CN107833576A - A kind of semantic processes method and system with intermediate server - Google Patents
A kind of semantic processes method and system with intermediate server Download PDFInfo
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- CN107833576A CN107833576A CN201711146257.8A CN201711146257A CN107833576A CN 107833576 A CN107833576 A CN 107833576A CN 201711146257 A CN201711146257 A CN 201711146257A CN 107833576 A CN107833576 A CN 107833576A
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000008569 process Effects 0.000 title claims abstract description 30
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 238000012795 verification Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 4
- 238000011161 development Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
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- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/53—Network services using third party service providers
Abstract
The present invention provides a kind of semantic processes method with intermediate server, it is characterised in that includes：Robot client obtains voice recognition information；NLP intermediate server combination big data semantemes algorithm is attempted to carry out semantic service and matched；Semantic pairing is replied if semantic pairing is successfully completed to robot client, service is completed, sends semantic service to third-party server if unsuccessful, carried out semantic service by third-party server and matched；Third-party server send back to NLP intermediate servers by result is matched.Voice is identified and matched by increasing NLP intermediate servers and third-party server, strengthens the semantics recognition ability of intelligent robot, make intelligent robot be less prone to interim card, crash phenomena such as, make reaction rapider；There is logging unit in NLP intermediate servers, the semantic service of intelligent robot is safeguarded and improved for after providing data support.
Description
Technical field
The present invention relates to semantic processes technical field, more particularly to a kind of semantic processes method with intermediate server and
System.
Background technology
The continuous development of science and technology, the propelled at high velocity of information age, high-speed automated social life mode is progressively
Realize, the fast development of computer technology accelerates the paces of human society advance.The appearance of intelligent robot also engenders
Among daily life, such as；Dining room, serviced and dredged with intelligent robot in market, not only liberated it is artificial,
And the development for science and technology is filled with new vitality.
At present, in the continuous progradation of intelligent robot, intelligent robot semantics recognition has machine using traditional
People's client directly transmits the two layers model of request, and this is easy for often occurring shutting down, services wild effect, and without pairing
Log recording, it is unfavorable for continuing to promote the improved phenomenon of semantic service.
The content of the invention
The embodiment of the present invention provides a kind of semantic processes method and system with intermediate server, it is intended to solves existing skill
Shutting down often occurs in Shu Zhong robots semantics recognition system, it is unstable to service and the problems such as without pairing log recording.
In order to solve problem above, the embodiment of the invention discloses following technical scheme：It is a kind of with intermediate server
Semantic processes method, it is characterised in that include：Robot client obtains voice recognition information；NLP intermediate servers combine big
Data semantic algorithm is attempted to carry out semantic service and matched；Semantic pairing is replied if semantic pairing is successfully completed to robot visitor
Family end, service is completed, semantic service is sent to third-party server if unsuccessful, semantic clothes are carried out by third-party server
It is engaged in and matches；Third-party server send back to NLP intermediate servers by result is matched.
Further, a kind of semantic processes method with intermediate server of the present invention, it is characterised in that
NLP intermediate server combination big data semantemes algorithm is attempted before carrying out semantic service and pairing, in addition to：The voice of acquisition is known
Other information is converted into text information, and the text information is uploaded into robot client-server application semantic service.
Further, a kind of semantic processes method with intermediate server of the present invention, it is characterised in that inciting somebody to action
The voice recognition information of acquisition is converted into text information, and the text information is uploaded into home server application semantic service
Afterwards, in addition to：NLP intermediate server verifier people client obtains the validity and legitimacy of information.
Further, a kind of semantic processes method with intermediate server of the present invention, it is characterised in that
Tripartite's server is played result is matched to NLP intermediate servers, in addition to：NLP intermediate servers will match result and send
Recorded to robot client, and by pairing result to daily record.
The present invention also provides a kind of semantic processes system with intermediate server, it is characterised in that including：Robot visitor
Family end module, NLP intermediate servers module and third-party server module；The robot client modules include：Obtain single
Member, for obtaining the voice messaging of robot client；Semantic conversion unit, for voice messaging to be converted into text information；
The NLP intermediate servers module includes：Semantic verification unit, for verifying the validity of voice messaging；Algorithm unit, it is used for
The semantic service of voice messaging and pairing；Transmitting element is received, for forwarding semantic information to third-party server module and connecing
Receive third party's service pairing result；Recording unit, for recording third-party server pairing result.
Further, a kind of semantic processes system with intermediate server of the present invention, it is characterised in that described
Acquiring unit is pronounciation processing chip.
Further, a kind of semantic processes system with intermediate server of the present invention, it is characterised in that described
Semantic conversion unit is intelligent sound chip.
Further, a kind of semantic processes system with intermediate server of the present invention, it is characterised in that described
Semantic verification unit is BIOS.
Further, a kind of semantic processes system with intermediate server of the present invention, it is characterised in that described
Algorithm unit is kernel processor chip, and the reception transmitting element is network interface card.
Further, a kind of semantic processes system with intermediate server of the present invention, it is characterised in that described
Third-party server module is computer server.
In the embodiment of the present invention, voice is identified and matched somebody with somebody by increasing NLP intermediate servers and third-party server
It is right, the semantics recognition ability of intelligent robot is strengthened, enables the operation of semantics recognition system stably, in addition intermediate server
Algorithm unit is additionally provided with, the operation of robot has been undertaken, thus intelligent robot is not easy out in the course of the work
Phenomena such as existing interim card, deadlock, make intelligence machine person's development rapider；And there is log recording list in NLP intermediate servers
Member, semantic service maintenance and improvement after being recorded as to each semantics recognition service result to intelligent robot carry
Supported for data.
Brief description of the drawings
Fig. 1 is the semantic processes method flow diagram of the present invention with intermediate server；
Fig. 2 is the semantic processes system construction drawing of the present invention with intermediate server.
Embodiment
In order that the purpose, technical scheme and advantage of the embodiment of the present invention are clearer, implement below in conjunction with the present invention
Accompanying drawing in example, the technical scheme in the embodiment of the present invention is explicitly described, it is clear that described embodiment is this hair
Bright part of the embodiment, rather than whole embodiments.Based on the embodiment in the present invention, those skilled in the art exists
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Often occur shutting down to solve existing intelligent robot semantics recognition system, service it is unstable and without pairing daily record
The problems such as record, the present invention provided a kind of semantic processes method and system with intermediate server.
As shown in figure 1, be a kind of semantic processes method flow diagram with intermediate server of the present invention, including it is following
Step：
Step S101：Robot client obtains voice recognition information.
Specifically, robot client is used to receive the voice messaging that robot collects；Robot receives voice please
Voice request is sent to robot client after asking, working condition is initially located in so as to transfer semantic processor.
Step S102：NLP intermediate server combination big data semantemes algorithm is attempted to carry out semantic service and matched.
Specifically, the machine-independent people's client-server of NLP intermediate servers, it is independent middle IA frame serverPC,
It, which can combine the big data semanteme algorithm of server internal itself and carries out semantic identification, meets and matches so as to carrying out semanteme.
Further, also include before step S102：Robot client converts the voice recognition information received
For text information, described text information is uploaded to robot client-server application semantic service.
Further, also include after above-mentioned application semantic service step：NLP intermediate server verifier people's clients
Obtain the validity and legitimacy of information.
The legitimacy of semantic service can be recognized by above step, so that follow-up semantic identification is stable, is made whole
Robot client semantic system is less prone to deadlock phenomenon.
Step S103：Semantic pairing is replied if semantic pairing is successfully completed to robot client, service is completed, if not
It is successful then send semantic service to third-party server, semantic service is carried out by third-party server and is matched；
Specifically, NLP intermediate servers can judge whether voice messaging belongs to effective according to the voice messaging received
The voice application of legitimacy, if voice messaging is invalid or does not conform to rule NLP intermediate servers and will not produce response, if language
It can be then that semantic information is matched, if pairing with big data semanteme algorithm progress semantic service that message breath is effective and legal
It is successful then semantic information is sent back to robot client, then complete semantic service.If pairing is unsuccessful, semanteme is applied
Send to third-party server, semantic service is carried out by third-party server, matched to the semantic information received.
Step S104：Third-party server send back to NLP intermediate servers by result is matched.
Third-party server carries out semantic information pairing, such NLP intermediate servers will according to the semantic information received
The semantic information that can not be matched passes to third-party server, will not thus cause robot occur crashing etc. it is abnormal existing
As.Pairing result is sent back to NLP intermediate servers after third-party server carries out successful matching.
Further, NLP intermediate servers are sent result is matched to robot client, and will pairing result record
To daily record, the preservation of success unpaired message every time is so ensured that, robot client is safeguarded and improved afterwards
When can provide data support.
It is illustrated in figure 2 a kind of processing system 200 with intermediate server involved in the present invention.Including：Robot
Client modules 201, NLP intermediate servers module 202 and third-party server module 203.
Robot client modules 201 include again：Acquiring unit 2011, semantic conversion unit 2012；Acquiring unit 2011
For obtaining the voice messaging of robot client, semantic conversion unit 2012 is used to voice messaging being converted into text information.
NLP intermediate servers module 202 includes again:Semantic verification unit 2021, algorithm unit 2022, receive transmitting element
2023 and recording unit 2024；Semantic verification unit 2021, for verifying the validity of voice messaging, algorithm unit 2022 is used for
The semantic service of voice messaging and pairing, transmit and receive unit 2023, for forward semantic information to third-party server module simultaneously
Receive third-party server pairing result, recording unit 2024, for recording third-party server pairing result.
Acquiring unit 2011 in robot client modules 201 passes information to language after voice messaging is received
Adopted converting unit 2012, voice messaging is converted to semantic conversion unit 2012 into text information and the request that uploads onto the server is semantic
Service, in the present embodiment, acquiring unit 2011 can be pronounciation processing chip, and semantic conversion unit 2012 can be intelligent sound
Chip.
NLP intermediate servers module 202 is entered by semantic verification unit 2021 first after semantic service request is received
The checking of the semantic validity of row and security, algorithm unit 2022, algorithm list are passed to if meeting to require by voice messaging
Member 2022 carries out semantic information pairing, and successful matching, which then sends pairing result to robot client 201, terminates whole semanteme
Service, such as match it is unsuccessful, then algorithm unit 2022 by voice messaging pass to receive transmitting element 2023, receive transmitting element
Voice messaging is sent to third-party server module 203 by 2023, and in the present embodiment, semantic verification unit 2021 can be
BIOS, algorithm unit 2022 can be kernel processor chip, and it can be network interface card to receive transmitting element 2023.
Third-party server 203 carries out semantic service according to the voice messaging received, by the voice messaging of successful matching
The reception transmitting element 2023 of NLP intermediate servers module 202 is sent back to, receives transmitting element 2023 by successful matching information
Recording unit 2024 is passed to, then semantic service unpaired message is sent to robot client by recording unit 2024, so far
Semantic service is completed, in the present embodiment, third-party server module 203 can be computer server.Pass through NLP intermediate servers
Module 202 and third-party server module 203 add the stability of the semantic service of robot client 201, assume responsibility for intelligence
The work of robot semanteme algorithm, thus make intelligent robot be less prone in the course of the work interim card, crash phenomena such as, make
Intelligence machine person's development is rapider, and on the other hand increase has recording unit, in the follow-up maintenance of robot and development
In can pass through recording unit data message certain technical support is provided.
It is to sum up the specific embodiment of the present invention, it is clear that those skilled in the art can carry out various change to the present invention
Dynamic and modification is without departing from the spirit and scope of the present invention.So, if these modifications and variations of the present invention belong to the present invention
Within the scope of claim and its equivalent technologies, then the present invention is also intended to comprising including these changes and modification.
Claims (10)
- A kind of 1. semantic processes method with intermediate server, it is characterised in that include：Robot client obtains voice recognition information；NLP intermediate server combination big data semantemes algorithm is attempted to carry out semantic service and matched；Semantic pairing is replied if semantic pairing is successfully completed to robot client, service is completed, by semanteme if unsuccessful Service is sent to third-party server, is carried out semantic service by third-party server and is matched；Third-party server send back to NLP intermediate servers by result is matched.
- 2. a kind of semantic processes method with intermediate server according to claim 1, it is characterised in that in NLP Between server combination big data semanteme algorithm attempt carry out semantic service and match before, in addition to：The voice recognition information of acquisition is converted into text information, the text information is uploaded to robot client-server Apply for semantic service.
- 3. a kind of semantic processes method with intermediate server according to claim 2, it is characterised in that will obtain Voice recognition information be converted into text information, after the text information is uploaded into home server application semantic service, also Including：NLP intermediate server verifier people client obtains the validity and legitimacy of information.
- 4. a kind of semantic processes method with intermediate server according to claim 1, it is characterised in that in third party Server is played result is matched to NLP intermediate servers, in addition to：NLP intermediate servers are sent result is matched to robot client, and pairing result is recorded to daily record.
- A kind of 5. semantic processes system with intermediate server, it is characterised in that including：In robot client modules, NLP Between server module and third-party server module；The robot client modules include：Acquiring unit, for obtaining the voice messaging of robot client；Semantic conversion Unit, for voice messaging to be converted into text information；The NLP intermediate servers module includes：Semantic verification unit, for verifying the validity of voice messaging；Algorithm unit, Semantic service and pairing for voice messaging；Transmitting element is received, for forwarding semantic information to third-party server module And receive third party's service pairing result；Recording unit, for recording third-party server module pairs result.
- A kind of 6. semantic processes system with intermediate server according to claim 1, it is characterised in that the acquisition Unit is pronounciation processing chip.
- A kind of 7. semantic processes system with intermediate server according to claim 1, it is characterised in that the semanteme Converting unit is intelligent sound chip.
- A kind of 8. semantic processes system with intermediate server according to claim 1, it is characterised in that the semanteme Authentication unit is BIOS.
- A kind of 9. semantic processes system with intermediate server according to claim 1, it is characterised in that the algorithm Unit is kernel processor chip, and the reception transmitting element is network interface card.
- 10. a kind of semantic processes system with intermediate server according to claim 1, it is characterised in that described Tripartite's server module is computer server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711146257.8A CN107833576A (en) | 2017-11-17 | 2017-11-17 | A kind of semantic processes method and system with intermediate server |
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| CN201711146257.8A CN107833576A (en) | 2017-11-17 | 2017-11-17 | A kind of semantic processes method and system with intermediate server |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108881377A (en) * | 2018-04-28 | 2018-11-23 | 上海车音智能科技有限公司 | A kind of application service invocation method, terminal device and server |
| CN109559746A (en) * | 2018-12-21 | 2019-04-02 | 中润普达(深圳)大数据技术有限公司 | A kind of robot semantics recognition system |
| CN110534115A (en) * | 2019-10-14 | 2019-12-03 | 上海企创信息科技有限公司 | Recognition methods, device, system and the storage medium of multi-party speech mixing voice |
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| US20010047258A1 (en) * | 1998-09-22 | 2001-11-29 | Anthony Rodrigo | Method and system of configuring a speech recognition system |
| CN104078045A (en) * | 2013-03-26 | 2014-10-01 | 联想(北京)有限公司 | Identifying method and electronic device |
| CN208045098U (en) * | 2017-11-17 | 2018-11-02 | 哈尔滨工大服务机器人有限公司 | A kind of semantic processes system with intermediate server |
-
2017
- 2017-11-17 CN CN201711146257.8A patent/CN107833576A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010047258A1 (en) * | 1998-09-22 | 2001-11-29 | Anthony Rodrigo | Method and system of configuring a speech recognition system |
| CN104078045A (en) * | 2013-03-26 | 2014-10-01 | 联想(北京)有限公司 | Identifying method and electronic device |
| CN208045098U (en) * | 2017-11-17 | 2018-11-02 | 哈尔滨工大服务机器人有限公司 | A kind of semantic processes system with intermediate server |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108881377A (en) * | 2018-04-28 | 2018-11-23 | 上海车音智能科技有限公司 | A kind of application service invocation method, terminal device and server |
| CN108881377B (en) * | 2018-04-28 | 2021-12-03 | 上海车音智能科技有限公司 | Application service calling method, terminal equipment and server |
| CN109559746A (en) * | 2018-12-21 | 2019-04-02 | 中润普达(深圳)大数据技术有限公司 | A kind of robot semantics recognition system |
| CN110534115A (en) * | 2019-10-14 | 2019-12-03 | 上海企创信息科技有限公司 | Recognition methods, device, system and the storage medium of multi-party speech mixing voice |
| CN110534115B (en) * | 2019-10-14 | 2021-11-26 | 上海企创信息科技有限公司 | Multi-party mixed voice recognition method, device, system and storage medium |
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Application publication date: 20180323 |