CN1564245A - Stunt method and device for baby's crying - Google Patents
Stunt method and device for baby's crying Download PDFInfo
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- CN1564245A CN1564245A CNA200410017760XA CN200410017760A CN1564245A CN 1564245 A CN1564245 A CN 1564245A CN A200410017760X A CNA200410017760X A CN A200410017760XA CN 200410017760 A CN200410017760 A CN 200410017760A CN 1564245 A CN1564245 A CN 1564245A
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- vagitus
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 206010011469 Crying Diseases 0.000 title description 5
- 238000007619 statistical method Methods 0.000 claims abstract description 3
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 230000002996 emotional effect Effects 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 230000003321 amplification Effects 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 5
- 206010013954 Dysphoria Diseases 0.000 claims description 4
- 239000013078 crystal Substances 0.000 claims description 2
- 230000006870 function Effects 0.000 claims description 2
- 239000003990 capacitor Substances 0.000 claims 6
- 230000008451 emotion Effects 0.000 abstract 3
- 235000003642 hunger Nutrition 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 6
- 239000000284 extract Substances 0.000 description 4
- 230000036651 mood Effects 0.000 description 3
- 238000004088 simulation Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000002386 leaching Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
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Abstract
Emotion states of babe cry are divided into six states: hunger, discomfort, fatigue, scare, fidget, ill and ache through method of statistical analysis, and relevant file base of cry eigenvalue is built. Comparing current cry with file base of cry eigenvalue determines emotion states from current cry. The device includes microphone, voice input circuit, CPU, voice output circuit, keyboard, sample base etc. With information of cry being input to microphone, converting analog signal to digital signal, CPU picks up eigenvalues and compares the eigenvalues with sample base so as to determine emotion states.
Description
Technical field
The invention belongs to the speech recognition technology field, be specifically related to a kind of method and the device that can understand vagitus.
Background technology
Baby's one birth will be sent crying of a child sob.Crying is the only mode that the baby expresses, and is a kind of special " language ", and different sobs can be expressed the different purpose requirement of baby.Can be grown up and generally can not explain the reason of baby crying exactly, can not understand the demand that baby crying reacts, cause inconsiderate to Baby Care, treatment unavoidably like this, also may cause misunderstanding sometimes, be unfavorable for growing up healthy and sound of baby.Therefore people wish and can understand vagitus, so that can help the especially young mother of adult that vagitus is judged.
Summary of the invention
The objective of the invention is to propose a kind of method and apparatus that can understand vagitus,, nurse, take care of the baby better so that help the adult to judge baby's mood and demand.
The vagitus deciphering method that the present invention proposes, its step is to set up vagitus sample storehouse earlier, it specifically is the utilization statistical analysis technique, the waveform character of the different emotional states of baby that sob reacts is summarized in summary, forms vagitus eigenwert library file, is stored in the storer; Then, current vagitus is discerned, specifically be vagitus input microphone, to simulate the sob conversion of signals by central processing unit and become digital signal, and extraction eigenwert, the eigenwert in this eigenwert and sob sample storehouse is compared, find out close sample, thereby obtain the emotional state that current vagitus reacts.
Among the present invention, the emotional state that vagitus reacted can be divided into 6 kinds, promptly hungry, uncomfortable, tired, scaring, dysphoria, sick pain etc., and its corresponding waveform is shown in (a) and (b), (c), (d), (e), (f) among Fig. 7.
Vagitus eigenwert of the present invention, employing be the envelope of sob waveform.
According to above-mentioned vagitus deciphering method, the present invention has designed and has separated read apparatus accordingly, this device is connected to form through circuit by microphone, speech iput circuit, central processing unit, supervisory keyboard, sample storehouse, LCD, language output circuit, loudspeaker, and structured flowchart is seen shown in Figure 1.Wherein, central processing unit 1 is the core, and microphone 2, speech iput circuit 3 are connected with central processing unit 1 successively, and sob enters speech iput circuit from the microphone input, and through filtering and processing and amplifying, the sob signal enters central processing unit; Keyboard 6 is connected with central processing unit with sample storehouse 7, and keyboard 6 is provided with 6 function keys: acknowledgement key (enter), cancel key (cancel) and last (up), following (down), a left side (right), right (left) 4 navigation keys.Be used to control the state of central processing unit, sample library storage vagitus eigenwert file; Central processing unit 1 is connected with LCD 8 with voice output circuit 4, and voice output circuit 4 is connected with loudspeaker 5 again.Central processing unit 1 carries out the AD conversion with the sob signal that receives, and obtains the digital signal of sound, and extracts the eigenwert of sob, and the eigenwert in this eigenwert and the sample storehouse is compared, and obtains recognition result.This result can show on LCD 8 by mode word, perhaps by voice output circuit 4, after filtering and amplifying, is broadcasted by loudspeaker 5 with voice mode.
The present invention can help father and mother that vagitus is judged, increases father and mother and baby's interaction so that can in time, accurately understand baby's emotional state, more science, reasonably the baby is taken care of and nurses.
Description of drawings
This vagitus of Fig. 1 is understood the principle of device block diagram.
Fig. 2 keyboard circuit schematic diagram.
Fig. 3 speech iput circuit schematic diagram.
Fig. 4 central processing unit circuit theory diagrams.
Fig. 5 voice output circuit theory diagrams.
Fig. 6 eigenwert leaching process figure.
Fig. 7 is the oscillogram of sob.Wherein (a) is hungry, is uncomfortable (b), (c) is tired, (d) is scaring, is irritated (e), (f) is sick pain.
Fig. 8 is the shape assumption diagram of vagitus plug-in reader.
Number in the figure: 1 is central processing unit, and 2 is microphone, and 3 is speech iput circuit, and 4 is the voice output circuit, and 5 is loudspeaker, and 6 is keyboard, and 7 is the sample storehouse, and 8 is LCD, 9 battery cases.
Embodiment
The present invention to vagitus sample storehouse to set up process as follows: to more than 300 babies of 1 month to 12 months, carry out following the tracks of in 24 hours recording, last the time of a year and a half, 1500 effective vagitus files have been recorded, and these 1500 effective sob files are carried out wave form analysis, summary is sorted out and is 6 kinds of moods such as hungry, uncomfortable, tired, scaring, dysphoria, sick pain, and its waveform is seen shown in Figure 7.Category is handled respectively then, generates sob eigenwert library file.The sample storehouse is by totally 6 big classes, and the eigenwert of 1500 vagitus is formed, and each vagitus file generates an eigenwert file, and the set of 1500 eigenwert files is exactly the sample storehouse of a vagitus.As shown in Figure 6, each effective vagitus file extracts the eigenwert file, needs 3 steps, 1) recording, 2) processing of 16bit data, 3) extraction of eigenwert.Recording is to more than 300 babies of 1 month to 12 months, carries out following the tracks of recording in 24 hours, forms 1500 present effective vagitus texts.After recording 1500 effective vagitus, the sob file is handled, the waveform of sob is repaired, last, trimmed recording is carried out the extraction of eigenwert.After 1500 vagitus of totally 6 big classes were handled, sample of the present invention storehouse had just been set up, and was stored in the storer of outside, called comparison during for identification.
The process that vagitus file characteristic value is extracted is exactly the process that the sample storehouse is set up.
Speech recognition process of the present invention, be after microphone input sob, central processing unit is the sob signal of simulation, convert digital quantity to, and extract eigenwert, this eigenwert and sample storehouse eigenwert are compared, and find out the most close sample, and the mood that draws current baby is a kind of result in hungry, uncomfortable, tired, scaring, dysphoria, the sick pain.So far, identifying finishes.
The data layout of sob eigenwert of the present invention is as follows:
| File?ID | ?Length | ?Sep[0][0] | ?Sep[0][1] | … | ?Sep[0][9] | ?Sep[1][0] | … | ?Sep[n][9] |
| 2bytes | ?2bytes | ?2bytes | ?2bytes | ?2bytes | ?2bytes | ?2bytes |
Header：4bytes
Data：length×20bytes
File?ID：File?ID(0x2033)
Length：number?of?frames(n+1)
As shown in Figure 2, be the keyboard of apparatus of the present invention, have 6 keys, be specially enter, cancel, up, down, right, left key.Enter is an acknowledgement key, and cancel is a cancel key, and other several keys are respectively upper and lower, left and right key, i.e. navigation key.
As shown in Figure 3, be the sound input circuit of contrive equipment, adopt the microphone input.JP1 among Fig. 3 is a microphone, and R26, C32, R25, C33, R27, R28 form ac-coupled circuit.Wherein R26, C33 form the one-level low-pass filter, to the noise-filtering of supply voltage generation.The resistance of R25 (5.6K) has had 3.7 times gain with the ratio of the internal resistance (1.5K) of microphone oneself, and the one, reduce current power dissipation, moreover be the burden that alleviates the next stage amplifying circuit.C33, R27, R28 have then formed Hi-pass filter, are 70Hz by frequency.Wherein C34, C35, R29, R30, U6A form the microphone signal amplifying unit.R30/R29+1 gain doubly.The resistance of R30 is adjustable, can reach 500K at most, i.e. 500 times gain.Wherein, C34, R29 form the one-level high-pass filtering, are 150Hz by frequency.R31, R32, C37, R33, R34, C38, C39, U6B, R35, C40 have formed 4 grades of low-pass filters, the above frequency of excision 3.5KHz.C41, R36, R37, C42, R38, C43, R39, U7B form the AC signal amplifying unit.R39/R38+1 gain doubly, R39 can reach 100K at most, i.e. 10 multiplication benefits.C44, R40, R41 form Hi-pass filter, are 500Hz by frequency.C44 is adjustable, and 3300pF is 300Hz by frequency, and 4800pF is 250Hz by frequency.So far, voice signal is input to the AD0 end among Fig. 4.
As shown in Figure 4, being central processing unit of the present invention, is the whole heart of separating read apparatus.2 crystal oscillating circuits of height, 4 input/output ports, 2 input ports, 24 address wires, 16 data lines are arranged.Central processing unit U1 is 32 bit CPUs, adopt the S1C33209 chip, it receives voice signal, after the AD conversion, is the speech simulation conversion of signals audio digital signal, and extracts eigenwert, and this eigenwert is compared with the eigenwert in the sample storehouse, draw recognition result, by PWM Main and the PWM Sub pin output sound signal of U1 among Fig. 4.
As shown in Figure 5, be sound out-put circuit of the present invention, the R14 among the figure, R15, R16, C23, R17, R18, C24, R19, R20, C25, C26, U4A, R21, C27 form the low-pass filter of 16KHz sample frequency.C28, C29, R22, R23, R24, C30, C31, U5 have formed power amplification circuit, and finally by LS1 loudspeaker plays suggestion voice.R24/R22 is the power amplification multiple.
LCD among the present invention can adopt conventional product.
The contour structures of apparatus of the present invention can design shape as shown in Figure 8.Its positive upside is a battery case 9, and the centre is a LCD 8, and downside is followed successively by loudspeaker 5, keyboard 6, microphone 2 from left to right.
Claims (7)
1, a kind of vagitus deciphering method, it is characterized in that step is as follows: setting up vagitus sample storehouse earlier, specifically is the utilization statistical analysis technique, sums up the waveform character summarize the different emotional states of baby that sob reacts, form vagitus eigenwert library file, be stored in the storer; Then, current vagitus is discerned, specifically be vagitus input microphone, to simulate the sob conversion of signals by central processing unit and become digital signal, and extraction eigenwert, the eigenwert in this eigenwert and sob sample storehouse is compared, find out close sample, thereby obtain the emotional state that current vagitus reacts.
2, vagitus deciphering method according to claim 1 is characterized in that the emotional state of said vagitus reaction is divided into 6 kinds: hungry, uncomfortable, tired, scaring, dysphoria, sick pain.
3, vagitus deciphering method according to claim 1, what it is characterized in that said sob eigenwert employing is the envelope of sob waveform.
4, a kind of device for carrying out said of the deciphering method of vagitus according to claim 1, it is characterized in that connecting to form through circuit by microphone, speech iput circuit, central processing unit, supervisory keyboard, sample storehouse, LCD, language output circuit, loudspeaker, microphone (2), speech iput circuit (3) are connected with central processing unit (1) successively, sob enters speech iput circuit from the microphone input, through filtering and processing and amplifying, the sob signal enters central processing unit; Keyboard (6) is connected with central processing unit with sample storehouse (7), and keyboard 6 is provided with 6 function keys: acknowledgement key, 4 navigation keys of cancel key and upper and lower, left and right are used to control the state of central processing unit, sample library storage vagitus eigenwert file; Central processing unit (1) is connected with LCD (8) with voice output circuit (4) respectively, voice output circuit (4) is connected with loudspeaker again, central processing unit (1) carries out the AD conversion with the sob signal that receives, obtain the digital signal of sound, and the eigenwert of extraction sob, eigenwert in this eigenwert and the sample storehouse is compared, obtain recognition result, this result can show on LCD (8) by mode word, perhaps by voice output circuit (4), after filtering and amplifying, broadcast by loudspeaker (5) with voice mode.
5, vagitus according to claim 4 is separated read apparatus, it is characterized in that speech iput circuit (3) is made up of ac-coupled circuit, microphone signal amplifying unit, low-pass filter, AC signal amplifying unit; Wherein resistance R 26, R27, R28 and capacitor C 32, C33 form ac-coupled circuit; Resistance R 29, R30 and capacitor C 34, C35 and amplifier U6A form the microphone signal amplifying unit; Resistance R 31, R32, R33, R34, R35 and capacitor C 37, C38, C39, C40 and U6B form 4 grades of low-pass filters; Resistance R 36, R37, R38, R39 and capacitor C 41, C42, C43 and U713 form the AC signal amplifying unit.
6, vagitus according to claim 4 is separated read apparatus, it is characterized in that said central processing unit (1) has 2 crystal oscillating circuits of height, 4 input/output ports, 2 input ports, 24 address wires, 16 data lines; Central processing unit U1 is 32 bit CPUs, adopts the S1C33209 chip.
7, vagitus according to claim 4 is separated read apparatus, it is characterized in that voice output circuit (4) is made up of low-pass filter and power amplification circuit, wherein form low-pass filter by resistance R 14, R15, R16, R17, R18, R19, R20, R21 and capacitor C 23, C24, C25, C26, C27, form power amplification circuit by resistance R 22, R23, R24 and capacitor C 28, C29, C30, C31 and U5, R24/R22 is the power amplification multiple.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200410017760XA CN1564245A (en) | 2004-04-20 | 2004-04-20 | Stunt method and device for baby's crying |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA200410017760XA CN1564245A (en) | 2004-04-20 | 2004-04-20 | Stunt method and device for baby's crying |
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| Publication Number | Publication Date |
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| CN1564245A true CN1564245A (en) | 2005-01-12 |
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| CNA200410017760XA Pending CN1564245A (en) | 2004-04-20 | 2004-04-20 | Stunt method and device for baby's crying |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101518402A (en) * | 2008-12-31 | 2009-09-02 | 上海序参量科技发展有限公司 | Digital early education children vehicle and using method thereof |
| CN101807396A (en) * | 2010-04-02 | 2010-08-18 | 陕西师范大学 | Device and method for automatically recording crying of babies |
| CN102551417A (en) * | 2012-01-04 | 2012-07-11 | 河南科技大学 | Intelligent baby rocking and placating control system |
| CN102854806A (en) * | 2011-06-27 | 2013-01-02 | 承德国际香港有限公司 | Micro-processing device control system and method of use |
| CN103426438A (en) * | 2012-05-25 | 2013-12-04 | 洪荣昭 | Method and system for analyzing baby crying |
| CN104253915A (en) * | 2013-06-25 | 2014-12-31 | 联想(北京)有限公司 | Information acquisition method and equipment |
| CN104248442A (en) * | 2013-06-28 | 2014-12-31 | 昆山研达电脑科技有限公司 | Infant emotion analysis device and implementation method thereof |
| CN104984472A (en) * | 2015-06-24 | 2015-10-21 | 广州三瑞医疗器械有限公司 | Speech recognition-based analgesia control method and device thereof |
| CN105118518A (en) * | 2015-07-15 | 2015-12-02 | 百度在线网络技术（北京）有限公司 | Sound semantic analysis method and device |
| CN105719663A (en) * | 2014-12-23 | 2016-06-29 | 郑载孝 | Baby cry analyzing method |
| CN105761720A (en) * | 2016-04-19 | 2016-07-13 | 北京地平线机器人技术研发有限公司 | Interaction system based on voice attribute classification, and method thereof |
| CN107657963A (en) * | 2016-07-25 | 2018-02-02 | 韦创科技有限公司 | Cry identification system and crying identification method |
| CN107657965A (en) * | 2017-09-22 | 2018-02-02 | 许灿丽 | Vagitus identifier and knowledge method for distinguishing |
| CN107886953A (en) * | 2017-11-27 | 2018-04-06 | 四川长虹电器股份有限公司 | A kind of vagitus translation system based on expression and speech recognition |
| CN108335704A (en) * | 2017-01-19 | 2018-07-27 | 晨星半导体股份有限公司 | Baby crying detection circuit and related detection method |
| CN109008961A (en) * | 2018-06-21 | 2018-12-18 | 郑州云海信息技术有限公司 | Infant's assisted care method, equipment, system, service centre and storage medium |
| CN109065034A (en) * | 2018-09-25 | 2018-12-21 | 河南理工大学 | A kind of vagitus interpretation method based on sound characteristic identification |
| CN109065074A (en) * | 2018-09-25 | 2018-12-21 | 河南理工大学 | A kind of baby's speech sound translater |
| CN109346058A (en) * | 2018-11-29 | 2019-02-15 | 西安交通大学 | A System for Enlarging Speech Acoustic Features |
| CN109841229A (en) * | 2019-02-24 | 2019-06-04 | 复旦大学 | A kind of Neonate Cry recognition methods based on dynamic time warping |
-
2004
- 2004-04-20 CN CNA200410017760XA patent/CN1564245A/en active Pending
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101518402A (en) * | 2008-12-31 | 2009-09-02 | 上海序参量科技发展有限公司 | Digital early education children vehicle and using method thereof |
| CN101807396A (en) * | 2010-04-02 | 2010-08-18 | 陕西师范大学 | Device and method for automatically recording crying of babies |
| CN102854806A (en) * | 2011-06-27 | 2013-01-02 | 承德国际香港有限公司 | Micro-processing device control system and method of use |
| CN102551417A (en) * | 2012-01-04 | 2012-07-11 | 河南科技大学 | Intelligent baby rocking and placating control system |
| CN103426438B (en) * | 2012-05-25 | 2015-12-09 | 洪荣昭 | Method and system for analyzing baby crying |
| CN103426438A (en) * | 2012-05-25 | 2013-12-04 | 洪荣昭 | Method and system for analyzing baby crying |
| CN104253915A (en) * | 2013-06-25 | 2014-12-31 | 联想(北京)有限公司 | Information acquisition method and equipment |
| CN104248442A (en) * | 2013-06-28 | 2014-12-31 | 昆山研达电脑科技有限公司 | Infant emotion analysis device and implementation method thereof |
| CN105719663A (en) * | 2014-12-23 | 2016-06-29 | 郑载孝 | Baby cry analyzing method |
| CN104984472A (en) * | 2015-06-24 | 2015-10-21 | 广州三瑞医疗器械有限公司 | Speech recognition-based analgesia control method and device thereof |
| CN104984472B (en) * | 2015-06-24 | 2018-08-21 | 广州三瑞医疗器械有限公司 | Analgesia control method based on speech recognition and its device |
| CN105118518A (en) * | 2015-07-15 | 2015-12-02 | 百度在线网络技术（北京）有限公司 | Sound semantic analysis method and device |
| CN105761720A (en) * | 2016-04-19 | 2016-07-13 | 北京地平线机器人技术研发有限公司 | Interaction system based on voice attribute classification, and method thereof |
| CN105761720B (en) * | 2016-04-19 | 2020-01-07 | 北京地平线机器人技术研发有限公司 | Interactive system and method based on voice attribute classification |
| CN107657963A (en) * | 2016-07-25 | 2018-02-02 | 韦创科技有限公司 | Cry identification system and crying identification method |
| CN108335704A (en) * | 2017-01-19 | 2018-07-27 | 晨星半导体股份有限公司 | Baby crying detection circuit and related detection method |
| CN107657965A (en) * | 2017-09-22 | 2018-02-02 | 许灿丽 | Vagitus identifier and knowledge method for distinguishing |
| CN107886953A (en) * | 2017-11-27 | 2018-04-06 | 四川长虹电器股份有限公司 | A kind of vagitus translation system based on expression and speech recognition |
| CN109008961A (en) * | 2018-06-21 | 2018-12-18 | 郑州云海信息技术有限公司 | Infant's assisted care method, equipment, system, service centre and storage medium |
| CN109065034A (en) * | 2018-09-25 | 2018-12-21 | 河南理工大学 | A kind of vagitus interpretation method based on sound characteristic identification |
| CN109065074A (en) * | 2018-09-25 | 2018-12-21 | 河南理工大学 | A kind of baby's speech sound translater |
| CN109065034B (en) * | 2018-09-25 | 2023-09-08 | 河南理工大学 | Infant crying translation method based on voice feature recognition |
| CN109346058A (en) * | 2018-11-29 | 2019-02-15 | 西安交通大学 | A System for Enlarging Speech Acoustic Features |
| CN109841229A (en) * | 2019-02-24 | 2019-06-04 | 复旦大学 | A kind of Neonate Cry recognition methods based on dynamic time warping |
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