CN202331850U - Foreign language learning machine capable of marking phonetic symbol automatically to correct pronunciation - Google Patents
Foreign language learning machine capable of marking phonetic symbol automatically to correct pronunciation Download PDFInfo
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- CN202331850U CN202331850U CN2011204982519U CN201120498251U CN202331850U CN 202331850 U CN202331850 U CN 202331850U CN 2011204982519 U CN2011204982519 U CN 2011204982519U CN 201120498251 U CN201120498251 U CN 201120498251U CN 202331850 U CN202331850 U CN 202331850U
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Abstract
The utility model discloses a foreign language learning machine capable of marking a phonetic symbol automatically to correct pronunciation, belonging to the field of foreign language learning devices. The foreign language learning machine comprises an audio input module, an audio processing module, an audio identification module, a display module and a storage module, wherein the audio input module comprises a microphone; the audio processing module comprises an A/D (Analog to Digital) converter, a signal processor and an audio cutter which are connected sequentially; the audio identification module comprises a microprocessor and a phonetic recognition chip which are connected through a circuit; the microphone, the A/D converter, the signal processor, the audio cutter, the microprocessor and the display module are connected sequentially; and the storage module is connected with the microprocessor. In comparison with the prior art, the foreign language learning machine, disclosed by the utility model, can be used for learning about the actual difference in the aspect of pronunciation of a learner and the degrees of the difference and putting forward improvement suggestions to the learner according to the information.
Description
[technical field]
The utility model relates to a kind of foreign language learning device, particularly a kind of foreign language learning machine that is applicable to phonetic study and corrects pronunciation mistakes.
[background technology]
China is from getting into WTO, and this language of English more and more has superiority in China's trade field effect.All there is exigence in all kinds of School of High Profession Technology for the level and the pronunciation of each department English.Along with English language in domestic the popularizing of China, studying English since the junior middle school now is deep in the preschool education gradually.And in the process of acquistion Second Foreign Language English, crucial effect has been played in the pronunciation of English.Can say that English has not been a difficult matter, but the standard of pronunciation seems more and more important.But the influence of various factorss such as Chinese dialect, the pronunciation of English is difficult to reach standard, even produces the pronunciation of region English.Can not learn the standard English pronunciation well, be difficult to overcome the aphasis of linking up with external westerner.The grasp standard pronunciation is the most basic technical ability of acquistion second language English.A kind of device that can show audio volume control is arranged in the market, and then let the learner compare their pronunciation wave mode voluntarily and instructor's pronunciation waveform is corrected.Yet aforesaid product but has their limitation.On the one hand the waveform of sound does not have special meaning to common people, though aspect language well-trained expert, also can't singly whether similar by watching waveform just to judge two pronunciations.On the other hand, because these systems can't find out the position of each syllable in voice signal, thus can't compare one by one to each syllable, and and then find out the part proposition that wherein otherness is bigger and improve suggestion.So such comparison result is not have a meaning.
[utility model content]
The technical assignment of the utility model is the deficiency to above prior art, and the foreign language learning machine of a kind of automatic sign phonetic symbol to correct pronunciation mistakes is provided.
The technical scheme that the utility model solves its technical matters is: the foreign language learning machine of a kind of automatic sign phonetic symbol to correct pronunciation mistakes; It is characterized in that: comprise audio frequency load module, audio processing modules, audio identification module, display module and memory module, described audio frequency load module comprises microphone; Audio processing modules comprises A/D converter, signal processor, the audio frequency cutter that order links to each other; The audio identification module comprises microprocessor, the voice recognition chip that circuit links to each other; Described microphone, A/D converter, signal processor, audio frequency cutter, microprocessor, display module are continuous in proper order; Memory module is connected with microprocessor.
Also comprise the audio frequency output module.
Above-mentioned microphone is little silicon capacitor microphone.
Above-mentioned voice recognition chip is the hidden markov recognizer.
Compared with prior art, the utlity model has following outstanding beneficial effect:
1, can learn where the learner occurs in enunciative difference actually, the degree of difference has muchly, so this device also can propose to improve suggestion to the learner according to these information;
2, integrated level is high, and cost is low, and volume is little, and is in light weight.
[description of drawings]
Fig. 1 is the structural representation block diagram of the utility model.
[embodiment]
Below in conjunction with Figure of description and embodiment the utility model is further specified.
As shown in Figure 1, the utility model comprises audio frequency load module, audio processing modules, audio identification module, display module, memory module and the audio frequency output module that circuit links to each other.
Described audio frequency load module comprises microphone, and present embodiment is little silicon capacitor microphone of high anti-noise.Described audio processing modules comprises A/D converter, signal processor, the audio frequency cutter that order links to each other.Described audio identification module comprises microprocessor, the voice recognition chip that circuit links to each other, and described voice recognition chip is the hidden markov recognizer.Described microphone, A/D converter, signal processor, audio frequency cutter, microprocessor, display module are continuous in proper order; Memory module is connected with microprocessor.
Carry out audio collection through microphone; Electric signal is converted into digital signal via the A/D converter; Digital signal is carried out noise reduction, filtration, processing and amplifying via signal processor, and the signal after the processing gets into the audio frequency cutter, and the audio frequency cutter cuts into one by one the fixedly sample audio frequency frame of length with the sample voice signal; Sample audio frequency frame order gets into microprocessor; By microprocessor submit to the hidden markov recognizer carry out the characteristic acquisition and with internal memory in standard phonetic symbol feature samples coupling, thereby the phonetic symbol that draws this sound indicates and feeds back to microprocessor, microprocessor will have sample audio frequency frame that phonetic symbol indicates and be converted into and can make signal submit to display module.The audio data that microprocessor also can be transferred in the memory module is play through the audio frequency output module.
Need to prove; The particular of the utility model is described in detail the utility model; For a person skilled in the art, in the various conspicuous change of under the situation of spirit that does not deviate from the utility model and scope it being carried out all within the protection domain at the utility model.
Claims (4)
1. one kind indicates the foreign language learning machine of phonetic symbol to correct pronunciation mistakes automatically, and it is characterized in that: comprise audio frequency load module, audio processing modules, audio identification module, display module and memory module, described audio frequency load module comprises microphone; Audio processing modules comprises A/D converter, signal processor, the audio frequency cutter that order links to each other; The audio identification module comprises microprocessor, the voice recognition chip that circuit links to each other; Described microphone, A/D converter, signal processor, audio frequency cutter, microprocessor, display module are continuous in proper order; Memory module is connected with microprocessor.
2. the foreign language learning machine of automatic sign phonetic symbol according to claim 1 to correct pronunciation mistakes is characterized in that also comprising the audio frequency output module.
3. the foreign language learning machine of automatic sign phonetic symbol according to claim 1 to correct pronunciation mistakes is characterized in that said microphone is little silicon capacitor microphone.
4. the foreign language learning machine of automatic sign phonetic symbol according to claim 1 to correct pronunciation mistakes is characterized in that said voice recognition chip is the hidden markov recognizer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011204982519U CN202331850U (en) | 2011-11-25 | 2011-11-25 | Foreign language learning machine capable of marking phonetic symbol automatically to correct pronunciation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011204982519U CN202331850U (en) | 2011-11-25 | 2011-11-25 | Foreign language learning machine capable of marking phonetic symbol automatically to correct pronunciation |
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| CN202331850U true CN202331850U (en) | 2012-07-11 |
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| CN2011204982519U Expired - Fee Related CN202331850U (en) | 2011-11-25 | 2011-11-25 | Foreign language learning machine capable of marking phonetic symbol automatically to correct pronunciation |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103198726A (en) * | 2013-04-23 | 2013-07-10 | 李华 | English learning equipment |
| CN105551327A (en) * | 2016-03-07 | 2016-05-04 | 浙江理工大学 | Interactive pronunciation correcting system and method based on soft electronic skin |
| CN105894874A (en) * | 2016-06-03 | 2016-08-24 | 谭玉勇 | Audio multifunctional device for news learning |
| CN106205230A (en) * | 2016-06-16 | 2016-12-07 | 崔月霞 | Learning english grammar Sentence analysis system |
| CN107203539A (en) * | 2016-03-17 | 2017-09-26 | 曾雅梅 | The speech evaluating device of complex digital word learning machine and its evaluation and test and continuous speech image conversion method |
| CN109451386A (en) * | 2018-10-20 | 2019-03-08 | 东北大学秦皇岛分校 | Return sound functional component, sound insulation feedback earphone and its application and sound insulation feedback method |
-
2011
- 2011-11-25 CN CN2011204982519U patent/CN202331850U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103198726A (en) * | 2013-04-23 | 2013-07-10 | 李华 | English learning equipment |
| CN105551327A (en) * | 2016-03-07 | 2016-05-04 | 浙江理工大学 | Interactive pronunciation correcting system and method based on soft electronic skin |
| CN107203539A (en) * | 2016-03-17 | 2017-09-26 | 曾雅梅 | The speech evaluating device of complex digital word learning machine and its evaluation and test and continuous speech image conversion method |
| CN107203539B (en) * | 2016-03-17 | 2020-07-14 | 曾雅梅 | Speech evaluating device of complex word learning machine and evaluating and continuous speech imaging method thereof |
| CN105894874A (en) * | 2016-06-03 | 2016-08-24 | 谭玉勇 | Audio multifunctional device for news learning |
| CN106205230A (en) * | 2016-06-16 | 2016-12-07 | 崔月霞 | Learning english grammar Sentence analysis system |
| CN106205230B (en) * | 2016-06-16 | 2019-01-11 | 崔月霞 | Learning english grammar sentence analysis system |
| CN109451386A (en) * | 2018-10-20 | 2019-03-08 | 东北大学秦皇岛分校 | Return sound functional component, sound insulation feedback earphone and its application and sound insulation feedback method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120711 Termination date: 20121125 |