CN110217242A - A kind of auto navigation audio recognition method and system - Google Patents
A kind of auto navigation audio recognition method and system Download PDFInfo
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- CN110217242A CN110217242A CN201910341220.3A CN201910341220A CN110217242A CN 110217242 A CN110217242 A CN 110217242A CN 201910341220 A CN201910341220 A CN 201910341220A CN 110217242 A CN110217242 A CN 110217242A
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- signal
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- auto navigation
- speech
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- 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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- 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
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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
- G10L25/78—Detection of presence or absence of voice signals
-
- 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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The present invention relates to a kind of auto navigation audio recognition method and systems, this method comprises: acquiring voice signal to be identified when receiving speech-input instructions；The voice signal to be identified is converted to the first signal；Extract the speech characteristic parameter in first signal；The speech characteristic parameter is matched with predetermined keyword, obtains matching keywords；It identifies the matching keywords, obtains auto navigation speech recognition result.Technical solution provided by the invention facilitates driver to use by the multi task process to voice signal so that the efficiency and quality of speech recognition all increase, and improves the quality of navigation.
Description
Technical field
The invention belongs to technical field of voice recognition more particularly to a kind of auto navigation audio recognition method and systems.
Background technique
The latest development trend of onboard navigation system is to receive the letter that vehicle GPS is sent using blue tooth wireless technology
Number, onboard system only needs to receive and handle satellite-signal, the overlapping of the display device then storage of charge map and position, mostly
Several onboard navigation systems utilizes vision display system, and as the interface of man-machine communication, some then provide voice system, allows people
Directly talk with navigation system, reminded with voice person for driving a car when the turning, when this exits highway, and what is had vehicle-mounted leads
Boat system can also have different language to show, some can also to tell you local speed limit, road conditions and your average speed.
Speech recognition is that a very important ring is avoided that on the screen by the use of speech recognition on auto navigation
Using the inconvenient of button operation when inputting destination, while the problem of not can be carried out operation when driving is avoided, mentioned
The safety that height drives.
However, existing speech recognition engine discrimination is low, voice messaging can not be handled, so as to cause noise compared with
It is more, so that most of recognition result differs larger with expected result.The recognition result to sort from high to low according to similarity simultaneously
User is returned to, can to pronounce non-type user to require to take much time every time and look for required recognition result, no
Conducive to safety traffic.
Accordingly, it is desirable to provide a kind of auto navigation audio recognition method and system solve the deficiencies in the prior art.
Summary of the invention
In order to solve the problems, such as that auto navigation voice can not accurately identify in the prior art, the present invention provides a kind of automobiles
Navigation audio recognition method and system.
A kind of auto navigation audio recognition method, comprising:
When receiving speech-input instructions, voice signal to be identified is acquired；
The voice signal to be identified is converted to the first signal；
Extract the speech characteristic parameter in first signal；
The speech characteristic parameter is matched with predetermined keyword, obtains matching keywords；
It identifies the matching keywords, obtains auto navigation speech recognition result.
Further, before the voice signal to be identified being converted to the first signal, the method also includes:
The voice signal to be identified is handled.
Further, carrying out processing to the voice signal to be identified includes:
End-point detection is carried out to the voice signal；
Signal de-noising is carried out to the voice signal after end-point detection；
Spectrum analysis is carried out to the voice signal after noise reduction.
Further, the voice signal to be identified is converted to the first signal, comprising:
Using analog/digital conversion, by treated, voice signal is converted into digital signal；
The digital signal is filtered, the first signal is obtained.
A kind of auto navigation speech recognition system, comprising:
Navigation indicator, for when receiving speech-input instructions, acquiring voice signal to be identified；
Signal converter, for the voice signal to be identified to be converted to the first signal；
Feature extractor, for extracting the speech characteristic parameter in first signal；
It is crucial to obtain matching for matching the speech characteristic parameter with predetermined keyword for keyword matcher
Word；
Keyword identifier, the matching keywords, obtain auto navigation speech recognition result for identification.
Further, the navigation indicator includes:
Sound collector, for acquiring voice signal to be identified.
Further, the navigation indicator further include:
Display screen, for showing voice signal recognition result；With
Audio output apparatus, the speech recognition result for exporting.
It further, further include processor, the processor includes:
End point detector, for carrying out end-point detection to the voice signal；
First filter, for carrying out signal de-noising to the voice signal after end-point detection；
Spectrum analyzer, for carrying out spectrum analysis to the voice signal after noise reduction.
Further, the signal converter includes:
Analog-digital converter, for voice signal to be converted into digital signal by treated；
Second filter obtains the first signal for being filtered to the digital signal.
Technical solution provided by the invention has the advantages that compared with the immediate prior art
Technical solution provided by the invention acquires voice signal to be identified when receiving speech-input instructions, by institute
It states voice signal to be identified and is converted to the first signal, then extract the speech characteristic parameter in first signal, will extract
Speech characteristic parameter matched with predetermined keyword, obtain matching keywords, finally identify that the matching keywords obtain vapour
Vehicle navigation speech recognition result.The present invention is by first converting voice signal, removing the noise in voice signal and inciting somebody to action
Analog signal is converted to digital signal, can effectively improve the extraction of speech characteristic parameter, so that Keywords matching is more accurate,
To be conducive to promote the efficiency and quality of identification, facilitates driver to use, improve the quality of navigation.
Detailed description of the invention
Fig. 1 is auto navigation audio recognition method flow chart in the embodiment of the present invention；
Fig. 2 is auto navigation speech recognition system schematic diagram in the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1, being applied to using auto navigation hand the present invention provides a kind of auto navigation audio recognition method
When dynamic input inconvenience, this method comprises:
When receiving speech-input instructions, voice signal to be identified is acquired；
The voice signal to be identified is converted to the first signal；
Extract the speech characteristic parameter in first signal；
The speech characteristic parameter is matched with predetermined keyword, obtains matching keywords；
It identifies the matching keywords, obtains auto navigation speech recognition result.
In the embodiment of the present application, when receiving speech-input instructions, acquire voice signal to be identified, will it is described to
The voice signal of identification is converted to the first signal, then extracts the speech characteristic parameter in first signal, by the language of extraction
Sound characteristic parameter is matched with predetermined keyword, obtains matching keywords, finally identifies that the matching keywords obtain automobile and lead
Boat speech recognition result.The present invention is by first converting voice signal, removing the noise in voice signal and simulating
Signal is converted to digital signal, can effectively improve the extraction of speech characteristic parameter, so that Keywords matching is more accurate, thus
The efficiency and quality for being conducive to be promoted identification, facilitate driver to use, improve the quality of navigation.
In some embodiments of the present application, before the voice signal to be identified is converted to the first signal, the party
Method further include:
The voice signal to be identified is handled.
Wherein, processing includes: to carry out end-point detection to the voice signal；Letter is carried out to the voice signal after end-point detection
Number noise reduction；Spectrum analysis is carried out to the voice signal after noise reduction.
In some embodiments of the present application, the voice signal to be identified is converted to the first signal, comprising:
Using analog/digital conversion, by treated, voice signal is converted into digital signal；
The digital signal is filtered to obtain the first signal.
In some embodiments of the present application, the overall procedure of the application is as follows:
Driver needs the place name that reaches by voice input, and navigation indicator is by voice described in driver
Information is acquired and driver is prompted to confirm, navigation indicator includes sound collector, display screen and audio output
Equipment.Since driver is inputted by voice, driver can input in driving, avoid driving
The personnel of sailing divert one's attention to be manually entered, after guaranteeing that the safety of vehicle driving, sound collector receive sound described in driver,
Driver is prompted tentatively to be confirmed by audio output apparatus.
After driver's confirmation, the voice signal of acquisition is handled, removes the noise in voice signal, improves language
The accuracy rate of the characteristic parameter extraction of message breath.Preliminary treatment is carried out to the voice signal of acquisition, to reduce in voice signal
Other disturbing factors such as noise, be conducive to subsequent operation.
It wherein, include end-point detection, signal noise elimination, spectrum analysis to the processing of voice signal.
Speech characteristic parameter includes the amplitude and frequency of sound.
Voice signal after removal noise is converted to digital signal, can effectively improve the efficiency and matter of digitized processing
Amount extracts the speech characteristic parameter in voice signal, carries out characteristic matching by keyword matcher, keyword matcher can be with
Speech characteristic parameter in voice is extracted and identified, is believed by the relevant keyword being pre-stored in keyword matcher
Breath is extracted and is identified.Digitized processing is converted by analog/digital converter, and the first signal is obtained, by
Speech characteristic parameter in one signal is matched with the predetermined keyword in keyword matcher, to match matching degree
Highest keyword is combined.
The keyword matched is identified by keyword identifier, if recognition failures, prompts to re-enter language
Message breath, and repeat the above steps, the key word information matched again is exported by audio output apparatus, prompts driver
Reaffirm result.If being identified as function, recognition result is determined, and recognition result is sent to navigation indicator and is shown,
And driver is prompted to confirm, recognition result is sent to navigator main controller after confirming successfully.Navigator main controller packet
Include electronic map search module, link block, GPS positioning module and auto navigation signaling module.
After the confirmation of navigator main controller receives information, start to position current location and target position.Navigator main controller
By the cooperation of electronic map search module, link block, GPS positioning module and auto navigation signaling module etc., to position
Current location and target position, by receiving the signal of GPS satellite and by the cooperation of electronic map search module, in electronics
Current location and target position are oriented on map.
If target position cannot be positioned, then the voice messaging of target position is re-entered in prompt, and repeats the above steps,
It is carried out in next step after can successfully position and determine target position on the electronic map.If successfully positioning target position, start
Plan optimal route.After having planned optimal route, optimal route is sent to navigation indicator, position locating for real-time display vehicle
It sets, and driver can be reminded properly to turn by audio output apparatus, when this exits highway and scorch people
The information such as the speed of member's speed limit of present road, road conditions and current vehicle, thus guarantee driver can smooth ride, support safely
Up to destination.
In this application, the place name that driver needs to reach by voice input, omniselector display module pass through
Voice messaging described in driver is acquired and driver is prompted to confirm by audio output apparatus module, driver
After member confirms voice messaging, collected voice messaging is handled, including the elimination of end-point detection, signal noise,
Spectrum analysis can effectively remove the noise in voice messaging, to improve the characteristic value of voice messaging, and will treated voice
Information uses analog/digital conversion, obtains the first signal, carries out High frequency filter and bandpass filtering to the first signal, goes unless language
Sound interference signal, to obtain digital signal, eliminated by end-point detection, signal noise and spectrum analysis treated that voice is believed
Breath can improve the efficiency and quality of digitized processing, to facilitate the feature extracted in information, and be carried out by keyword module
Characteristic matching, keyword module can be extracted and be identified to characteristic information, and relevant keyword is pre-stored in keyword module
Information after being matched to suitable keyword, is known for characteristic information to be extracted and identified according to key word information
Do not confirm, confirm successfully, carries out in next step, it is unsuccessful, then voice messaging is re-entered by the prompt of audio output apparatus module
And processing and matching are re-started, after the completion of matching, the result of identification is sent to the LED screen module of omniselector display module
With audio output apparatus module, driver is prompted to confirm, confirms and successfully carry out in next step, it is unsuccessful then again to acquisition
To information handled, communicate information to navigator main controller after confirming successfully, the confirmation of navigator main controller receives information
Afterwards, start to position current location and target position, when that can not determine target position, audio output apparatus module is prompted again
It inputs the voice messaging of target position and is handled, after confirming target position, plan current location to target position most
Major path, and optimal route is transmitted on omniselector display module, so that convenient pass through LED screen module and audio output apparatus
Module prompt driver drives.
Based on identical inventive concept, the present invention also provides a kind of auto navigation speech recognition systems, as shown in Fig. 2, should
System includes:
Navigation indicator, for when receiving speech-input instructions, acquiring voice signal to be identified；
Signal converter, for the voice signal to be identified to be converted to the first signal；
Feature extractor, for extracting the speech characteristic parameter in first signal；
It is crucial to obtain matching for matching the speech characteristic parameter with predetermined keyword for keyword matcher
Word；
Keyword identifier, the matching keywords, obtain auto navigation speech recognition result for identification.
In some embodiments of the present application, the navigation indicator includes:
Sound collector, for acquiring voice signal to be identified.
In some embodiments of the present application, the navigation indicator further include:
Display screen, for showing voice signal recognition result；With
Audio output apparatus, the speech recognition result for exporting.
It further include processor in some embodiments of the present application, the processor includes:
End point detector, for carrying out end-point detection to the voice signal；
First filter, for carrying out signal de-noising to the voice signal after end-point detection；
Spectrum analyzer, for carrying out spectrum analysis to the voice signal after noise reduction.
In some embodiments of the present application, the signal converter includes:
Analog-digital converter, for voice signal to be converted into digital signal by treated；
Second filter obtains the first signal for being filtered to the digital signal.
It should be noted that, in this document, the relational terms of such as " first " and " second " or the like are used merely to one
A entity or operation with another entity or operate distinguish, without necessarily requiring or implying these entities or operation it
Between there are any actual relationship or orders.
It is understood that embodiments described herein can with hardware, software, firmware, middleware, microcode or its
Combination is to realize.For hardware realization, processing unit be may be implemented in one or more specific integrated circuit (Application
Specific Integrated Circuits, ASIC), digital signal processor (Digital Signal Processing,
DSP), digital signal processing appts (DSP Device, DSPD), programmable logic device (Programmable Logic
Device, PLD), field programmable gate array (Field-Programmable Gate Array, FPGA), general processor,
In controller, microcontroller, microprocessor, other electronic units for executing herein described function or combinations thereof.
For software implementations, the techniques described herein can be realized by executing the unit of function described herein.Software generation
Code is storable in memory and is executed by processor.Memory can in the processor or portion realizes outside the processor.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided herein, it should be understood that disclosed device and method can pass through others
Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of device or unit
It connects, can be electrical property, mechanical or other forms.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the embodiment of the present invention is substantially
The part of the part that contributes to existing technology or the technical solution can embody in the form of software products in other words
Come, which is stored in a storage medium, including some instructions are used so that a computer equipment (can
To be personal computer, server or the network equipment etc.) execute all or part of each embodiment the method for the present invention
Step.And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, ROM, RAM, magnetic or disk etc. are various can store program
The medium of code.
It should be noted that the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (9)
1. a kind of auto navigation audio recognition method characterized by comprising
When receiving speech-input instructions, voice signal to be identified is acquired；
The voice signal to be identified is converted to the first signal；
Extract the speech characteristic parameter in first signal；
The speech characteristic parameter is matched with predetermined keyword, obtains matching keywords；
It identifies the matching keywords, obtains auto navigation speech recognition result.
2. a kind of auto navigation audio recognition method according to claim 1, which is characterized in that by the language to be identified
Sound signal is converted to before the first signal, the method also includes:
The voice signal to be identified is handled.
3. a kind of auto navigation audio recognition method according to claim 2, which is characterized in that the language to be identified
Sound signal carries out processing
End-point detection is carried out to the voice signal；
Signal de-noising is carried out to the voice signal after end-point detection；
Spectrum analysis is carried out to the voice signal after noise reduction.
4. a kind of auto navigation audio recognition method according to claim 2, which is characterized in that by the language to be identified
Sound signal is converted to the first signal, comprising:
Using analog/digital conversion, by treated, voice signal is converted into digital signal；
The digital signal is filtered, the first signal is obtained.
5. a kind of auto navigation speech recognition system characterized by comprising
Navigation indicator, for when receiving speech-input instructions, acquiring voice signal to be identified；
Signal converter, for the voice signal to be identified to be converted to the first signal；
Feature extractor, for extracting the speech characteristic parameter in first signal；
Keyword matcher obtains matching keywords for matching the speech characteristic parameter with predetermined keyword；
Keyword identifier, the matching keywords, obtain auto navigation speech recognition result for identification.
6. a kind of auto navigation speech recognition system according to claim 5, which is characterized in that the navigation indicator packet
It includes:
Sound collector, for acquiring voice signal to be identified.
7. a kind of auto navigation speech recognition system according to claim 6, which is characterized in that the navigation indicator is also
Include:
Display screen, for showing voice signal recognition result；With
Audio output apparatus, the speech recognition result for exporting.
8. a kind of auto navigation speech recognition system according to claim 5, which is characterized in that it further include processor, institute
Stating processor includes:
End point detector, for carrying out end-point detection to the voice signal；
First filter, for carrying out signal de-noising to the voice signal after end-point detection；
Spectrum analyzer, for carrying out spectrum analysis to the voice signal after noise reduction.
9. a kind of auto navigation speech recognition system according to claim 5, which is characterized in that the signal converter packet
It includes:
Analog-digital converter, for voice signal to be converted into digital signal by treated；
Second filter obtains the first signal for being filtered to the digital signal.
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