language letter signal and foreign language voice signal.
4, the formula foreign language learning machine that prestores as claimed in claim 1 is characterized in that, described condition code memory storage, described foreign language content storage devices and described condition code concern that memory storage adopts the high capacity micro hard disk.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520041637 CN2798212Y (en) | 2005-05-18 | 2005-05-18 | Prestoring type learning machine for foreign language |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520041637 CN2798212Y (en) | 2005-05-18 | 2005-05-18 | Prestoring type learning machine for foreign language |
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|---|---|
| CN2798212Y true CN2798212Y (en) | 2006-07-19 |
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| CN 200520041637 Expired - Fee Related CN2798212Y (en) | 2005-05-18 | 2005-05-18 | Prestoring type learning machine for foreign language |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091478A (en) * | 2014-07-08 | 2014-10-08 | 肖文芳 | Answering-while-questioning learning machine and network learning system |
| CN104916285A (en) * | 2014-10-13 | 2015-09-16 | 江苏华音信息科技有限公司 | Full-automatic foreign language voice field control automobile driving controller apparatus |
| CN108682201A (en) * | 2018-03-30 | 2018-10-19 | 华北水利水电大学 | A kind of English teaching system based on intelligent terminal |
| CN109285396A (en) * | 2018-07-11 | 2019-01-29 | 北京美高森教育科技有限公司 | Voice new word detection method, learning machine, trainer aircraft and its teaching APP system |
-
2005
- 2005-05-18 CN CN 200520041637 patent/CN2798212Y/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091478A (en) * | 2014-07-08 | 2014-10-08 | 肖文芳 | Answering-while-questioning learning machine and network learning system |
| CN104916285A (en) * | 2014-10-13 | 2015-09-16 | 江苏华音信息科技有限公司 | Full-automatic foreign language voice field control automobile driving controller apparatus |
| CN108682201A (en) * | 2018-03-30 | 2018-10-19 | 华北水利水电大学 | A kind of English teaching system based on intelligent terminal |
| CN109285396A (en) * | 2018-07-11 | 2019-01-29 | 北京美高森教育科技有限公司 | Voice new word detection method, learning machine, trainer aircraft and its teaching APP system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: SHANGHAI RENXING SOFTWARE TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: GU ZHIMIN Effective date: 20100326 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 200030 NO.25, LANE 326, BAODING ROAD, SHANGHAI CITY TO: 200061 ROOM 2005, TOWER E, NO.1715, ZHONGSHAN NORTH ROAD, PUTUO DISTRICT, SHANGHAI CITY |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20100326 Address after: 200061 room 2005, block E, No. 1715, Zhongshan North Road, Shanghai, Putuo District Patentee after: Shanghai Star Software Technology Co., Ltd. Address before: 200030 No. 326, Lane 25, Baoding Road, Shanghai Patentee before: Gu Zhimin |
|
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20060719 |