CN104332159A - Vehicular voice-operated system man-machine interaction method and device - Google Patents
Vehicular voice-operated system man-machine interaction method and device Download PDFInfo
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- CN104332159A CN104332159A CN201410595192.5A CN201410595192A CN104332159A CN 104332159 A CN104332159 A CN 104332159A CN 201410595192 A CN201410595192 A CN 201410595192A CN 104332159 A CN104332159 A CN 104332159A
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Abstract
The invention discloses a vehicular voice-operated system man-machine interaction method and device. A plurality of microphones filter acquired voice, the voice of different people is separated, background sound is firstly separated from noise, only the voice from a user is collected, the received voice is converted into text data, a voice cloud server recognizes the text data, a command is executed by the system if the executable command is successfully recognized, and the command is ignored if the command cannot be recognized. The system does not need to be started in the whole process, and any physical operation for starting the voice-operated system before transmitting a voice command is omitted. The voice command of the user can be collected in real time, possible operational commands from the user are intelligently discriminated, non-operable commands are ignored, the commands are more accurately discovered, analyzed and processed, and other passengers besides a driver in a vehicle can control related software and hardware operation of the vehicle through the voice.
Description
Technical field
The present invention relates to a kind of vehicle-mounted voice operating system man-machine interaction method and device.
Background technology
Along with the high speed development of China's economic, increasing family and individual have automobile.The universal development not only facilitating automobile industry of automobile, also promotes the renewal iteration of automobile correlation technique and user vehicle experience correlation technique.
Car operating system is as the brain of automobile, correlation technique is also in continuous progress, but the Consumer's Experience that the vehicle operating system on market is never enough overturned, maximum reason is that user needs to carry out many manual operations, and manual operation needs user to distract attention and the time when user drives, this, concerning not only convenient not user, will be sometimes fatal for this behavior needing user to be absorbed in especially of driving.
The continuous maturation of speech recognition, control technology, it is applied to every field widely, also has the intelligent operating system of more automobile to bring into use speech recognition and control technology.But existing speech recognition, control technology are applied in operating system and still have some problems to need to solve.
First, current all voice operating systems all need user to shift to an earlier date opening voice program, if operating system is current not when the interface at voice program place, or user drive inconvenient manually opened voice program time, user can not use voice system smoothly.
Secondly, the sound collection means multidigit of current vehicle audio operating system is in vehicle central control panel, although near driver, but concerning the passenger at other seats in automobile, because the reason of distance then likely produces and identifies out of true, identification error etc., be unfavorable for that the user beyond driver passes through voice-controlled operations.
Again, current vehicle audio operating system can only do simple part operation by voice mostly, and concentrates on the aspect such as communication, navigation, and a lot of operation still needs user manually to complete, especially vehicle hardware operation part.
Finally, current vehicle audio operating system is accurate not in identification user command, user must give an order according to pre-set voice command rule, or can give an order according to personal habits, but because the storage of data, analysis ability are limited, some voice commands of user can not be identified.
Summary of the invention
Technical matters to be solved by this invention is, for above-mentioned the deficiencies in the prior art, provides a kind of vehicle-mounted voice operating system man-machine interaction method and device.
For solving the problems of the technologies described above, the technical solution adopted in the present invention is: a kind of vehicle-mounted voice operating system man-machine interaction method, comprises the following steps:
1) multiple audiomonitor is installed in vehicle;
2) above-mentioned multiple audiomonitor filters the sound collected, and isolates the sound of different source of sound, and preserves the sound from user;
3) sound of user is sent to the voice control on vehicle operating system by audiomonitor;
4) speech data received is converted into text data by the speech processing module in voice control, and described text data is sent to speech cloud server;
5) above-mentioned text data enters the buffer area of speech cloud server, if the history voice command data that described text data hit buffer area has stored, then fill order contained for described history command data is sent to the voice control on vehicle operating system by speech cloud server, and enters step 8); If described text data does not mate with buffer area data, then enter step 6);
6) described text data enters the data analysis district of speech cloud server, data analysis district pre-arranged code device, sentence database and attributive classification district, text data is encoded to the discernible coded data in data analysis district by scrambler, then coded data is identified according to data identification rule, if sentence database that the data after identification are miss, then speech cloud server obtains the result that this order is not a voice command, and speech cloud server ignores these data automatically; If hit sentence database, then speech cloud server thinks that these data are voice commands, and these data are sent to attributive classification district, and attributive classification district identifies this order according to data identification rule again, and generates an executable command;
7) the executable command data that attributive classification district generates are sent to the voice control on vehicle operating system by speech cloud server, meanwhile, using these executable command data write buffer area as history voice command data;
8) described executable command data send on vehicle gateway or vehicle operating system by the voice execution module of voice control, and vehicle gateway or vehicle operating system perform described executable order.
After vehicle gateway or vehicle operating system perform described executable order, further comprising the steps of:
9) after if desired the further instruction of user can perform described executable order, then vehicle operating system starts voice inquiry module, and voice inquiry module sends inquiry according to the related voice instruction preset to user;
10) user answers above-mentioned inquiry;
11) above-mentioned steps 1 is repeated) ~ step 10).
12) if order is performed the further instruction still needing user, then above-mentioned steps 1 is repeated) ~ step 11), until order has been performed.
Present invention also offers a kind of vehicle-mounted voice operating system human-computer interaction device, comprising:
Multiple monitoring module, for filtering the sound collected, isolates the sound of different source of sound, and preserves the sound from user, the sound of user is sent to the voice control on vehicle operating system;
Voice control, comprises speech processing module and voice execution module, and described speech processing module is used for the speech data received to be converted into text data, and described text data is sent to speech cloud server; Voice execution module sends to vehicle gateway or vehicle operating system for the executable command data sent by speech cloud server;
Speech cloud server, comprise buffer area and data analysis district, described buffer area is for storing user's history voice command data, and judge whether described text data and buffer area user history voice command data match, if coupling, then send to the voice control on vehicle operating system by described text data; If do not mate, then text data are sent to data analysis district; Described data analysis district comprises scrambler, sentence database and attributive classification district, scrambler is used for text data to be encoded to the discernible coded data in data analysis district, then coded data is identified according to data identification rule, if sentence database that the data after identification are miss, then obtain the result that this order is not a voice command, automatically ignore this result, terminate the process to this order; If hit sentence database, then think that these data are voice commands, and these data are sent to described attributive classification district, attributive classification district identifies this order according to data identification rule again, and generates an executable command.
Compared with prior art, the beneficial effect that the present invention has is: by method of the present invention, user can by being dispersed in the microphone audiomonitor at each position of vehicle, in any one position of vehicle, any one time sends phonetic order to automobile, do not need pre-cooling voice program, user can send phonetic order according to the custom of speaking of oneself to vehicle, to vehicle all parts (as air-conditioning, car door, seat, light) and any equipment of being connected with vehicle, program is (as communication, navigation, music, calendar, alarm clock) send phonetic order, cloud database passes through specific identification, the high-volume database of learning rules and continuous renewal, more accurately identify user instruction, the user be conducive to beyond driver passes through voice-controlled operations, can automatically complete vehicle be correlated with software and hardware operation.
Embodiment
Specific implementation process of the present invention is as follows:
First: audiomonitor quantity is 4, wherein two audiomonitors are arranged on the middle car controlling machine left and right sides respectively, and two other audiomonitor arranges the central handrail box left and right sides after being arranged on vehicle respectively.
Second: above-mentioned multiple audiomonitor filters the sound collected, and isolates the sound of different source of sound, and preserve the sound from user;
3rd: the sound of user is sent to the voice control on vehicle operating system by audiomonitor;
4th: the speech data received is converted into text data by the speech processing module in voice control, and described text data is sent to speech cloud server;
5th: above-mentioned text data enters the buffer area of speech cloud server, if the history voice command data that described text data hit buffer area has stored, then fill order contained for described history command data is sent to the voice control on vehicle operating system by speech cloud server, and enters step 8); If described text data does not mate with buffer area data, then enter step 6;
6th: described text data enters the data analysis district of speech cloud server, data analysis district pre-arranged code device, sentence database and attributive classification district, text data is encoded to the discernible coded data in data analysis district by scrambler, then coded data is identified according to data identification rule, if sentence database that the data after identification are miss, then speech cloud server obtains the result that this order is not a voice command, and speech cloud server ignores these data automatically; If hit sentence database, then speech cloud server thinks that these data are voice commands, and these data are sent to attributive classification district, and attributive classification district identifies this order according to data identification rule again, and generates an executable command;
Data identification rule is as follows:
1, participle is carried out to coded data;
2, carry out fault-tolerant to the coded data after participle, server presets fault-tolerant database, and error vocabulary is replaced to correct vocabulary according to fault-tolerant database by scrambler;
3, invalid vocabulary is filtered, judge the matching degree of the data after filtering and sentence database standard statement, if find the data with sentence database standard statement matching, then the data layout of coupling turned to standard speech sentence data and jump to step 5), if can not find, jumping to step 4);
4, use Bayesian network to judge the classification belonging to data after filtering, after obtaining classification results, the data layout after filtering is turned to standard speech sentence data;
5, standard phrase data is sent to attributive classification district by scrambler, and attributive classification district identifies rear generation executable command data to described standard phrase data again according to the rule of step 1) ~ step 4).
7th: the executable command data that attributive classification district generates are sent to the voice control on vehicle operating system by speech cloud server, meanwhile, using these executable command data write buffer area as history voice command data;
8th: described executable command data send on vehicle gateway or vehicle operating system by the voice execution module of voice control, vehicle gateway or vehicle operating system perform described executable order.
After vehicle gateway or vehicle operating system perform described executable order, further comprising the steps of:
9th: after if desired the further instruction of user can perform described executable order, then vehicle operating system starts voice inquiry module, and voice inquiry module sends inquiry according to the related voice instruction preset to user;
Tenth: user answers above-mentioned inquiry;
11: repeat above-mentioned steps 1) ~ step 10).
12: if order is performed the further instruction still needing user, then repeat above-mentioned steps 1) ~ step 11), until order has been performed.
In whole process, do not need artificial open system, do not need before sending voice command, do any physical operations and start voice operating system.
Claims (5)
1. a vehicle-mounted voice operating system man-machine interaction method, is characterized in that, comprises the following steps:
1) multiple audiomonitor is installed in vehicle;
2) above-mentioned multiple audiomonitor filters the sound collected, and isolates the sound of different source of sound, and preserves the sound from user;
3) sound of user is sent to the voice control on vehicle operating system by audiomonitor;
4) speech data received is converted into text data by the speech processing module in voice control, and described text data is sent to speech cloud server;
5) above-mentioned text data enters the buffer area of speech cloud server, if the history voice command data that described text data hit buffer area has stored, then fill order contained for described history command data is sent to the voice control on vehicle operating system by speech cloud server, and enters step 8); If described text data does not mate with buffer area data, then enter step 6);
6) described text data enters the data analysis district of speech cloud server, data analysis district pre-arranged code device, sentence database and attributive classification district, text data is encoded to the discernible coded data in data analysis district by scrambler, then coded data is identified according to data identification rule, if sentence database that the data after identification are miss, then speech cloud server obtains the result that this order is not a voice command, and speech cloud server ignores these data automatically; If hit sentence database, then speech cloud server thinks that these data are voice commands, and these data are sent to attributive classification district, and attributive classification district identifies this order according to data identification rule again, and generates an executable command;
7) the executable command data that attributive classification district generates are sent to the voice control on vehicle operating system by speech cloud server, meanwhile, using these executable command data write buffer area as history voice command data;
8) described executable command data send on vehicle gateway or vehicle operating system by the voice execution module of voice control, and vehicle gateway or vehicle operating system perform described executable order.
2. vehicle-mounted voice operating system man-machine interaction method according to claim 1, is characterized in that, after vehicle gateway or vehicle operating system perform described executable order, further comprising the steps of:
9) after if desired the further instruction of user can perform described executable order, then vehicle operating system starts voice inquiry module, and voice inquiry module sends inquiry according to the related voice instruction preset to user;
10) user answers above-mentioned inquiry;
11) above-mentioned steps 1 is repeated) ~ step 10);
12) if order is performed the further instruction still needing user, then above-mentioned steps 1 is repeated) ~ step 11), until order has been performed.
3. vehicle-mounted voice operating system man-machine interaction method according to claim 2, is characterized in that, described audiomonitor is microphone.
4. vehicle-mounted voice operating system man-machine interaction method according to claim 3, is characterized in that, described data identification rule is as follows:
1) participle is carried out to coded data;
2) carry out fault-tolerant to the coded data after participle, server presets fault-tolerant database, and error vocabulary is replaced to correct vocabulary according to fault-tolerant database by scrambler;
3) invalid vocabulary is filtered, judge the matching degree of the data after filtering and sentence database standard statement, if find the data with sentence database standard statement matching, then the data layout of coupling turned to standard speech sentence data and jump to step 5), if can not find, jumping to step 4);
4) use Bayesian network to judge the classification belonging to data after filtering, after obtaining classification results, the data layout after filtering is turned to standard speech sentence data;
5) standard phrase data is sent to attributive classification district by scrambler, and attributive classification district identifies rear generation executable command data to described standard phrase data again according to the rule of step 1) ~ step 4).
5. a vehicle-mounted voice operating system human-computer interaction device, is characterized in that, comprising:
Multiple monitoring module, for filtering the sound collected, isolates the sound of different source of sound, and preserves the sound from user, the sound of user is sent to the voice control on vehicle operating system;
Voice control, comprises speech processing module and voice execution module, and described speech processing module is used for the speech data received to be converted into text data, and described text data is sent to speech cloud server; Voice execution module sends to vehicle gateway or vehicle operating system for the executable command data sent by speech cloud server;
Speech cloud server, comprise buffer area and data analysis district, described buffer area is for storing user's history voice command data, and judge whether described text data and buffer area user history voice command data match, if coupling, then send to the voice control on vehicle operating system by described text data; If do not mate, then text data are sent to data analysis district; Described data analysis district comprises scrambler, sentence database and attributive classification district, scrambler is used for text data to be encoded to the discernible coded data in data analysis district, then coded data is identified according to data identification rule, if sentence database that the data after identification are miss, then obtain the result that this order is not a voice command, automatically ignore this result, terminate the process to this order; If hit sentence database, then think that these data are voice commands, and these data are sent to described attributive classification district, attributive classification district identifies this order according to data identification rule again, and generates an executable command.
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| CN109754803A (en) * | 2019-01-23 | 2019-05-14 | 上海华镇电子科技有限公司 | Vehicle multi-sound area voice interactive system and method |
| CN111306709A (en) * | 2020-01-20 | 2020-06-19 | 海信视像科技股份有限公司 | Air conditioner |
| CN112118311A (en) * | 2020-09-17 | 2020-12-22 | 北京百度网讯科技有限公司 | Information vehicle-mounted interaction method, device, equipment and storage medium |
| CN112118311B (en) * | 2020-09-17 | 2023-10-27 | 阿波罗智联(北京)科技有限公司 | Information vehicle-mounted interaction method, device, equipment and storage medium |
| CN112820271A (en) * | 2021-01-09 | 2021-05-18 | 江苏威尔曼科技有限公司 | Voice calling landing system with intelligent recognition function |
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