CN108199937A - A kind of intelligentized Furniture automatically controlled - Google Patents
A kind of intelligentized Furniture automatically controlled Download PDFInfo
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- CN108199937A CN108199937A CN201810132005.8A CN201810132005A CN108199937A CN 108199937 A CN108199937 A CN 108199937A CN 201810132005 A CN201810132005 A CN 201810132005A CN 108199937 A CN108199937 A CN 108199937A
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- 238000004891 communication Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000013139 quantization Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 244000269722 Thea sinensis Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004332 deodorization Methods 0.000 description 1
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- 239000011521 glass Substances 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
-
- 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
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
-
- 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
- G10L15/04—Segmentation; Word boundary detection
-
- 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
-
- 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
- G10L15/26—Speech to text systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
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- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Selective Calling Equipment (AREA)
Abstract
The present invention provides a kind of intelligentized Furniture automatically controlled, including intelligentized Furniture ontology, control system, speech recognition system, display module, switch unit and communication module, and devise the end-point detecting method of voice pretreatment unit, so as to which voice signal accurately be detected, premise is provided for follow-up accurately identification, so as to user-friendly intelligentized Furniture, provided conveniently for smart home.
Description
Technical field
The present invention relates to field of furniture, more particularly to a kind of intelligentized Furniture automatically controlled.
Background technology
Intelligentized Furniture product has broken the integrated mode of antique traditional furniture, has given full play to the subjective creativeness of user, shape
Size, integrated mode are no longer the calculations that Furniture manufacturing producer says, but user is according to personalized preference and the reality of domestic space
Situation, independent assortment are freely arranged in pairs or groups.We are by the way that furniture functions are split, blocking processing, each unit is exactly a production
Product, product can be superimposed by the arrangement of product and be combined.
Electronic intelligence refers to that implantation furniture is in the middle, it can be achieved that following function by the electronics technology product in current forward position:
1st, user is made easily can to carry out data exchange, data transmission, audio-visual broadcasting by mobile phone, tablet computer etc.;
2nd, the adjusting of LED lamplight can be realized by simple touch, is turned on and off.It is moved by the touch-control to desktop glass
Make to realize and the functions such as heat, make tea.
3rd, the functions such as unlatching, closing, deodorization, disinfection, the drying for realizing light are acted by simple switch gate.
Such as E＆N smart televisions cabinet on the market possesses network center and data center's function simultaneously.It only need to be by outer cable
Cable accesses cabinet for TV, you can realizes wireless WIFI network covering function.The up to wireless data hub of 1TB built-in simultaneously, can be square
Just the data by network-termination devices such as mobile phone, tablet computer, desktop computer, laptop, smart televisions backup to number
According to center, the data in data center also can be easily obtained.In the direct played data center of available television thousands of films or
The TV programme of reservation show the film and photo of oneself shooting.APP applications, the personal data of backup are obtained with mobile phone, computer
And address list, technical data, books etc..
But the product that is controlled on present society using speech recognition to furniture is simultaneously few, and popularization degree is also inadequate
Greatly.Speech recognition furniture there is presently no way large-scale popularization main the reason is that existing speech recognition algorithm not enough into
Ripe, discrimination and false recognition rate all have no idea to reach most intelligentized Furniture requirement, lead to the intelligentized Furniture of speech recognition
Poor-performing.
Invention content
In order to solve the above technical problem, the present invention provides a kind of intelligentized Furnitures automatically controlled.
A kind of intelligentized Furniture automatically controlled, including intelligentized Furniture ontology, control system, speech recognition system, display mould
Block, switch unit and communication module and the power cord being set in the intelligentized Furniture ontology, the control system, voice
Identifying system, display module, switch unit and communication module are connect respectively with power cord, and the intelligentized Furniture ontology, voice are known
Other system, display module, switch unit and communication module connect with control system and are controlled by the control system, wherein described
Speech recognition system includes sequentially connected speech signal collection unit, voice pretreatment unit, voice recognition unit and transmission
Unit, the switch unit are used for after external switch instruction is received, and the speech recognition system is controlled by control system
System is worked or in a dormant state.
The speech signal collection unit is used to acquire voice messaging, and collected voice messaging is sent to institute's predicate
Sound pretreatment unit；
The voice pretreatment unit carries out the voice messaging of reception pre-filtering, sampling, quantization, adding window, preemphasis, endpoint inspection
It surveys and obtains pretreated voice data, and the obtained pretreated voice data is sent to institute after denoising
Voice recognition unit is stated, wherein voice messaging denoising uses Kalman filter, and the Kalman filter is based on combining
The noise model of real time environment noise information removes noise；
The voice recognition unit includes feature extraction unit, comparing unit, output unit and storage unit, the storage unit
Voice data is compareed for storing,
The feature extraction unit is used to extracting the voice pretreatment unit phonetic feature ginseng in treated voice data
Numerical value generates voice data to be compared according to the speech characteristic parameter value；
The comparing unit is used to being compared with the voice data that compares and generating comparison result voice data to be compared,
The output unit is used for according to the comparison result, determines the corresponding voice meaning of the relatively voice data, and root
The voice messaging after corresponding identification is exported according to the voice meaning；
The transmission unit is by the transmission of speech information after the identification to control system；
Voice messaging after identification is parsed into corresponding control instruction by the control system, and by control instruction by communicating mould
Block is transferred to intelligentized Furniture ontology.
Further, temperature sensor and humidity sensor, the display mould are additionally provided on the intelligentized Furniture ontology
Block is connect with temperature sensor and humidity sensor, and shows indoor temperature and humidity.
Further, voice pretreatment unit performs preemphasis and includes：
By obtained voice sequence by preset preemphasis filter to eliminate the low-frequency disturbance in the voice sequence.
Voice pretreatment unit performs end-point detection and includes：Voice sequence after preemphasis is subjected to sub-frame processing；Pass through
First default detection algorithm judges to whether there is the starting endpoint of voice in per frame data；If in the presence of the starting of voice is obtained
Frame number where endpoint；Judge sequence in the frame number where the starting endpoint of the voice by the second default detection algorithm
It whether there is the termination end points of voice in every frame data later, if in the presence of the frame sequence where the termination end points of voice is obtained
Number.
Wherein described first default detection algorithm includes：For the frame data of each frame, the energy of the frame data is judged
Whether preset energy threshold is more than；The energy value is the quadratic sum of the absolute value of the sampled value of sampled point in frame data；If
It is then to calculate the Zero-crossing Number of the frame data, only when the symbol of two neighbouring sample points in the frame data is opposite and width
When being worth absolute value of the difference more than zero passage threshold value, there is a zero passage in judgement；It is default further to judge whether the Zero-crossing Number is more than
Zero-crossing Number threshold value, if so, judging that there are the starting endpoints of voice in the frame data.
The second default detection algorithm includes：For the frame data of each frame, judge the frame data energy whether
More than preset adaptive energy threshold value；The energy value is the quadratic sum of the absolute value of the sampled value of sampled point in frame data；
The adaptive energy threshold value is the first energy threshold, the second energy threshold, third energy threshold, the 4th energy threshold and the 5th
The weighted average of energy threshold；If so, the frame data include the termination end points of voice.
Wherein, first energy threshold is 1/10th of maximum short-time energy；Second energy threshold is in short-term
/ 10th of the median of energy；The third energy threshold is ten times of minimum short-time energy；4th energy threshold
Four times of short-time energy for first frame；5th energy threshold is seven times of the average short-time energy of first three frame；
The maximum short-time energy, the median of short-time energy and minimum short-time energy are all from preset voice training collection；Institute
Number of speech frames that the 4th energy threshold and the 5th energy threshold are being handled instantly with voice pretreatment unit is stated according to related.
Further, first energy threshold, the second energy threshold, third energy threshold, the 4th energy threshold and
The correspondence weights of five energy thresholds are automatically adjusted according to the training result of the voice training collection.
The beneficial effects of the invention are as follows：The present invention provides a kind of intelligentized Furniture automatically controlled, including intelligentized Furniture ontology,
Control system, speech recognition system, display module, switch unit and communication module, and devise the end of voice pretreatment unit
Point detecting method so as to which voice signal accurately be detected, provides premise, so as to facilitate user for follow-up accurately identification
Using intelligentized Furniture, provided conveniently for smart home.
Description of the drawings
Fig. 1 is a kind of structure diagram of intelligentized Furniture automatically controlled of the present invention；
Fig. 2 is the structure diagram of the speech recognition system of the present invention；
Fig. 3 is the structure diagram of the voice recognition unit of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made below in conjunction with attached drawing 1-3 into
One step it is described in detail.
A kind of intelligentized Furniture automatically controlled, including intelligentized Furniture ontology 1, control system 2, speech recognition system 3, display
Module 4, switch unit 5 and communication module 6 and the power cord being set in the intelligentized Furniture ontology, the control system,
Speech recognition system, display module, switch unit and communication module are connect respectively with power cord, the intelligentized Furniture ontology, language
Sound identifying system, display module, switch unit and communication module connect with control system and are controlled by the control system, wherein
The speech recognition system 3 includes sequentially connected speech signal collection unit 31, voice pretreatment unit 32, speech recognition list
Member 33 and transmission unit 34, the switch unit is used for after external switch instruction is received, by control system to control
Speech recognition system is stated to be worked or in a dormant state.
The speech signal collection unit is used to acquire voice messaging, and collected voice messaging is sent to institute's predicate
Sound pretreatment unit；
The voice pretreatment unit carries out the voice messaging of reception pre-filtering, sampling, quantization, adding window, preemphasis, endpoint inspection
It surveys and obtains pretreated voice data, and the obtained pretreated voice data is sent to institute after denoising
Voice recognition unit is stated, wherein voice messaging denoising uses Kalman filter, and the Kalman filter is based on combining
The noise model of real time environment noise information removes noise；
The voice recognition unit 33 includes feature extraction unit 331, comparing unit 332, output unit 333 and storage unit
334, the storage unit compares voice data for storing,
The feature extraction unit is used to extracting the voice pretreatment unit phonetic feature ginseng in treated voice data
Numerical value generates voice data to be compared according to the speech characteristic parameter value；
The comparing unit is used to being compared with the voice data that compares and generating comparison result voice data to be compared,
The output unit is used for according to the comparison result, determines the corresponding voice meaning of the relatively voice data, and root
The voice messaging after corresponding identification is exported according to the voice meaning；
The transmission unit is by the transmission of speech information after the identification to control system；
Voice messaging after identification is parsed into corresponding control instruction by the control system, and by control instruction by communicating mould
Block is transferred to intelligentized Furniture ontology.
Further, temperature sensor and humidity sensor, the display mould are additionally provided on the intelligentized Furniture ontology
Block is connect with temperature sensor and humidity sensor, and shows indoor temperature and humidity.
Further, voice pretreatment unit performs preemphasis and includes：
By obtained voice sequence by preset preemphasis filter to eliminate the low-frequency disturbance in the voice sequence.
Voice pretreatment unit performs end-point detection and includes：Voice sequence after preemphasis is subjected to sub-frame processing；Pass through
First default detection algorithm judges to whether there is the starting endpoint of voice in per frame data；If in the presence of the starting of voice is obtained
Frame number where endpoint；Judge sequence in the frame number where the starting endpoint of the voice by the second default detection algorithm
It whether there is the termination end points of voice in every frame data later, if in the presence of the frame sequence where the termination end points of voice is obtained
Number.
Wherein described first default detection algorithm includes：For the frame data of each frame, the energy of the frame data is judged
Whether preset energy threshold is more than；The energy value is the quadratic sum of the absolute value of the sampled value of sampled point in frame data；If
It is then to calculate the Zero-crossing Number of the frame data, only when the symbol of two neighbouring sample points in the frame data is opposite and width
When being worth absolute value of the difference more than zero passage threshold value, there is a zero passage in judgement；It is default further to judge whether the Zero-crossing Number is more than
Zero-crossing Number threshold value, if so, judging that there are the starting endpoints of voice in the frame data.
The second default detection algorithm includes：For the frame data of each frame, judge the frame data energy whether
More than preset adaptive energy threshold value；The energy value is the quadratic sum of the absolute value of the sampled value of sampled point in frame data；
The adaptive energy threshold value is the first energy threshold, the second energy threshold, third energy threshold, the 4th energy threshold and the 5th
The weighted average of energy threshold；If so, the frame data include the termination end points of voice.
Wherein, first energy threshold is 1/10th of maximum short-time energy；Second energy threshold is in short-term
/ 10th of the median of energy；The third energy threshold is ten times of minimum short-time energy；4th energy threshold
Four times of short-time energy for first frame；5th energy threshold is seven times of the average short-time energy of first three frame；
The maximum short-time energy, the median of short-time energy and minimum short-time energy are all from preset voice training collection；Institute
Number of speech frames that the 4th energy threshold and the 5th energy threshold are being handled instantly with voice pretreatment unit is stated according to related.
Further, first energy threshold, the second energy threshold, third energy threshold, the 4th energy threshold and
The correspondence weights of five energy thresholds are automatically adjusted according to the training result of the voice training collection.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent variations made according to the claims of the present invention, is still within the scope of the present invention.
Claims (9)
1. a kind of intelligentized Furniture automatically controlled, it is characterised in that：Including intelligentized Furniture ontology, control system, speech recognition system
System, display module, switch unit and communication module and the power cord being set in the intelligentized Furniture ontology, the control
System, speech recognition system, display module, switch unit and communication module are connect respectively with power cord, the intelligentized Furniture sheet
Body, speech recognition system, display module, switch unit and communication module connect with control system and are controlled by the control system
System, wherein the speech recognition system includes sequentially connected speech signal collection unit, voice pretreatment unit, speech recognition
Unit and transmission unit, the switch unit are used for after external switch instruction is received, and are controlled by control system described
Speech recognition system is worked or in a dormant state.
2. a kind of intelligentized Furniture automatically controlled according to claim 1, it is characterised in that：
The speech signal collection unit is for acquiring voice messaging, and it is pre- that collected voice messaging is sent to the voice
Processing unit；
The voice pretreatment unit carries out the voice messaging of reception pre-filtering, sampling, quantization, adding window, preemphasis, endpoint inspection
It surveys and obtains pretreated voice data, and the obtained pretreated voice data is sent to institute after denoising
State voice recognition unit；
The voice recognition unit is used to carry out voice recognition processing, the speech recognition to pretreated voice data
Unit includes feature extraction unit, comparing unit, output unit and storage unit,
The storage unit compares voice data for storing,
The feature extraction unit is used to extracting the voice pretreatment unit phonetic feature ginseng in treated voice data
Numerical value generates voice data to be compared according to the speech characteristic parameter value；
The comparing unit is used to being compared with the voice data that compares and generating comparison result voice data to be compared,
The output unit is used for according to the comparison result, determines the corresponding voice meaning of the relatively voice data, and root
The voice messaging after corresponding identification is exported according to the voice meaning；
The transmission unit is by the transmission of speech information after the identification to control system；
Voice messaging after identification is parsed into corresponding control instruction by the control system, and by control instruction by communicating mould
Block is transferred to intelligentized Furniture ontology.
3. a kind of intelligentized Furniture automatically controlled according to claim 1, which is characterized in that on the intelligentized Furniture ontology
Temperature sensor and humidity sensor are additionally provided with, the display module is connect with temperature sensor and humidity sensor, and is shown
Show indoor temperature and humidity.
4. a kind of intelligentized Furniture automatically controlled according to claim 1, which is characterized in that voice pretreatment unit performs
Preemphasis includes：
By obtained voice sequence by preset preemphasis filter to eliminate the low-frequency disturbance in the voice sequence.
5. a kind of intelligentized Furniture automatically controlled according to claim 1, which is characterized in that voice pretreatment unit performs
End-point detection includes：
Voice sequence after preemphasis is subjected to sub-frame processing；
With the presence or absence of the starting endpoint of voice in being judged by the first default detection algorithm per frame data；If in the presence of language is obtained
Frame number where the starting endpoint of sound；
Every frame number of the sequence after the frame number where the starting endpoint of the voice is judged by the second default detection algorithm
It whether there is the termination end points of voice in, if in the presence of the frame number where the termination end points of voice is obtained.
6. a kind of intelligentized Furniture automatically controlled according to claim 5, which is characterized in that the described first default detection is calculated
Method includes：
For the frame data of each frame, judge whether the energy of the frame data is more than preset energy threshold；The energy value
Quadratic sum for the absolute value of the sampled value of sampled point in frame data；
If so, the Zero-crossing Number of the frame data is calculated, only when the symbol of two neighbouring sample points in the frame data is opposite
And when amplitude absolute value of the difference is more than zero passage threshold value, there is a zero passage in judgement；
Judge whether the Zero-crossing Number is more than preset Zero-crossing Number threshold value, if so, judging that there are voices in the frame data
Starting endpoint.
7. a kind of intelligentized Furniture automatically controlled according to claim 6, which is characterized in that the described second default detection is calculated
Method includes：
For the frame data of each frame, judge whether the energy of the frame data is more than preset adaptive energy threshold value；It is described
Energy value is the quadratic sum of the absolute value of the sampled value of sampled point in frame data；The adaptive energy threshold value is the first energy cut-off
The weighted average of value, the second energy threshold, third energy threshold, the 4th energy threshold and the 5th energy threshold；
If so, the frame data include the termination end points of voice.
8. a kind of intelligentized Furniture automatically controlled according to claim 7, it is characterised in that：
First energy threshold is 1/10th of maximum short-time energy；
Second energy threshold is 1/10th of the median of short-time energy；
The third energy threshold is ten times of minimum short-time energy；
4th energy threshold is four times of the short-time energy of first frame；
5th energy threshold is seven times of the average short-time energy of first three frame；
The maximum short-time energy, the median of short-time energy and minimum short-time energy are all from preset voice training collection；Institute
Number of speech frames that the 4th energy threshold and the 5th energy threshold are being handled instantly with voice pretreatment unit is stated according to related.
9. a kind of intelligentized Furniture automatically controlled according to claim 8, it is characterised in that：
First energy threshold, the second energy threshold, third energy threshold, the 4th energy threshold and the 5th energy threshold pair
Weights is answered to be automatically adjusted according to the training result of the voice training collection.
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| CN201810132005.8A CN108199937A (en) | 2018-02-09 | 2018-02-09 | A kind of intelligentized Furniture automatically controlled |
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| CN110737225A (en) * | 2019-11-04 | 2020-01-31 | 嘉兴职业技术学院 | WIFI internet of things intelligent magnetic device based on MQTT |
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