CN107016993A - The voice interactive system and method for a kind of smart home - Google Patents
The voice interactive system and method for a kind of smart home Download PDFInfo
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- CN107016993A CN107016993A CN201710339134.XA CN201710339134A CN107016993A CN 107016993 A CN107016993 A CN 107016993A CN 201710339134 A CN201710339134 A CN 201710339134A CN 107016993 A CN107016993 A CN 107016993A
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- 230000005236 sound signal Effects 0.000 claims abstract description 39
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000012549 training Methods 0.000 claims abstract description 12
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 4
- 238000010183 spectrum analysis Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 3
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- 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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
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- 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
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/1822—Parsing for meaning understanding
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- 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
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- 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
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
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- 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
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/54—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for retrieval
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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
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- 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
- G10L2015/223—Execution procedure of a spoken command
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- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
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- Acoustics & Sound (AREA)
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Abstract
The invention discloses a kind of voice interactive system of smart home, it includes audio signal sample module, audio processing modules, voice training module, sound identification module, voice wake-up module, model fitting module, ADC modular converters, microprocessor, memory module, DAC modular converters and voice playing module；The step of methods described, is as follows：S1, collection voice audio signals；S2, judge whether voice audio signals wake up intelligent home device；S3, judge whether speech recognition match succeeds；S4, according to phonetic order complete task.The problem of other non-user voices are inputted to the garbled voice of intelligent home device can be effectively prevented by carrying out voice training formation phonetic memory to user；The maloperation problem caused when can effectively prevent that user is not desired to instruction intelligent home device by setting voice to wake up.
Description
Technical field
The present invention relates to the interactive voice system of the technical field of voice recognition of smart home, more particularly to a kind of smart home
System and method.
Background technology
With the development of science and technology, household electrical appliances are also more and more diversified, and traditional household electrical appliances are set by using remote control
Standby to be controlled, but increasing with household electrical appliances type, its remote control equipment is also more and more, the particularly seasonal air-conditioning used
Etc. equipment, but it is difficult to find when in use after often placing by remote control equipment when not in use, so seems extremely not square
Just.And in order that household electrical appliances it is more intelligent, increasing function is added in traditional household electrical appliances, once function increases it
Using just becoming more complicated, and thing is also easily forgotten in daily life because the elderly is older, to complex
Family is electrically operated to be difficult to or easily forgets.
But voice is for we links up the most convenient, fast, natural interpersonal communication means, by using the most natural
The means that voice is interacted with a computer as people, are enabled a computer to as people, with the ability listened, say and understood；Therefore it is logical
A kind of voice interactive method is crossed so that it is desirable that our operations of the daily life to intelligent home device, which becomes simpler, convenient,
The problem of consideration.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of voice interactive system of smart home and side
Method, solves the problem of inconvenience and old man operated in daily life to home appliance is difficult to operate.
The purpose of the present invention is achieved through the following technical solutions：A kind of voice interactive system of smart home, it
Including audio signal sample module, audio processing modules, voice training module, sound identification module, voice wake-up module, model
Matching module, ADC modular converters, microprocessor, memory module, DAC modular converters and voice playing module；
Described audio signal sample module is connected with audio processing modules, the audio signal sent for gathering user；
Described audio processing modules and voice training module and ADC conversions are connected, for by the voice audio signals collected
Carry out gain control and EQ regulations processing；
Described voice training module is connected with ADC modular converters, for realizing that the voice to user is trained to form voice
Memory convenient user speech next time wakes up intelligent home device when interacting；
Described ADC modular converters are connected with voice wake-up module and sound identification module, for audio processing modules to be handled
Analog signal afterwards is converted to data signal；
Described sound identification module is connected with model fitting module, for the voice audio signals collected to be identified simultaneously
Transfer signals to model fitting module；
Described voice wake-up module is connected with microprocessor, for the speech audio when user is using equipment by setting
Signal calls out intelligent home device；
Described model fitting module is connected with microprocessor, for believing after voice wakes up successfully the speech audio collected
Number matched, parse the implication of signal；
Described microprocessor is connected with memory module and DAC modular converters, for completing or holding according to voice audio signals
The corresponding instruction of row；
Described memory module is used for the voice audio signals waken up to equipment, the phonetic order and semantic word that perform or complete
Yi Ku is stored；
Described DAC modular converters are connected with voice playing module, and the data signal that microprocessor is exported is converted to mould by user
Intend signal, and played out by voice playing module.
Described model fitting module includes speech model matching unit and acoustics Model Matching unit；Described voice mould
Type matching unit and acoustics Model Matching unit are waken up by the sound pronunciation dictionary in speech model and acoustic model in voice
After success the voice audio signals that collect are parsed into Chinese character, and is identified with the semantic meaning of a word storehouse in memory module
Match somebody with somebody.
System can be trained to form phonetic memory to the voice of multiple users, facilitate multiple users can be by voice
Interaction allows intelligent home device to perform corresponding instruction.
The step of a kind of exchange method of the voice interactive system of smart home, methods described, is as follows：
S1, collection voice audio signals；
S2, judge whether voice audio signals wake up intelligent home device；
S3, judge whether speech recognition match succeeds；
S4, according to phonetic order complete task.
The S2's comprises the following steps that：
S21, voice wake-up carried out according to pre-set wake-up word；
If S22, wake up successfully, carry out phonetic order content matching；
If S23, wake-up are unsuccessful, voice reminder is carried out by voice broadcast module, voice is resurveyed and wakes up word.
The S3's comprises the following steps that：
S31, the pronunciation to phonetic order content are identified and entered with the sound pronunciation dictionary in speech model and acoustic model
Row is matched one by one, by the Context resolution in phonetic order into hanzi form；
In S32, the instruction for being able to carry out the semantic meaning of a word storehouse in the Chinese phrase and memory module that parse and smart machine
Matching is identified in appearance, parses the real meaning of instruction；
Whether S33, decision instruction are performed succeeds.
The S21's comprises the following steps that：
S211, the voice wake-up word progress spectrum analysis to collecting；
S212, word is waken up to tone color, tonequality and tone and the voice that pre-sets carry out contrast and match.
The S33's comprises the following steps that：
If S331, instruction run succeeded, reported by voice broadcast module；
If S332, instruction execution are unsuccessful, user is reminded to reaffirm instruction by voice broadcast module.
Also include being trained the step of forming phonetic memory to user speech before first time assignment instructions are performed.
User speech is trained and to form phonetic memory and comprises the following steps that：
A1, user's alignment audio signal sample module carry out 3-5 same phonetic entry；
A2, the user speech audio signal progress spectrum analysis to collecting, and the memory of tone color, tonequality and tone confirm；
A3, by the user speech trained formation memory deposit memory module in.
The beneficial effects of the invention are as follows：The voice interactive system and method for a kind of smart home, by carrying out language to user
Sound, which is trained, to be formed phonetic memory and can effectively prevent other non-user voices asking to the input of the garbled voice of intelligent home device
Topic；The maloperation problem caused when can effectively prevent that user is not desired to instruction intelligent home device by setting voice to wake up.
Brief description of the drawings
Fig. 1 is the structure chart of system；
Fig. 2 is method flow diagram.
Embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to
It is as described below.
As shown in figure 1, a kind of voice interactive system of smart home, it includes audio signal sample module, audio frequency process
Module, voice training module, sound identification module, voice wake-up module, model fitting module, ADC modular converters, microprocessor
Device, memory module, DAC modular converters and voice playing module；
Described audio signal sample module is connected with audio processing modules, the audio signal sent for gathering user；
Described audio processing modules and voice training module and ADC conversions are connected, for by the voice audio signals collected
Carry out gain control and EQ（It is balanced）Regulation is handled；
Described voice training module is connected with ADC modular converters, for realizing that the voice to user is trained to form voice
Memory convenient user speech next time wakes up intelligent home device when interacting；
Described ADC modular converters are connected with voice wake-up module and sound identification module, for audio processing modules to be handled
Analog signal afterwards is converted to data signal；
Described sound identification module is connected with model fitting module, for the voice audio signals collected to be identified simultaneously
Transfer signals to model fitting module；
Described voice wake-up module is connected with microprocessor, for the speech audio when user is using equipment by setting
Signal calls out intelligent home device；
Described model fitting module is connected with microprocessor, for believing after voice wakes up successfully the speech audio collected
Number matched, parse the implication of signal；
Described microprocessor is connected with memory module and DAC modular converters, for completing or holding according to voice audio signals
The corresponding instruction of row；
Described memory module is used for the voice audio signals waken up to equipment, the phonetic order and semantic word that perform or complete
Yi Ku is stored；
Described DAC modular converters are connected with voice playing module, and the data signal that microprocessor is exported is converted to mould by user
Intend signal, and played out by voice playing module.
Described model fitting module includes speech model matching unit and acoustics Model Matching unit；Described voice mould
Type matching unit and acoustics Model Matching unit are waken up by the sound pronunciation dictionary in speech model and acoustic model in voice
After success the voice audio signals that collect are parsed into Chinese character, and is identified with the semantic meaning of a word storehouse in memory module
Match somebody with somebody.
System can be trained to form phonetic memory to the voice of multiple users, facilitate multiple users can be by voice
Interaction allows intelligent home device to perform corresponding instruction.
The step of a kind of exchange method of the voice interactive system of smart home, methods described, is as follows：
S1, collection voice audio signals；
S2, judge whether voice audio signals wake up intelligent home device；
S3, judge whether speech recognition match succeeds；
S4, according to phonetic order complete task.
The S2's comprises the following steps that：
S21, voice wake-up carried out according to pre-set wake-up word；
If S22, wake up successfully, carry out phonetic order content matching；
If S23, wake-up are unsuccessful, voice reminder is carried out by voice broadcast module, voice is resurveyed and wakes up word.
The S3's comprises the following steps that：
S31, the pronunciation to phonetic order content are identified and entered with the sound pronunciation dictionary in speech model and acoustic model
Row is matched one by one, by the Context resolution in phonetic order into hanzi form；
In S32, the instruction for being able to carry out the semantic meaning of a word storehouse in the Chinese phrase and memory module that parse and smart machine
Matching is identified in appearance, parses the real meaning of instruction；
Whether S33, decision instruction are performed succeeds.
The S21's comprises the following steps that：
S211, word is waken up to the voice that collects pass through FFT（Fast Fourier Transform (FFT)）Carry out spectrum analysis；
S212, word is waken up to tone color, tonequality and tone and the voice that pre-sets carry out contrast and match.
The S33's comprises the following steps that：
If S331, instruction run succeeded, reported by voice broadcast module；
If S332, instruction execution are unsuccessful, user is reminded to reaffirm instruction by voice broadcast module.
Also include being trained the step of forming phonetic memory to user speech before first time assignment instructions are performed.
User speech is trained and to form phonetic memory and comprises the following steps that：
A1, user's alignment audio signal sample module carry out 3-5 same phonetic entry；
A2, FFT is passed through to the user speech audio signal collected（Fast Fourier Transform (FFT)）Carry out spectrum analysis, Yi Jiyin
The memory of color, tonequality and tone confirms；
A3, by the user speech trained formation memory deposit memory module in.
Preferably, user speech audio signal is acquired using microphone, passes through audio process, voice spectrum point
Analyzer and speech chip are identified, contrast and matched to the phonetic order of user, the language stored in by memory
Adopted meaning of a word storehouse parses the execution for completing phonetic order after the implication of phonetic order by microprocessor, and by loudspeaker or
Power amplification system carries out voice broadcast.
Described above is only the preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein
Form, is not to be taken as the exclusion to other embodiment, and available for various other combinations, modification and environment, and can be at this
In the text contemplated scope, it is modified by the technology or knowledge of above-mentioned teaching or association area.And those skilled in the art are entered
Capable change and change does not depart from the spirit and scope of the present invention, then all should appended claims of the present invention protection domain
It is interior.
Claims (10)
1. a kind of voice interactive system of smart home, it is characterised in that：It includes audio signal sample module, audio frequency process mould
Block, voice training module, sound identification module, voice wake-up module, model fitting module, ADC modular converters, microprocessor,
Memory module, DAC modular converters and voice playing module；
Described audio signal sample module is connected with audio processing modules, the audio signal sent for gathering user；
Described audio processing modules and voice training module and ADC conversions are connected, for by the voice audio signals collected
Carry out gain control and EQ regulations processing；
Described voice training module is connected with ADC modular converters, for realizing that the voice to user is trained to form voice
Memory convenient user speech next time wakes up intelligent home device when interacting；
Described ADC modular converters are connected with voice wake-up module and sound identification module, for audio processing modules to be handled
Analog signal afterwards is converted to data signal；
Described sound identification module is connected with model fitting module, for the voice audio signals collected to be identified simultaneously
Transfer signals to model fitting module；
Described voice wake-up module is connected with microprocessor, for the speech audio when user is using equipment by setting
Signal calls out intelligent home device；
Described model fitting module is connected with microprocessor, for believing after voice wakes up successfully the speech audio collected
Number matched, parse the implication of signal；
Described microprocessor is connected with memory module and DAC modular converters, for completing or holding according to voice audio signals
The corresponding instruction of row；
Described memory module is used for the voice audio signals waken up to equipment, the phonetic order and semantic word that perform or complete
Yi Ku is stored；
Described DAC modular converters are connected with voice playing module, and the data signal that microprocessor is exported is converted to mould by user
Intend signal, and played out by voice playing module.
2. a kind of voice interactive system of smart home according to claim 1, it is characterised in that：Described Model Matching
Module includes speech model matching unit and acoustics Model Matching unit；Described speech model matching unit and acoustic model
Voice sound with unit by the sound pronunciation dictionary in speech model and acoustic model after voice wakes up successfully to collecting
Frequency signal resolution is identified with the semantic meaning of a word storehouse in memory module and matched into Chinese character.
3. a kind of voice interactive system of smart home according to claim 1, it is characterised in that：System can be to multiple
The voice of user is trained to form phonetic memory, facilitates multiple users to be performed by interactive voice by intelligent home device
Corresponding instruction.
4. a kind of exchange method of the voice interactive system of smart home according to claim 1-3 any one, it is special
Levy and be：The step of methods described, is as follows：
S1, collection voice audio signals；
S2, judge whether voice audio signals wake up intelligent home device；
S3, judge whether speech recognition match succeeds；
S4, according to phonetic order complete task.
5. a kind of voice interactive method of smart home according to claim 4, it is characterised in that：The specific step of the S2
It is rapid as follows：
S21, voice wake-up carried out according to pre-set wake-up word；
If S22, wake up successfully, carry out phonetic order content matching；
If S23, wake-up are unsuccessful, voice reminder is carried out by voice broadcast module, voice is resurveyed and wakes up word.
6. a kind of voice interactive method of smart home according to claim 4, it is characterised in that：The specific step of the S3
It is rapid as follows：
S31, the pronunciation to phonetic order content are identified and entered with the sound pronunciation dictionary in speech model and acoustic model
Row is matched one by one, by the Context resolution in phonetic order into hanzi form；
In S32, the instruction for being able to carry out the semantic meaning of a word storehouse in the Chinese phrase and memory module that parse and smart machine
Matching is identified in appearance, parses the real meaning of instruction；
Whether S33, decision instruction are performed succeeds.
7. a kind of voice interactive method of smart home according to claim 5, it is characterised in that：The S21's is specific
Step is as follows：
S211, the voice wake-up word progress spectrum analysis to collecting；
S212, word is waken up to tone color, tonequality and tone and the voice that pre-sets carry out contrast and match.
8. a kind of voice interactive method of smart home according to claim 6, it is characterised in that：The S33's is specific
Step is as follows：
If S331, instruction run succeeded, reported by voice broadcast module；
If S332, instruction execution are unsuccessful, user is reminded to reaffirm instruction by voice broadcast module.
9. a kind of voice interactive method of smart home according to claim 4, it is characterised in that：Appoint for the first time performing
Also include being trained the step of forming phonetic memory to user speech before business instruction.
10. a kind of voice interactive method of smart home according to claim 9, it is characterised in that：User speech is entered
Row training forms comprising the following steps that for phonetic memory：
A1, user's alignment audio signal sample module carry out 3-5 same phonetic entry；
A2, the user speech audio signal progress spectrum analysis to collecting, and the memory of tone color, tonequality and tone confirm；
A3, by the user speech trained formation memory deposit memory module in.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107657956A (en) * | 2017-10-23 | 2018-02-02 | 上海斐讯数据通信技术有限公司 | A kind of multimedia equipment speech control system and method |
| CN107731226A (en) * | 2017-09-29 | 2018-02-23 | 杭州聪普智能科技有限公司 | Control method, device and electronic equipment based on speech recognition |
| CN107856499A (en) * | 2017-11-07 | 2018-03-30 | 龙泉市日日新科技咨询服务有限公司 | It is a kind of can Voice command air conditioning for automobiles |
| CN108196465A (en) * | 2018-03-07 | 2018-06-22 | 佛山市云米电器科技有限公司 | A kind of intelligent sound box and its control method based on phonetic order control |
| CN108461083A (en) * | 2018-03-23 | 2018-08-28 | 北京小米移动软件有限公司 | Electronic equipment mainboard, audio-frequency processing method, device and electronic equipment |
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| CN108932942A (en) * | 2018-06-26 | 2018-12-04 | 四川斐讯信息技术有限公司 | A kind of interactive system and method for realization intelligent sound box |
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| CN109545216A (en) * | 2018-12-28 | 2019-03-29 | 合肥凯捷技术有限公司 | A kind of audio recognition method and speech recognition system |
| CN109949808A (en) * | 2019-03-15 | 2019-06-28 | 上海华镇电子科技有限公司 | The speech recognition appliance control system and method for compatible mandarin and dialect |
| CN110051339A (en) * | 2019-05-27 | 2019-07-26 | 西马智能科技股份有限公司 | A kind of intelligent closestool |
| CN111354343A (en) * | 2020-03-09 | 2020-06-30 | 北京声智科技有限公司 | Voice wake-up model generation method and device and electronic equipment |
| WO2020181407A1 (en) * | 2019-03-08 | 2020-09-17 | 发条橘子云端行销股份有限公司 | Voice recognition control method and device |
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| CN117409781A (en) * | 2023-12-14 | 2024-01-16 | 深圳市恒利数码科技有限公司 | Man-machine interaction management system based on intelligent set top box |
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| CN107731226A (en) * | 2017-09-29 | 2018-02-23 | 杭州聪普智能科技有限公司 | Control method, device and electronic equipment based on speech recognition |
| CN107657956A (en) * | 2017-10-23 | 2018-02-02 | 上海斐讯数据通信技术有限公司 | A kind of multimedia equipment speech control system and method |
| CN107657956B (en) * | 2017-10-23 | 2020-12-22 | 吴建伟 | Voice control system and method for multimedia equipment |
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