CN108986430A - Net based on speech recognition about vehicle safe early warning method and system - Google Patents
Net based on speech recognition about vehicle safe early warning method and system Download PDFInfo
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- CN108986430A CN108986430A CN201811069743.9A CN201811069743A CN108986430A CN 108986430 A CN108986430 A CN 108986430A CN 201811069743 A CN201811069743 A CN 201811069743A CN 108986430 A CN108986430 A CN 108986430A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000002996 emotional effect Effects 0.000 claims abstract description 12
- 230000008909 emotion recognition Effects 0.000 claims abstract description 9
- 238000010586 diagram Methods 0.000 description 4
- 230000008451 emotion Effects 0.000 description 4
- 230000011218 segmentation Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012550 audit Methods 0.000 description 1
- 238000010009 beating Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/012—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using recorded signals, e.g. speech
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- 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
- G10L25/63—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 estimating an emotional state
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Emergency Management (AREA)
- General Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
- Human Computer Interaction (AREA)
- Psychiatry (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Hospice & Palliative Care (AREA)
- Child & Adolescent Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses a kind of net based on speech recognition about vehicle safe early warning methods, comprising the following steps: step 1, Wang Yue vehicle company saves the acoustic information of each net Yue Che driver；Step 2, at regular intervals, the dialogue of driver and passenger passes to Wang Yue vehicle company cloud server by GPRS network；Step 3, the recording of the dialogue of driver and passenger speaker is divided into alternately to record segment；Step 4, the segment that will record and the acoustic information of the net Yue Che driver saved compare, and distinguish the recording segment of driver and passenger；Step 5, passenger's emotional category is identified by the recording segment of passenger and speech emotion recognition technology, and is mapped to corresponding warning level；Step 6, the different warning levels that Wang Yue vehicle company obtains according to recording analysis, take appropriate measures in time.The invention also discloses a kind of early warning systems corresponding with the method for early warning.The present invention can guarantee passenger safety and cut operating costs.
Description
Technical field
The invention belongs to net about vehicle monitoring technology field more particularly to a kind of net based on speech recognition about vehicle safe early warnings
Method and system.
Background technique
Net about vehicle is the abbreviation of online order taxi, passenger can by mobile device on the net directly and driver into
Row reservation meets passenger to destination to designated place after net Yue Che driver's order, and the driver of net about vehicle and vehicle also pass through registration
And audit.Currently, net about vehicle is very universal, such as taxi, special train, windward driving, express, meets and be used for diversified trip need
It asks.
But at least there are the following problems in the prior art: net about vehicle also has very big risk, for the safety of passenger
Also there is no effectively ensured and prevented.
Summary of the invention
In order to solve the problems in the existing technology, the invention proposes a kind of net based on speech recognition about vehicle safety
Method for early warning and system.
The technical scheme adopted by the invention is that:
A kind of net based on speech recognition about vehicle safe early warning method, comprising the following steps:
Step 1, Wang Yue vehicle company saves the acoustic information of each net Yue Che driver；
Step 2, at regular intervals, the dialogue of driver and passenger passes to Wang Yue vehicle company cloud service by GPRS network
Device；
Step 3, the recording of the dialogue of driver and passenger speaker is divided into alternately to record segment；
Step 4, the segment that will record and the acoustic information of the net Yue Che driver saved compare, and distinguish driver and passenger
Recording segment；
Step 5, passenger's emotional category is identified by the recording segment of passenger and speech emotion recognition technology, and is mapped to phase
The warning level answered；
Step 6, the different warning levels that Wang Yue vehicle company obtains according to recording analysis, take appropriate measures in time.
Preferably, further comprising the steps of before or after step 5: every section of voice being turned by speech recognition technology
After text, if there is dangerous word, then warning level is increased to highest level.
Preferably, corresponding measure includes phoning net Yue Che driver to verify, by pair of driver and passenger
Departure place, destination and the real-time positioning information of the dangerous word, net about vehicle that occur in words, dialogue are sent to public security system.
Preferably, several emotional categories include it is glad, tranquil, discontented, angry, fear and fear.
A kind of net based on speech recognition about vehicle safety pre-warning system, comprising:
Acoustic information memory module, for storing the acoustic information of net Yue Che driver；
Sound pick-up outfit, for the session log of driver and passenger to get off；
Cloud server, for receiving the dialogue of the driver and passenger uploaded from the sound pick-up outfit by GPRS network
Information；
Voice divides module, alternately records segment for the recording of the dialogue of driver and passenger to be divided into speaker；
Speech identity identification module, the net Yue Che driver saved for will record segment and the acoustic information memory module
Acoustic information compare, distinguish the recording segment of driver and passenger；
Speech emotion recognition module, the emotional category of the recording segment of passenger for identification, and it is mapped to corresponding early warning
Rank；
Alarm module, for taking corresponding Forewarning Measures according to different warning levels.
Preferably, including speech-to-text module, every section of recording segment is changed into text by the speech-to-text module, such as
There is dangerous word in fruit, then warning level is increased to highest level.
Preferably, including public security system, the alarm module will net the contact method of Yue Che driver, pair of driver and passenger
Departure place, destination and the real-time positioning information of the dangerous word, net about vehicle that occur in words, dialogue are sent to the public security system
System.
Compared with prior art, the beneficial effects of the present invention are:
The present invention realizes the purpose of automatic monitoring network about vehicle using relevant speech recognition technology, records to the passenger of detection
The different emotions classification of tablet section, dangerous word, are mapped to corresponding warning level, are taken automatically according to different warning levels
Corresponding Forewarning Measures can take into account passenger safety which obviate the problem of cost of labor that recording faces goes up manually is listened to
And operation cost.
Detailed description of the invention
Fig. 1 is the flow chart of the about vehicle safe early warning method of the net based on speech recognition of one embodiment of the invention；
Fig. 2 is the schematic diagram of certain section of recording composition of one embodiment of the invention；
Fig. 3 is the schematic diagram of the voice segmentation based on speaker of one embodiment of the invention；
Fig. 4 is the schematic diagram of identification driver and passenger's identity of one embodiment of the invention；
Fig. 5 is the block diagram of the about vehicle safety pre-warning system of the net based on speech recognition of one embodiment of the invention.
In figure, 1- sound pick-up outfit；2- cloud server；3- acoustic information memory module；4- voice divides module；5- voice
Identification module；6- speech emotion recognition module；7- alarm module.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to each reality of the invention
The mode of applying is explained in detail.
As shown in Figure 1, a kind of net based on speech recognition about vehicle safe early warning method, include the following steps 1 to step 6.
Step 1, Wang Yue vehicle company saves the acoustic information of each net Yue Che driver, such as voiceprint.
Step 2, at regular intervals (such as 3 minutes), the dialogue of driver and passenger passes to net about vehicle by GPRS network
Company's cloud server.As shown in Fig. 2, the dialogue of driver and passenger is made of 6 sections of sound, specifically:
S1: it gets off (driver imperturbably says)；
S2: you detour (passenger is discontented with the tone)；
S3: where you are around (driver's tone indignation)；
S4: what I often walked, you are exactly to deceive my pay (passenger's tone indignation) more；
S5: you say again！(driver turns around to dig out knife)；
S6:, do not kill I (passenger, which cries out, to cry, and heart is terrified).
Step 3, the recording of the dialogue of driver and passenger speaker is divided into alternately to record segment.As shown in figure 3, adopting
With the voice dialogue cutting techniques based on BIC, voice segmentation is carried out to the voice in Fig. 2, trip point t1, t2 are obtained after segmentation,
T3, t4, t5.
Step 4, the segment that will record and the acoustic information of the net Yue Che driver saved compare, and distinguish driver and passenger
Recording segment.As shown in figure 4, identifying each recording segment to the recording in Fig. 2 using the speaker Recognition Technology of Microsoft
Driver or passenger's identity, in this embodiment, the present invention do not distinguish different passengers, it is believed that their emotion behavior is corresponding same
Warning level.
Step 5, passenger's emotional category is identified by the recording segment of passenger and speech emotion recognition technology, and is mapped to phase
The warning level answered.Such as define 5 emotional categories: it is glad, tranquil, discontented, angry, fear, fear, pass through GMM algorithm
Speech emotion recognition technology identifies passenger's emotion, and speech emotional is then mapped to warning level: 0- happiness or tranquil, 1- are not
Full, 2- indignation, 3- fear, 4- is frightened, and final warning level takes all passenger's voices to correspond to the maximum value of warning level.Due to
The driver for having received professional training compares, and the emotion behavior of passenger is more prominent, therefore only analyzes the speech emotional of client.
It is further comprising the steps of before or after step 5: by speech recognition technology every section of voice (including driver
And passenger) change into text after, if there is dangerous word (such as " having killed you ", " having killed you ", " getting a beating ", " not mentionleting alone words ", " not
Cry out " etc.), then warning level is increased to highest level.
Step 6, the different warning levels that Wang Yue vehicle company obtains according to recording analysis, take appropriate measures in time.
Corresponding measure includes that Wang Yue vehicle company phones net Yue Che driver and verifies, will be in the dialogue of driver and passenger, dialogue
The dangerous word of appearance, departure place, destination and the real-time positioning information of net about vehicle are sent to public security system, by public security system plus
Strong supervision.
As shown in figure 5, a kind of net based on speech recognition about vehicle safety pre-warning system, comprising:
Acoustic information memory module 3, for storing the acoustic information of net Yue Che driver；
Sound pick-up outfit 1, for the session log of driver and passenger to get off；
Cloud server 2, the dialogue for receiving the driver and passenger uploaded from sound pick-up outfit 1 by GPRS network are believed
Breath；
Voice divides module 4, alternately records segment for the recording of the dialogue of driver and passenger to be divided into speaker；
Speech identity identification module 5 nets Yue Che driver's for what will record segment and acoustic information memory module 3 saved
Acoustic information compares, and distinguishes the recording segment of driver and passenger；
Speech emotion recognition module 6, the emotional category of the recording segment of passenger for identification, and it is mapped to corresponding early warning
Rank；
Alarm module 7, for taking corresponding Forewarning Measures according to different warning levels.
In one embodiment of the invention, net about vehicle safety pre-warning system includes speech-to-text module, and voice turns text
Every section of recording segment is changed into text by word modules, if there is dangerous word, then warning level is increased to highest level.
In one embodiment of the invention, net about vehicle safety pre-warning system includes public security system, alarm module 7 by net about
The contact method of vehicle driver, the dialogue of driver and passenger, the dangerous word occurred in dialogue, net about vehicle departure place, destination
It is sent to public security system with real-time positioning information, reinforces supervising by public security system.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims
Subject to.
Claims (7)
1. a kind of net based on speech recognition about vehicle safe early warning method, which comprises the following steps:
Step 1, Wang Yue vehicle company saves the acoustic information of each net Yue Che driver；
Step 2, at regular intervals, the dialogue of driver and passenger passes to Wang Yue vehicle company cloud server by GPRS network；
Step 3, the recording of the dialogue of driver and passenger speaker is divided into alternately to record segment；
Step 4, the segment that will record and the acoustic information of the net Yue Che driver saved compare, and distinguish the record of driver and passenger
Tablet section；
Step 5, passenger's emotional category is identified by the recording segment of passenger and speech emotion recognition technology, and be mapped to corresponding
Warning level；
Step 6, the different warning levels that Wang Yue vehicle company obtains according to recording analysis, take appropriate measures in time.
2. a kind of net based on speech recognition according to claim 1 about vehicle safe early warning method, which is characterized in that in step
It is further comprising the steps of before or after rapid 5: after every section of voice is changed into text by speech recognition technology, if there is danger
Dangerous word, then be increased to highest level for warning level.
3. a kind of net based on speech recognition according to claim 1 or 2 about vehicle safe early warning method, which is characterized in that
Corresponding measure includes phoning net Yue Che driver to verify, by what is occurred in the dialogue of driver and passenger, dialogue
Departure place, destination and the real-time positioning information of dangerous word, net about vehicle are sent to public security system.
4. a kind of net based on speech recognition according to claim 1 about vehicle safe early warning method, which is characterized in that several
Emotional category include it is glad, tranquil, discontented, angry, fear and fear.
5. a kind of net based on speech recognition about vehicle safety pre-warning system characterized by comprising
Acoustic information memory module, for storing the acoustic information of net Yue Che driver；
Sound pick-up outfit, for the session log of driver and passenger to get off；
Cloud server, the dialogue for receiving the driver and passenger uploaded from the sound pick-up outfit by GPRS network are believed
Breath；
Voice divides module, alternately records segment for the recording of the dialogue of driver and passenger to be divided into speaker；
Speech identity identification module, the sound for netting Yue Che driver saved for will record segment and the acoustic information memory module
Message breath compares, and distinguishes the recording segment of driver and passenger；
Speech emotion recognition module, the emotional category of the recording segment of passenger for identification, and it is mapped to corresponding warning level；
Alarm module, for taking corresponding Forewarning Measures according to different warning levels.
6. a kind of net based on speech recognition according to claim 5 about vehicle safety pre-warning system, which is characterized in that including
Every section of recording segment is changed into text by speech-to-text module, the speech-to-text module, if there is dangerous word, then will
Warning level is increased to highest level.
7. a kind of net based on speech recognition according to claim 6 about vehicle safety pre-warning system, which is characterized in that including
Public security system, the danger that the alarm module will occur in the net contact method of Yue Che driver, the dialogue of driver and passenger, dialogue
Departure place, destination and the real-time positioning information of word, net about vehicle are sent to the public security system.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448317A (en) * | 2018-12-26 | 2019-03-08 | 上海理工大学 | Taxi automatic alarm system |
| CN110070889A (en) * | 2019-03-15 | 2019-07-30 | 深圳壹账通智能科技有限公司 | Vehicle monitoring method, device and storage medium, server |
| CN110310464A (en) * | 2019-07-25 | 2019-10-08 | 缙晟创意发展(上海)股份有限公司 | The warning device and alarm system of a kind of net about vehicle |
| CN110443987A (en) * | 2019-07-01 | 2019-11-12 | 四川鼎鸿物联网科技有限公司 | Police end alert acquisition methods and system based on driver and conductor's words and deeds early warning system |
| CN110544062A (en) * | 2019-07-22 | 2019-12-06 | 天津五八到家科技有限公司 | Information acquisition method, device, equipment and storage medium |
| CN111489522A (en) * | 2020-05-29 | 2020-08-04 | 北京百度网讯科技有限公司 | Method, device and system for outputting information |
| WO2021068595A1 (en) * | 2019-10-09 | 2021-04-15 | 深圳市声扬科技有限公司 | Driver identity verification method and apparatus, and electronic device |
| CN113409776A (en) * | 2021-06-30 | 2021-09-17 | 南京领行科技股份有限公司 | Voice recognition method and device, electronic equipment and storage medium |
| WO2022082453A1 (en) * | 2020-10-20 | 2022-04-28 | Beijing Didi Infinity Technology And Development Co., Ltd. | Artificial intelligence system for transportation service related safety issues detection based on machine learning |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102099853A (en) * | 2009-03-16 | 2011-06-15 | 富士通株式会社 | Apparatus and method for recognizing speech emotion change |
| JP5687889B2 (en) * | 2010-12-06 | 2015-03-25 | 富士通テン株式会社 | Vehicle interior monitoring device |
| CN106056839A (en) * | 2016-06-30 | 2016-10-26 | 武汉斑马快跑科技有限公司 | Security monitoring system and method for internet-based car hailing service |
| CN107332875A (en) * | 2017-05-27 | 2017-11-07 | 上海与德科技有限公司 | A kind of net about car monitoring method and system, cloud server |
| CN107527617A (en) * | 2017-09-30 | 2017-12-29 | 上海应用技术大学 | Monitoring method, apparatus and system based on voice recognition |
| CN107888640A (en) * | 2016-09-30 | 2018-04-06 | 北京嘀嘀无限科技发展有限公司 | Passenger safety aids in monitoring method and device |
-
2018
- 2018-09-13 CN CN201811069743.9A patent/CN108986430A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102099853A (en) * | 2009-03-16 | 2011-06-15 | 富士通株式会社 | Apparatus and method for recognizing speech emotion change |
| JP5687889B2 (en) * | 2010-12-06 | 2015-03-25 | 富士通テン株式会社 | Vehicle interior monitoring device |
| CN106056839A (en) * | 2016-06-30 | 2016-10-26 | 武汉斑马快跑科技有限公司 | Security monitoring system and method for internet-based car hailing service |
| CN107888640A (en) * | 2016-09-30 | 2018-04-06 | 北京嘀嘀无限科技发展有限公司 | Passenger safety aids in monitoring method and device |
| CN107332875A (en) * | 2017-05-27 | 2017-11-07 | 上海与德科技有限公司 | A kind of net about car monitoring method and system, cloud server |
| CN107527617A (en) * | 2017-09-30 | 2017-12-29 | 上海应用技术大学 | Monitoring method, apparatus and system based on voice recognition |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448317A (en) * | 2018-12-26 | 2019-03-08 | 上海理工大学 | Taxi automatic alarm system |
| CN110070889A (en) * | 2019-03-15 | 2019-07-30 | 深圳壹账通智能科技有限公司 | Vehicle monitoring method, device and storage medium, server |
| CN110443987A (en) * | 2019-07-01 | 2019-11-12 | 四川鼎鸿物联网科技有限公司 | Police end alert acquisition methods and system based on driver and conductor's words and deeds early warning system |
| CN110544062A (en) * | 2019-07-22 | 2019-12-06 | 天津五八到家科技有限公司 | Information acquisition method, device, equipment and storage medium |
| CN110310464A (en) * | 2019-07-25 | 2019-10-08 | 缙晟创意发展(上海)股份有限公司 | The warning device and alarm system of a kind of net about vehicle |
| WO2021068595A1 (en) * | 2019-10-09 | 2021-04-15 | 深圳市声扬科技有限公司 | Driver identity verification method and apparatus, and electronic device |
| CN111489522A (en) * | 2020-05-29 | 2020-08-04 | 北京百度网讯科技有限公司 | Method, device and system for outputting information |
| JP2021182131A (en) * | 2020-05-29 | 2021-11-25 | ベイジン バイドゥ ネットコム サイエンス テクノロジー カンパニー リミテッド | Method, device and system, electronic device, computer readable storage medium and computer program for outputting information |
| JP7160454B2 (en) | 2020-05-29 | 2022-10-25 | 阿波▲羅▼智▲聯▼（北京）科技有限公司 | Method, apparatus and system, electronic device, computer readable storage medium and computer program for outputting information |
| WO2022082453A1 (en) * | 2020-10-20 | 2022-04-28 | Beijing Didi Infinity Technology And Development Co., Ltd. | Artificial intelligence system for transportation service related safety issues detection based on machine learning |
| CN113409776A (en) * | 2021-06-30 | 2021-09-17 | 南京领行科技股份有限公司 | Voice recognition method and device, electronic equipment and storage medium |
| CN113409776B (en) * | 2021-06-30 | 2024-06-07 | 南京领行科技股份有限公司 | Voice recognition method and device, electronic equipment and storage medium |
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