CN104240700A - Global voice interaction method and system for vehicle-mounted terminal device - Google Patents
Global voice interaction method and system for vehicle-mounted terminal device Download PDFInfo
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Abstract
The invention discloses a global voice interaction method for a vehicle-mounted terminal device. The global voice interaction method for the vehicle-mounted terminal device comprises the following steps that (1) the natural voice of a user is acquired; (2) the natural voice is converted into textual words, and semantic analysis is conducted on the textual words; (3) if a semantic analysis result is a direct command, the command is executed directly, and if the semantic analysis result is not a direct command, the step (4) is executed; (4) searching is conducted according to the semantic analysis result, and one searching result is selected to serve as the optimal result; (5) parameter testing is conducted on the optimal result, and a matching result is obtained; (6) the matching result is transmitted to a corresponding application module or a corresponding functional module, and then the command is executed. By the adoption of the global voice interaction method for the vehicle-mounted terminal device, the whole operation process of a driver can be input simply by one-time key pressing and one natural sentence, corresponding feedback can also be broadcast in the voice form, cooperation between eyes and hands is not needed in the whole process, and driving safety and operation convenience are improved greatly.
Description
Technical field
The present invention relates to a kind of man-machine interaction method, particularly relate to a kind of overall voice interactive method towards vehicle-mounted terminal equipment, relating to the overall voice interactive system for realizing said method simultaneously, belonging to vehicle-mounted human-computer interaction technique field.
Background technology
In car steering process, if driver needs to use navigation feature, navigation starting, place input need be completed, select and confirm operation by button, knob and touch-screen isotype.Similarly, if need to use music or radio function, driver need be realized the opening of music or broadcast, play and switch the operations such as selection by button, knob and touch-screen equally.In aforesaid operations process, driver needs trick to coordinate to have come aforesaid operations.And driver is when carrying out aforesaid operations, hand have left bearing circle, and the sight line of eyes have left the front of vehicle simultaneously, and then pays close attention to the operating position in car.Can cause like this driving risk greatly.
In order to solve the problem, people have carried out many-sided technology exploration.Be such as in the Chinese utility model patent of 202092650U at notification number, disclose a kind of vehicle mounted multimedia of the Voice Navigation with button.In this patent document, disclose following operation steps: A. presses speech recognition controlled button, voice conversion module receives phonetic order; B. sound identification module voice command recognition; C. the phonetic order after identification associates with address instruction with the steering order of described navigation module by instruction transformation module one by one; D. the steering order of navigation module and address instruction are handed down to navigation module by master controller; E. navigation module starts navigation.This utility model can make the eyes of driver stare at screen, achieves the function of safe driving, safety navigation, and easy for installation.But user needs the training carrying out certain hour, to be familiar with various control command, cause great inconvenience to user.
Be in the Chinese patent application of 103295572A at publication number, disclose a kind of audio recognition method, comprise the steps: that A, system carry out detecting identifying the need of to voice signal, if needed, then turn to step B, otherwise, continue to detect; B, acquisition voice audio signals, carry out denoising and amplification to sound signal; C, sound signal to be identified, and recognition result is read and carries out order word class judgement, if display class order word, turn to step D, otherwise turn to step e; D, carry out result display and voice broadcast and terminate this controlling end of identification; E, then carry out order word rank judge, if father's control command, turn to step F, if leaf control command then turns to step G; F, carry out voice broadcast prompting and voice typing, proceed to step B; G, execution leaf steering order, proceed to step D.The method is used for overcoming the jejune shortcoming of navigation chip processing power finite sum speech recognition, significantly can improve efficiency and the effect of speech recognition.But the technical schemes such as the method does not relate to semantic analysis, order is gone directly, there is certain defect in practicality.
Summary of the invention
For the deficiencies in the prior art, primary technical matters to be solved by this invention is to provide a kind of overall voice interactive method towards vehicle-mounted terminal equipment.
Another technical matters to be solved by this invention is to be provided for a kind of overall voice interactive system realizing said method.
For achieving the above object, the present invention adopts following technical scheme:
Towards an overall voice interactive method for vehicle-mounted terminal equipment, comprise the following steps:
(1) natural-sounding of user is gathered;
(2) convert described natural-sounding to text, and semantic analysis is carried out to described text;
(3) if described semantic analysis result is through order, then direct fill order; If not, then go to step (4);
(4) search for according to described semantic analysis result, and from Search Results, select one of them as optimal result;
(5) parameter testing is carried out to described optimal result, obtain matching result;
(6) described matching result is sent to corresponding application component or functional module, fill order.
Wherein more preferably, described step (2) is further comprising the steps:
(21) when receiving the character stream of text, identifying one by one from described character stream and extracting Text Command string, and described Text Command string is deposited in both the buffers;
(22) the described Text Command string that taking-up one is pending from described buffer, carries out lexical analysis to pending described Text Command string, to obtain described order vocabulary;
(23) grammatical analysis is carried out, to obtain parse tree to each order vocabulary in described order vocabulary;
(24) travel through described parse tree, find the semantic attribute that each node is corresponding, thus obtain the syntactic structure body of described text.
Wherein more preferably, in described step (5), parameter testing comprises motion test, classification test and data test.
Wherein more preferably, after described parameter testing terminates, return a relevant parameter, described relevant parameter is used for identifying the application component corresponding with described optimal result or functional module.
Towards an overall voice interactive system for vehicle-mounted terminal equipment, for realizing above-mentioned overall voice interactive method, comprising: voice acquisition module, sound identification module, semantic meaning analysis module and content direct module, wherein,
Described voice acquisition module is connected with described sound identification module, and described semantic meaning analysis module one end is connected with described sound identification module, and the other end is connected with described content direct module.
Wherein more preferably, described content direct module carries out parameter testing, comprises motion test, classification test and data test.
In described motion test, described content direct module comprises an action lists, and this action lists comprises multiple action, and can not be empty; The action of described content direct module coupling optimal result, compares one by one with the everything in described action lists, if both actions are identical, then test is passed through; If action lists is empty, then tests and do not pass through; If optimal result is required movement not, and the action lists of content direct module is not empty, then test is passed through.
In the test of described classification, if the some type matchings in each type of optimal result and described content direct module, matching process is identical with motion test, then this optimal result is tested by classification.
In described data test, each Search Results specifies an exclusive identification code and a data type, and each part of described exclusive identification code is different attribute; When comparing in the exclusive identification code in optimal result and described content direct module, only and the part defined in described content direct module compare.
Wherein more preferably, after described content direct module terminates parameter testing, return a relevant parameter, described relevant parameter is used for identifying the application component corresponding with described optimal result or functional module; Described relevant parameter is sent to corresponding application component or functional module, fill order.
Compared with prior art, the present invention has following beneficial effect:
1. simple operation: all operations of driver in driving procedure, only needs user to press " button " combination " in short " (natural language) on the steering wheel and can complete corresponding operation.
2. support full natural language: only need driver conveniently natural grammer say and need that what does and get final product complete operation, without the need to the restriction order that learning and memory is any.
Accompanying drawing explanation
Fig. 1 is the step schematic diagram of overall voice interactive method provided by the present invention;
Fig. 2 is the workflow diagram of overall voice interactive method provided by the present invention;
Fig. 3 is the structured flowchart of overall voice interactive system provided by the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, technology contents of the present invention is described in further detail.
Traditional car machine interworking flow process is: the first step, and user uses button or screen touch screen to click navigation (or other application); Second step, user clicks the input frame in application; 3rd step, user uses the mode such as phonetic, stroke to input objective title; 4th step, clicks search button; 5th step, user selects your destination or departure place; 6th step, user selects the path of navigating, and navigation starts.In whole process, user needs to touch or click screen more than 10 times, estimates that the running time is about 2 minutes.Because whole operating process must coordinate the operations such as button, click, knob, stroke just can complete information input by trick, great driving dangerousness being caused, operating so user all needs when using traditional navigation parking to focus one's attention in roadside.
For above-mentioned shortcoming, the invention discloses a kind of overall voice interactive method towards vehicle-mounted terminal equipment, be the job step of this overall voice interactive method shown in Fig. 1, specifically comprise:
(1) voice of user are gathered;
(2) described speech conversion is become text, and semantic analysis is carried out to described text;
(3) if described semantic analysis result is through order, then direct fill order; If not, then go to step (4);
(4) search for according to described semantic analysis result, and from Search Results, select one of them as optimal result;
(5) parameter testing is carried out to described optimal result, obtain matching result;
(6) described matching result is sent to corresponding application program, by application program fill order.
Fig. 2 is the workflow of this overall voice interactive method.User at any time or in interface, clicks voice key (the dedicated voice button in system or the Voice command key on bearing circle), says with natural language the thing that user wishes to do.Overall situation voice interactive system is by sound collection, the laggard row speech recognition of noise reduction filtering, then to identifying that the text obtained carries out semantic analysis, the intention of user is judged according to semantic analysis result, identify corresponding order, and then call the interface of corresponding application program or system function module, obtain corresponding information, finally realize customer objective.
Wherein, the dissection process process of text comprises the following steps:
1., when receiving the character stream of text, identifying one by one from character stream and extracting above-mentioned Text Command string, and being deposited in both the buffers;
2. the Text Command string that taking-up one is pending from buffer, according to the method rule of Text Command string, carries out lexical analysis to pending Text Command string, to obtain order vocabulary;
3. each order vocabulary in pair order vocabulary carries out grammatical analysis, to obtain parse tree;
4. travel through parse tree, find the semantic attribute that each node is corresponding, thus obtain User Defined structure.
Wherein, character stream comprises other protocol-control-informations.Perform following process in step 2: pending text string is scanned character by character; When running into the character less than identifying, determining lexical analysis failure, proceeding to text and resolving failure handling; And when successfully identifying each character, obtain order vocabulary.
Perform following process in step 3: carry out driving condition migration according to order vocabulary; And when order vocabulary is empty, and when syntax analyzer is in final state, determines grammatical analysis success, obtain parse tree, otherwise grammatical analysis failure, proceeds to text and resolves failure handling.
Perform following process in step 4: preorder traversal is carried out to parse tree; When having access to a node of parse tree, query semantics attribute list, finds corresponding semantic attribute; If do not find corresponding semantic attribute, then represent that the key word that text word does not exist or this node place describes does not exist, proceed to text and resolve failure handling; If find corresponding semantic attribute, then according to the indication structure User Defined structure of semantic attribute.
Wherein, when finding corresponding semantic attribute, perform following operation: check whether each essential sub-attribute of this semantic attribute all exists, and whether has default value to use when not existing; Judge whether to apply for new Existential Space according to the storage class of this attribute and data type, and apply for much storage spaces; The position offset of this attribute in father's attribute storage space; And construct above-mentioned User Defined structure according to these indication informations.
Semantic attribute table is custom data structure is Hash table, and its hash key is attribute-name.Semantic attribute describes the semantic feature of a command keyword of a text, and semantic attribute at least comprises: attribute-name, storage class, data type and memory location, is used to indicate the information that how to process the key word of text and represents.
Judge according to semantic analysis and analysis result, if user says is not effective order, to user feedback relevant information; If what user said is effective order, then continue to judge whether this semantic analysis and analysis result are direct commands.If direct command, then overall voice interactive system directly performs related command; If not direct command, then this semantic analysis and analysis result are sent in corresponding application component or functional module, and by the search interface of this application component or functional module, semantic analysis result is retrieved as keyword, Search Results can have multiple, one or do not find.When not finding Search Results, prompting user does not find Search Results; When only having a Search Results, put it into content direct module; When there being multiple Search Results, allowing user to select a result, or being set to default behavior and automatically selecting one as optimal result, and this optimal result is put into content direct module.
Content direct module carries out parameter matching to receiving optimal result, comprises motion test, classification test and data test.Describe in detail each concrete test process below.
First, content direct module carries out motion test to optimal result, and content direct module comprises an action lists, and this action lists comprises multiple action, and can not be empty, otherwise will all actions be organized to export.The action of content direct module coupling optimal result, optimal result can only specify an action, compares one by one with the everything in action lists, if both actions are identical, then test is passed through; The list of content direct module action is empty, then motion test is not passed through; Optimal result is required movement not, and the action lists of content direct module is not empty, then test is passed through.
Again, content direct module carries out classification test to optimal result, and the some type matchings in module if each type and content of optimal result goes directly, matching process is identical with motion test, then this optimal result is tested by classification.
Finally, content direct module carries out data test to optimal result, and each Search Results specifies an exclusive identification code and a data type.Each part in exclusive identification code is different attribute, comprising: scheme, host, port, path.These attributes are all optional, but not separate.When the corresponding content in the exclusive identification code in optimal result and content direct module compares, only and the part defined in content direct module compare.Such as, if define scheme in content direct module, all Search Results objects that so exclusive identification code comprises this scheme all pass through test, for path, can use asterisk wildcard to mate.The data of optimal result also specify data type, under normal circumstances, " * " asterisk wildcard can be used as subtype.
If optimal result is by the matching treatment of content direct module, content direct module can feed back a corresponding supplemental characteristic, this supplemental characteristic is used for determining the application component belonging to above-mentioned optimal result or functional module, content direct module this supplemental characteristic is submitted to affiliated application component or functional module performs user command, starts related function module display and play content.If without effective content, then to user feedback relevant information.
Present invention also offers a kind of overall voice interactive system towards vehicle-mounted terminal equipment, for realizing above-mentioned overall voice interactive method.Fig. 3 shows the one-piece construction of this overall voice interactive system.This overall voice interactive system comprises: voice acquisition module, sound identification module, semantic meaning analysis module and content direct module.Gather user speech after voice module is activated, carry out preserving after collection sending sound identification module to simultaneously; Sound identification module carries out analyzing and processing to user speech, converts the form of text to and sends semantic meaning analysis module to; Semantic meaning analysis module is carried out grammatical analysis to text and is obtained semantic analysis result; Judge whether semantic analysis result is through order, if it is directly forward corresponding application component to perform, if not through order, then this semantic analysis result is sent to content direct module, content direct module carries out parameter testing, find the application component or functional module that match with semantic analysis result, perform user command, navigation starts.
The present invention controls button by bearing circle and overall voice interactive system solves user when using traditional vehicle machine various functions, because needs trick coordinates, user's sight line is caused to leave the hand departure direction dish of road ahead, user, and the potential driving safety problem caused.Utilize the present invention, the whole operating process of driver only needs one-touch and a natural language to complete input, feedback is reported in the form of speech, whole process coordinates without the need to trick, original loaded down with trivial details time-consuming operation is made to become very naturally easy, within used time remains on 5 ~ 10 seconds, greatly improve drive safety and operation ease.
Above the overall voice interactive method towards vehicle-mounted terminal equipment provided by the present invention and system are described in detail.To those skilled in the art, to any apparent change that it does under the prerequisite not deviating from connotation of the present invention, all by formation to infringement of patent right of the present invention, corresponding legal liabilities will be born.
Claims (10)
1., towards an overall voice interactive method for vehicle-mounted terminal equipment, it is characterized in that comprising the following steps:
(1) natural-sounding of user is gathered;
(2) convert described natural-sounding to text, and semantic analysis is carried out to described text;
(3) if described semantic analysis result is through order, then direct fill order; If not, then go to step (4);
(4) search for according to described semantic analysis result, and from Search Results, select one of them as optimal result;
(5) parameter testing is carried out to described optimal result, obtain matching result;
(6) described matching result is sent to corresponding application component or functional module, fill order.
2. overall voice interactive method as claimed in claim 1, is characterized in that,
Described step (2) is further comprising the steps:
(21) when receiving the character stream of text, identifying one by one from described character stream and extracting Text Command string, and described Text Command string is deposited in both the buffers;
(22) the described Text Command string that taking-up one is pending from described buffer, carries out lexical analysis to pending described Text Command string, to obtain described order vocabulary;
(23) grammatical analysis is carried out, to obtain parse tree to each order vocabulary in described order vocabulary;
(24) travel through described parse tree, find the semantic attribute that each node is corresponding, thus obtain the syntactic structure body of described text.
3. overall voice interactive method as claimed in claim 1, is characterized in that:
In described step (5), described parameter testing comprises motion test, classification test and data test.
4. overall voice interactive method as claimed in claim 3, is characterized in that:
After described parameter testing terminates, return a relevant parameter, described relevant parameter is used for identifying the application component corresponding with described optimal result or functional module.
5. the overall voice interactive system towards vehicle-mounted terminal equipment, for realizing the overall voice interactive method in Claims 1 to 4 described in any one, it is characterized in that comprising: voice acquisition module, sound identification module, semantic meaning analysis module and content direct module, wherein
Described voice acquisition module is connected with described sound identification module, and described semantic meaning analysis module one end is connected with described sound identification module, and the other end is connected with described content direct module.
6. overall voice interactive system as claimed in claim 5, is characterized in that:
Described content direct module carries out parameter testing, comprises motion test, classification test and data test.
7. overall voice interactive system as claimed in claim 6, is characterized in that:
In described motion test, described content direct module comprises an action lists, and this action lists comprises multiple action, and can not be empty; The action of described content direct module coupling optimal result, compares one by one with the everything in described action lists, if both actions are identical, then test is passed through; If action lists is empty, then tests and do not pass through; If optimal result is required movement not, and the action lists of content direct module is not empty, then test is passed through.
8. overall voice interactive system as claimed in claim 6, is characterized in that:
In the test of described classification, if the some type matchings in each type of optimal result and described content direct module, matching process is identical with motion test, then this optimal result is tested by classification.
9. overall voice interactive system as claimed in claim 6, is characterized in that:
In described data test, each Search Results specifies an exclusive identification code and a data type, and each part of described exclusive identification code is different attribute; When comparing in the exclusive identification code in optimal result and described content direct module, only and the part defined in described content direct module compare.
10. overall voice interactive system as claimed in claim 6, is characterized in that:
After described content direct module terminates parameter testing, return a relevant parameter, described relevant parameter is used for identifying the application component corresponding with described optimal result or functional module; Described relevant parameter is sent to corresponding application component or functional module, fill order.
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| CN108428450B (en) * | 2017-02-15 | 2021-10-22 | 斑马智行网络(香港)有限公司 | Operation instruction processing method and device |
| CN107146610A (en) * | 2017-04-10 | 2017-09-08 | 北京猎户星空科技有限公司 | A kind of determination method and device of user view |
| CN107273227A (en) * | 2017-06-30 | 2017-10-20 | 百度在线网络技术（北京）有限公司 | Using communication means, device, equipment and storage medium |
| CN108776490A (en) * | 2018-04-23 | 2018-11-09 | 西安电子科技大学 | A kind of aircraft script control method based on semantic analysis |
| CN109284505A (en) * | 2018-11-07 | 2019-01-29 | 江苏中润普达信息技术有限公司 | It is a kind of for vehicle-mounted natural language semantic analysis |
| CN112435660A (en) * | 2019-08-08 | 2021-03-02 | 上海博泰悦臻电子设备制造有限公司 | Vehicle control method and system and vehicle |
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