WO2005087301A1 - ボケ防止装置およびボケ防止方法 - Google Patents
ボケ防止装置およびボケ防止方法 Download PDFInfo
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- WO2005087301A1 WO2005087301A1 PCT/JP2005/002695 JP2005002695W WO2005087301A1 WO 2005087301 A1 WO2005087301 A1 WO 2005087301A1 JP 2005002695 W JP2005002695 W JP 2005002695W WO 2005087301 A1 WO2005087301 A1 WO 2005087301A1
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- blur prevention
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- 206010012289 Dementia Diseases 0.000 title abstract description 5
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
Definitions
- the present invention relates to a blur prevention device and a blur prevention method that activates brain activity and prevents blurring by listening to degraded noise speech in which at least a part of a band signal of a voice signal is made noise. .
- the audio signal is divided into four frequency bands (0—600, 600—1500, 150 0—2500, 2500—4000tiz), and each audio signal is half-wave rectified to 16 Hz.
- a low-pass filter is used to find the amplitude envelope of each frequency band, and a signal obtained by adding the signals multiplied by the band noise corresponding to each frequency band is created.
- Such a signal is called degraded noise speech. It has been reported that about 80% intelligibility was obtained when deteriorating noise speech was heard by subjects with normal hearing ability.
- Non-patent ⁇ ffl ⁇ l bnannon, R.V., et.al, 'speech Recognition with Primarily Temporal Cues ", SIENCE, 270, 303-305 (1995)
- Non-Patent Document 2 Nobuhisa Obata, Hiroshi Rikimaru: Frequency component deteriorated speech focusing on temporal amplitude change, Perception study of the Acoustical Society of Japan H-99-6 (1999)
- Non-Patent Document 3 Nobuhisa Obata, Hiroshi Kamaru: Intelligibility of Japanese speech synthesized by band noise-Aiming at a speech processor using the function of the auditory central nervous system-, Acoustical Society of Japan, Hearing Study Group Material H- 2000-3 (2000)
- the blur prevention apparatus and the blur prevention method of the present invention employ the following means and procedures.
- a signal of a predetermined band is extracted from a sound source signal by a first band filtering unit having a plurality of band filters, and an envelope of each band signal is extracted by an envelope extraction unit having an envelope extractor
- the noise source signal is added to a second band filtering unit having a plurality of band filters, and a noise signal corresponding to the predetermined band is extracted, and the output of the envelope extracting unit and the second band filtering unit are extracted.
- the output of the multiplier is multiplied and the output of the multiplier is accumulated in the adder so as to create a deteriorated noise audio signal in which the sound source signal component is made noise.
- the number of bandpass filters and the frequency boundary of the band can be selected or changed.
- people of multiple nationalities can use it by selecting or changing the number of bandpass filters and band frequency boundaries suitable for the language. it can.
- a program recording medium that records a program for causing a computer to function may be a program for causing a computer to function.
- the blur prevention device and the blur prevention method for converting normal speech to degraded noise speech for listening, the activation of the brain is promoted, the brain function is enhanced, and the language understanding is enhanced.
- the best mode for carrying out the invention is capable of preventing the cause of the blur phenomenon from occurring in the brain and preventing the occurrence of blur symptoms.
- a blur prevention device and the like will be described with reference to the drawings.
- repeated description may be abbreviate
- FIG. 1 is a block diagram of the blur prevention apparatus of the present invention.
- the input audio signal from the microphone is applied to the band-pass filter 1 via the input terminal 7.
- the band filtering unit 1 includes a plurality of band filters la, lb, lc, and Id that extract a signal of a predetermined band.
- the output signals of the bandpass filters la, lb, lc, and Id are applied to the envelope extractors 2a, 2b, 2c, and 2d of the envelope extractor 2, respectively.
- Each envelope extractor 2a, 2b, 2c, 2d extracts the envelope of each band signal.
- the noise signal output from the noise source 5 is applied to the bandpass filter 4 having a plurality of bandpass filters 4a, 4b, 4c, 4d, and is demultiplexed into a noise signal having the same frequency band as the bandpass filter 1.
- the outputs of the envelope extractors 2a, 2b, 2c, 2d and the bandpass filters 4a, 4b, 4c, 4d are multiplied for each corresponding band in the multiplier 3 having the multipliers 3a, 3b, 3c, 3d. .
- the plurality of multiplication results are accumulated in the adder 6 and output as an output signal at the output terminal 8.
- the bandpass filter has a known function for extracting a predetermined frequency component of a signal, and can be constituted by an analog circuit, a digital circuit, a digital signal processor, or the like.
- the envelope extractor has a well-known function for detecting a change in the amplitude value of a signal, and can be configured by an analog circuit, a digital circuit, a digital signal processor, etc. using the principle of half-wave rectification or full-wave rectification. .
- the bandpass filters la and 4a responsible for the highest band may be high-pass filters.
- the bandpass filters l d and 4d responsible for the lowest band may be low-pass filters.
- Fig. 8 is a diagram showing the results of observing the activation state of the brain using a functional MRI apparatus.
- B4 is obtained by dividing the audio material into four frequency bands using a bandpass filter and extracting each amplitude envelope.
- the boundary frequencies are 600, 1500, and 2100 Hz, and the narrowband noise and amplitude with the corresponding frequency bands are extracted.
- B1 extracted the amplitude envelope of the entire frequency band and multiplied it with noise. However, this noise is multiplied in advance by the effective value of the audio material divided at the boundary frequency.
- S is an audio material.
- N is a power spectrum approximation similar to B4 in the same way as B1, but without an amplitude envelope.
- plain sentences consisting of 12 16 mora (23 seconds) were recorded with a sampling frequency of 8000 Hz and a quantization accuracy of 16 bits.
- low-frequency noise 40 Hz or less
- Fig. 8c The activation part of the left temporal lobe seen in [SN] (Fig. 8c) is considered to be the part used for normal speech recognition.
- Activation of brain activity maintains and strengthens the function of the part, so that it can prevent deterioration of the function of the auditory recognition part, and can also be expected to prevent blurring of various parts other than the auditory recognition part.
- “bokeh” means a state in which the acquired intelligence is continuously reduced and is dementia.
- deteriorated noise speech is also expected to activate the activity of the part where the brain disorder that is considered to be the cause of the blurring phenomenon occurs. It can also be expected to prevent the onset of blurring and reduce the symptoms due to functional recovery of brain parts.
- the frequency characteristics of each bandpass filter should have a frequency characteristic that compensates for the sensitivity reduction characteristic for that frequency band.
- the dynamic range is set appropriately for each multiplier 3a, 3b, 3c, 3d of multiplier 3. If you want to have a non-linear multiplication characteristic to correct.
- the band noise signal is created from the noise source 5, but the signal power may be created by distorting the audio signal to make noise.
- the input signal of the bandpass filter 1 may be distorted, or the output signal of the bandpass filter la-Id may be distorted.
- the envelope detection is performed for each of the audio signals in the four frequency bands, and the amplitude of the corresponding band noise signal is changed by the envelope signal.
- the speed of the time change of the envelope signal may follow the change of the sound, but may be slower. That is, the time average value of the envelope signal of each frequency band may be used.
- the activation effect of the brain may be slightly reduced, but activation other than auditory recognition and voice recognition can be performed.
- At least a part of the input voice signal is divided into single or plural band signals to obtain a degraded noise voice signal, which is listened to by the user.
- An anti-blurring device is provided, and the anti-blurring device promotes activation of the brain, and is expected to be effective in preventing blurring.
- FIG. 2 is a block diagram of an anti-blurring device in a game format using the degraded noise sound of the present invention.
- the band filtering unit 1, the envelope extracting unit 2, the multiplying unit 3, the band filtering unit 4, the noise source 5, and the adding unit 6 have the same configuration as in FIG.
- the sound source signal unit 10 stores audio signals of various words and sentences.
- the sound source selection control unit 11 passes a control signal to the sound source signal unit 10 to select and specify a sound signal of a predetermined word or sentence.
- the sound source signal unit 10 outputs the speech signal of words and sentences designated by the sound source selection control unit 11 to the band filtering unit 1. From the output terminal 8, a speech signal with degraded noise of the word or sentence is output.
- the instructor operates the sound source selection control unit 11 in accordance with the anti-blurring program, and sequentially asks the user to hear words and sentences.
- the user listens to the degraded noise voice and responds verbally to the instructor with recognized words and sentences.
- the instructor determines correctness and informs the user of the result, and proceeds to the next step.
- the user learns by knowing the correctness.
- the leader selects the next word or sentence to be given according to the right or wrong situation.
- the frequency bands of the band-pass filters of the band-pass filtering units 1 and 4 are standard 0 to 600 Hz, 600 to 1500 Hz, 1500 to 2500 Hz, and 2500 to 4000 Hz.
- the band selection unit 12 can switch the frequency bands of the band filtering units 1 and 4.
- the number of frequency bands can be selected from 1, 2, 3, and 4. This is because some words, such as vowels, consonants, and plosives, do not require four frequency bands.
- the number of frequency bands can be set to 2.
- the boundary frequency between the frequency bands can be switched between 600Hz, 1500Hz, 2500Hz and 4000Hz.
- 600Hz, 1500Hz, 2500Hz, 4000Hz are separated from the vowels of the voice by the 1st and the 2nd Fahrenheit Nolemant and in Japanese, Za /, / i /, / uZ, / e /, / o / Yes Value close to the standard frequency boundary.
- this frequency boundary may be slightly different from person to person.
- frequency band boundaries are adjusted. It is expected that the effect of preventing blurring will be improved by adjusting and changing, so that switching can be selected for this purpose.
- the vowel system is different from that in Japanese, so the number of bandpass filters and the boundary frequency can be switched to accommodate foreign languages. Also good.
- an automatic language recognition unit When dealing with a foreign language, an automatic language recognition unit may be provided, and the automatic language recognition unit may automatically recognize words and sentences first input to a microphone by a user or an instructor.
- the country name data which is the recognition result of the automatic language recognition unit, is given to the band selection unit 12, and the band selection unit 12 displays the number of band filters and the frequency band boundary corresponding to the language of the country. Let me set it to.
- the effect of promoting the activation of the brain activity can be obtained by the game-type blur prevention device described in the present embodiment.
- FIG. 3 is a block diagram of another embodiment of the game-type blur prevention apparatus using the degraded noise voice of the present invention.
- the deteriorated noise sound output from the adder 6 is presented to the user through the headphones 13 serving as an output unit.
- the sound source selection control unit 11 has a display signal generation control function in addition to the sound source signal selection function, and gives instructions to the user and answers to words and sentences by degraded noise voice of the display device 14 which is a display unit. Display characters on the screen.
- the answer input unit 15 is a keyboard for inputting recognized words and sentences.
- the information signal from the answer input unit 15 is transmitted to the sound source selection control unit 11, and the sound source selection control unit 11 analyzes the contents of the answer and selects the next word or sentence to be presented according to the answer result.
- the sound source selection control unit 11 includes a blur prevention program. For example, 10 basic words and sentences are presented as a set, one by one in sequence, and the user listens to the deteriorated noise sound and uses the response input unit 15 to input the recognized answer into Enter in.
- the sound source selection control unit 11 receives the response input unit 15 at the timing when the response is input to the response input unit 15.
- the information signal indicating the attached answer is compared with the text information corresponding to the words and sentences output from the headphones 13 to determine whether the answer is correct or incorrect. Then, the correctness / incorrectness is counted, and the correctness / incorrectness determination result of the answer and the correct answer are displayed on the display device 14. If the answer is correct, the correct answer need not be displayed.
- the sound source selection control unit 11 controls the sound source signal unit 10 so as to present the next deteriorated noise voice again.
- the sound source selection control unit 11 repeats this operation until presentation of 10 words and sentences is completed.
- the sound source selection control unit 11 displays the correct answer rate obtained by dividing the counted correct answer count value by 10 on the display device 14.
- the sound source selection control unit 11 and the display device 14 also function as a correct / incorrect output unit for outputting correct / incorrect answers.
- the sound source selection control unit 11 may present the 10 tasks again and allow the user to confirm the tasks. In this way, the user can self-learn without an instructor.
- the sound source selection control unit 11 then starts a task program having an appropriate difficulty level according to the accuracy rate. For example, if the accuracy rate is 50% or higher, a task program with a difficulty level higher than the difficulty level of the task program performed immediately before is started, and if the accuracy rate is less than 50%, the task program performed just before is started. You may make it start the program of the subject of the difficulty level lower than the difficulty level of a program. In this case, it is assumed that the difficulty level is set in association with the assignment program.
- the voice When presenting the degraded noise voice, the voice may be displayed on the display device in characters. For example, it is possible to display a plurality of correct answers and a partially incorrect sentence that is easy to hear and close to the correct answer, and the user may input the number of what he / she thinks correct in the answer input unit 15.
- the selection of the bandpass filters in the bandpass filtering units 1 and 4, the selection and switching of the band frequency boundaries, and the selection and switching by the automatic language recognition unit described in the second embodiment are applied in the present embodiment. May be.
- the answer input unit may be a touch panel other than the keyboard, a mouse, or the like. In that case, the answer may be entered by selecting a character from a table with written characters.
- the user can voluntarily implement a blur prevention menu by the above-described game-type blur prevention device.
- Various game devices can be realized based on the configuration shown in FIG. First, the game title and difficulty level selection screen is displayed, and the player selects the difficulty level from the answer input section 15, and the sound source selection control section 11 receives the degraded noise sound of the words and sentences of the selected difficulty level. Select and present.
- the correct answer rate record and the number of correct answers will be displayed on the display device 14 during the game. If a high score is obtained, an interesting screen will appear as a reward on the display so that the player can enjoy it. It is possible to compete for how many questions are answered within a certain period of time and how many correct answers are given.
- the game device may be for a person with mild disabilities or a normal game device.
- the presentation content, presentation speed, and presentation screen can be appropriate. The willingness to obtain high scores can also be expected to further promote brain activation.
- the player may select the difficulty level of the game by operating the band selection unit 12.
- select the number of bandpass filters from 1 to 4. In the case of four, it is easier to discriminate the original words and sentences than in the case of one, so that the player with the game difficulty level can select.
- FIG. 4 is an example of a flowchart of a method for implementing the function of the anti-blurring device of the present invention.
- the input voice signal from the microphone of the anti-blurring device is AD converted, and preparations are made to pass the voice data to the bandpass filtering procedure (S12).
- This procedure is performed regularly thereafter.
- the band selection procedure (S11) the number of band frequencies of the band filtering performed by the subsequent band filtering procedures (S12) and (S14) and the boundary frequency of the band frequencies are changed or set as necessary. Perform this procedure when there is user interaction. If there is no operation, skip the procedure.
- the band filtering procedure (S12) the voice data is filtered based on the set number of band frequencies of the band filtering and the boundary frequency of the band frequencies.
- the envelope extraction procedure (S13) the envelope component data is extracted from the filtered voice data.
- the noise signal of white noise is filtered in accordance with the number of band frequencies of the band filtering set and the boundary frequency of the band frequency to generate band noise signal data.
- Envelope component data and The band noise signal data is multiplied in the next multiplication procedure (S15), and when there are a plurality of multiplication results for the bands, it is accumulated in the addition procedure (S16).
- the accumulated voice data is degraded noise voice data. This is DA converted in the signal presentation procedure (S17) and presented to the user from the earphone as an analog audio signal for listening.
- Each step of (S17) may be executed sequentially as shown in FIG. 4, or may be executed in parallel. These procedures can be implemented in the form of a digital signal processor (DSP) program.
- DSP digital signal processor
- the procedure from (S11) to (S16) constitutes the degraded noise speech creation procedure (S100). Further, (S14) may be performed before the procedures of (S12) and (S13).
- band selection procedure (S11) there is a language automatic recognition procedure such as Japanese, English, German, Chinese, etc., and the boundary frequency between the number of frequency bands suitable for the recognized language and the frequency band. May be selected. Since the automatic language recognition technique is a known technique, a detailed description thereof is omitted here.
- FIG. 5 is an example of a flowchart of a procedure for realizing the function of the game-type blur prevention device of the present invention.
- the sound source selection procedure (S20) data of a predetermined word or sentence to be presented is selected from the sound source signal data, and is given to the degraded noise voice creation procedure (S100).
- degraded noise voice creation procedure (S100) degraded noise voice data is created.
- degraded noise voice presentation procedure (S21) the created degraded noise voice data is converted into an analog voice signal and is heard by the user through headphones. Answer procedure (S
- the user inputs to the answer input unit 15 words and sentences that are recognized and understood by the deteriorated noise speech that has been heard.
- the evaluation device converts the input response data to the response evaluation procedure (S
- the input audio signal from the microphone is applied to the band-pass filter 1 via the input terminal 7, but the input audio signal contains an ambient noise component along with the audio component.
- the configuration shown in FIG. 6 may be used.
- the input audio signal applied to the input terminal 7 from the microphone is applied to the band-pass filtering unit 1 via the audio signal extracting unit 9.
- the audio signal extraction unit 9 has a function of extracting an audio signal from an input audio signal including ambient noise and the like.
- the audio signal extraction unit 9 is configured to suppress noise components other than the audio signal included in the input audio signal by using a technique such as spectral subtraction, for example.
- the audio signal extraction unit described in FIG. 9 may be applied to the bandpass filter 1 through 9.
- a game-type blur prevention device or game device in which one of the two people inputs a word or sentence from a microphone and the other hears the deteriorated noise voice and hits the original word or sentence. Then, since ambient noise may be mixed in, it is preferable to provide the audio signal extraction unit 9.
- FIG. 7 shows that the sound signal part 10 of the game-type blur prevention apparatus of FIG. 3 stores a signal obtained by converting the sound signal into degraded noise sound in advance and informs the user of the output signal through the headphones 13. Is.
- the degraded noise audio signal is composed and output by reading the stored degraded noise audio signal from the sound source signal unit 10. Therefore, the band filtering units 1 and 4, the envelope extraction unit 2, the multiplication unit 3, the noise source 5, the addition unit 6, and the band selection unit 12 shown in FIG.
- the game-type blur prevention device shown in FIG. 2 can have the same configuration.
- the number of band-pass filters of the band-pass filtering units 1 and 4 is four as a typical example, but the number is not limited to four, and may be four or less. If necessary, implement the number of bands as needed.
- the recording medium on which the program of the method for preventing blur according to the present invention is recorded refers to a recording medium such as a ROM, RAM, flexible disk, CD-ROM, DVD, memory card, or hard disk on which the program is recorded.
- the blur prevention method procedure program is, for example, as follows. That is, the program extracts, from the audio signal, a first filtering step for extracting a plurality of predetermined band signals and an envelope of each band signal extracted in the first filtering step. An envelope extraction step; a noise source signal power; a second filtering step for extracting a noise signal corresponding to the predetermined band; a signal extracted in the envelope extraction step; and a signal extracted in the second filtering step. For each band, and an addition step for accumulating each multiplication result in the multiplication step.
- the activity of various parts of the brain can be activated by using the blur prevention device and the blur prevention method according to the present invention, training centers, nursing care facilities, and medical facilities for the elderly and the elderly There is a possibility of use. It can be configured by a program and can be in the form of a game, so it can be easily installed in personal information terminals such as PDAs, mobile phones, home PCs, and home appliances.
- FIG. 1 is a block diagram of a blur prevention device according to an embodiment of the present invention.
- FIG. 2 is a block diagram of a game-type blur prevention device according to an embodiment of the present invention.
- FIG. 3 is a block diagram of a game-type blur prevention device according to an embodiment of the present invention.
- FIG. 4 is a flowchart showing the operation of the blur prevention apparatus according to the embodiment of the present invention.
- FIG. 5 is a flowchart showing the operation of the game-type blur prevention device according to one embodiment of the present invention.
- FIG. 6 is a block diagram of a blur prevention device according to an embodiment of the present invention.
- FIG. 7 is a block diagram of a game-type blur prevention device according to an embodiment of the present invention.
- Fig.8 Diagram showing an example of brain activity activation by degraded noise speech
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Abstract
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US10/583,717 US7729907B2 (en) | 2004-03-11 | 2005-02-21 | Apparatus and method for preventing senility |
DE112005000469T DE112005000469T5 (de) | 2004-03-11 | 2005-02-21 | Vorrichtung und Verfahren zum Verhindern von Senilität |
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JP2004068842A JP4035113B2 (ja) | 2004-03-11 | 2004-03-11 | ボケ防止装置 |
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JP (1) | JP4035113B2 (ja) |
CN (1) | CN1905919A (ja) |
DE (1) | DE112005000469T5 (ja) |
WO (1) | WO2005087301A1 (ja) |
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JP2007017572A (ja) | 2005-07-06 | 2007-01-25 | Rion Co Ltd | 外国語学習装置、外国語学習方法、外国語学習の記録媒体およびプログラム |
KR100735261B1 (ko) * | 2005-12-26 | 2007-07-03 | 삼성전자주식회사 | 휴대 단말기 및 그 단말기의 음성 데이터 출력 방법 |
TWI403304B (zh) | 2010-08-27 | 2013-08-01 | Ind Tech Res Inst | 隨身語能偵知方法及其裝置 |
US10111804B2 (en) * | 2015-09-22 | 2018-10-30 | Amchi Gendynamy Science Corporation | Dynamic recovery and therapy system |
CN107886965B (zh) * | 2017-11-28 | 2021-04-20 | 游密科技(深圳)有限公司 | 游戏背景音的回声消除方法 |
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US3784750A (en) * | 1972-02-25 | 1974-01-08 | Shalako Resource Systems | Apparatus and prosthetic device for providing electronic correction of auditory deficiencies for aurally handicapped persons |
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US5794188A (en) * | 1993-11-25 | 1998-08-11 | British Telecommunications Public Limited Company | Speech signal distortion measurement which varies as a function of the distribution of measured distortion over time and frequency |
US5754978A (en) * | 1995-10-27 | 1998-05-19 | Speech Systems Of Colorado, Inc. | Speech recognition system |
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US7110951B1 (en) * | 2000-03-03 | 2006-09-19 | Dorothy Lemelson, legal representative | System and method for enhancing speech intelligibility for the hearing impaired |
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CN1452110A (zh) | 2002-04-19 | 2003-10-29 | 英业达股份有限公司 | 无母语提示的多媒体外语造句表达训练系统及其方法 |
CA2452945C (en) * | 2003-09-23 | 2016-05-10 | Mcmaster University | Binaural adaptive hearing system |
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2004
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2005
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- 2005-02-21 CN CNA2005800015720A patent/CN1905919A/zh active Pending
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Patent Citations (3)
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JPH0670981A (ja) * | 1992-03-03 | 1994-03-15 | Kevin M Mcintyre | 模擬存在 |
JPH10244003A (ja) * | 1997-03-05 | 1998-09-14 | Hayashibara Biochem Lab Inc | 脳内活性化装置 |
JP2003107983A (ja) * | 2001-09-27 | 2003-04-11 | Tokai Dentsu:Kk | 痴呆防止システム |
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CN1905919A (zh) | 2007-01-31 |
US7729907B2 (en) | 2010-06-01 |
DE112005000469T5 (de) | 2007-01-25 |
JP4035113B2 (ja) | 2008-01-16 |
JP2005253655A (ja) | 2005-09-22 |
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