CN104990553A - Hand-held vehicle terminal C-Pad intelligent navigation system and working method thereof - Google Patents
Hand-held vehicle terminal C-Pad intelligent navigation system and working method thereof Download PDFInfo
- Publication number
- CN104990553A CN104990553A CN201410833578.5A CN201410833578A CN104990553A CN 104990553 A CN104990553 A CN 104990553A CN 201410833578 A CN201410833578 A CN 201410833578A CN 104990553 A CN104990553 A CN 104990553A
- Authority
- CN
- China
- Prior art keywords
- module
- speech
- characteristic parameter
- guider
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/3608—Destination input or retrieval using speech input, e.g. using speech recognition
Abstract
The present invention relates to a hand-held vehicle terminal C-Pad intelligent navigation system and a working method thereof. The hand-held vehicle terminal C-Pad intelligent navigation system comprises a navigation device and a vehicle terminal base for placing the navigation device, wherein a wireless transmission module is arranged inside the vehicle terminal base, the wireless transmission module and a wireless module inside the navigation device are subjected to wireless matching when the navigation device is placed on the vehicle terminal base, the navigation device comprises a processor module, the processor module is connected with the wireless module so as to switch the function of the navigation device after the wireless matching, the navigation device further comprises a GPS module, a storage unit and a display module, the GPS module is connected with the processor module through a conditioning module and is used for positioning a driving route, the storage unit stores electronic maps, the navigation device is further connected to a driving computer so as to obtain fuel consumption information, and the processor module is further used for recording the fuel consumption information corresponding to the route according to the driving route and displaying the fuel consumption information through the display module.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of hand-held car machine C-Pad intelligent guidance system.
Background technology
Traditional vehicle mounted guidance is Integral design, and it embeds in vehicle and controls, and cannot take out, therefore the function of traditional vehicle mounted guidance is very single.Therefore, the technical barrier that a kind of hand-held car machine C-Pad intelligent guidance system that can switch navigation device function is this area how is designed.
Summary of the invention
The object of this invention is to provide a kind of hand-held car machine C-Pad intelligent guidance system, the technical matters that native system primarily solves be achieve guider to be separated with car machine base or in conjunction with time, the automatic switchover of function, namely after being separated, guider can use as individual PAD, in conjunction with time, can be used as navigation use; The technical matters of its secondary solution is the fuel consumption information corresponding according to this route of traffic route record, and this fuel consumption information is selected suitable, economic traffic route by display module display for driver.
In order to solve the problems of the technologies described above, the invention provides a kind of hand-held car machine C-Pad intelligent guidance system, comprising: guider and the car machine base for laying this guider; The power induction switch being provided with wireless transmitter module in described car machine base and being connected with this wireless transmitter module, when described guider is placed on car machine base, described power induction switch closes, described wireless transmitter module is started working and is carried out without lines matching with the wireless module in guider, to switch the function of guider; Also speech recognition system is provided with in described guider.
Further, described guider comprises processor module, and this processor module is connected with described wireless module, for after without lines matching, switches the function of guider; Described guider also comprises: GPS module, storage unit and display module, and this GPS module is connected with described processor module by a conditioning module; GPS module, for locating traffic route; Storage unit, storing electronic map; Described guider is also connected with car running computer, to obtain fuel consumption information; Described processor module is also suitable for the fuel consumption information corresponding according to this route of traffic route record, and this fuel consumption information is shown by display module.Described car machine base is provided at the mount pad on the front inner veneer of vehicle.Wireless transmitter module is connected with the ECU of vehicle, with the associated technical parameters or the record (fault etc. as in driving conditions) that make guider obtain Current vehicle.
Further, in order to solve the technical matters nursed one's health the various voltage ranges of GPS module output; Described conditioning module comprises: first, second channel unit, channel selection unit, described channel selection unit comprises: comparer, the in-phase end of this comparer is as the input end of conditioning module, end of oppisite phase accesses a reference voltage, the output terminal of this comparer is connected with the base stage of NPN triode, PNP triode respectively, the described collector of NPN triode, the emitter of PNP triode are connected with power end respectively, and the emitter of described NPN triode, the collector of PNP triode are connected with the feeder ear of first passage unit, second channel unit respectively; The in-phase end of described comparer is also connected with the input end of first, second channel unit respectively, and first passage unit comprises: for carrying out the bleeder circuit of step-down to input signal, the output terminal of bleeder circuit is connected with the input end of the first voltage follower; Second channel unit comprises: the second voltage follower, and the output terminal of first, second voltage follower described is connected as the signal output part of conditioning module.
Preferably, in order to identify the voice messaging of user in environment noisy in car, improve the recognition effect of voice, described speech recognition system comprises: acquisition module, is suitable for gathering speech data to be identified; Memory module, is suitable for storing sample speech data; The speech processing module be connected with sample data memory module with described voice acquisition module, this speech processing module is suitable for sample, speech data to be identified to carry out mixing to reconstruct the speech data being suitable for identifying.
Further, described speech processing module comprises:
Training unit, is suitable for sample, speech data to be identified to train after carrying out characteristic parameter extraction respectively; Conversion synthesis unit, then the characteristic parameter of sample and training result are changed, and synthesis obtains described speech data; Described speech processing module is suitable for the speech data after by identification and is sent to processor module.
Further, described training unit comprises:
Speech decomposition module, carries out speech decomposition respectively to sample, speech data to be identified; Parameter processing module, aligns after the result of sample, speech decomposition to be identified is carried out characteristic parameter extraction; And characteristic parameter training module, each characteristic parameter is carried out the training of mixed Gaussian stochastic process; Described conversion synthesis unit comprises: modular converter, and it is for carrying out transfer reconstruction by mixed Gaussian stochastic process by the extraction characteristic parameter of training result and sample.
Further, described speech decomposition module is suitable for speech decomposition to become voiced sound, Unvoiced signal.
Further, described parameter processing module comprises: characteristic parameter extraction submodule, is suitable for extracting the characteristic parameter by described voiced sound, Unvoiced signal, to obtain the characteristic parameter of described sample or speech data to be identified; Characteristic parameter alignment submodule, for sample and characteristic parameter to be identified, utilizes time map to realize Corresponding matching.
Further, described conversion synthesis unit also comprises: voice synthetic module, for being superposed with Unvoiced signal by the Voiced signal in the characteristic parameter reconstructed through modular converter, obtains the described speech data reconstructed.
Another aspect, in order to improve the technical matters of the speech recognition of navigational system, present invention also offers a kind of method of work of hand-held car machine C-Pad intelligent guidance system, carrying out speech recognition by speech recognition system.
Technique scheme of the present invention has the following advantages compared to existing technology: (1) native system achieve guider to be separated with car machine base or in conjunction with time, the automatic switchover of function, namely be separated after guider can use as individual PAD, in conjunction with time, can be used as navigation use; (2) fuel consumption information that the present invention can also be corresponding according to this route of traffic route record, and this fuel consumption information is selected suitable, economic traffic route by display module display for driver; (3) improve the adaptive faculty of processor module to the collection of GPS module output signal by conditioning module, effectively solve the conditioning to multiple voltage scope; (4) the present invention is by being reconstructed speech data, to improve the recognition effect of voice, effectively avoids the interference that in car, noise sails into voice.
Accompanying drawing explanation
In order to make content of the present invention be more likely to be clearly understood, below basis specific embodiment and by reference to the accompanying drawings, the present invention is further detailed explanation, wherein
Fig. 1 is the theory diagram of hand-held car machine C-Pad intelligent guidance system;
Fig. 2 is the theory diagram of guider;
Fig. 3 is the circuit diagram of conditioning module of the present invention;
Fig. 4 is the circuit diagram of first, second channel unit of the present invention;
Fig. 5 is the theory diagram of speech processing module of the present invention.
Wherein, comparer U1A, NPN triode T1, PNP triode T2, the first integrated operational amplifier U1A, the second integrated operational amplifier U1B, the 3rd integrated operational amplifier U1C.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with embodiment also with reference to accompanying drawing, the present invention is described in more detail.Should be appreciated that, these describe just exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present invention.
Nominal definition: C-Pad is Android system vehicle intelligent terminal.
As depicted in figs. 1 and 2, a kind of hand-held car machine C-Pad intelligent guidance system, comprising: guider and the car machine base for laying this guider; The power induction switch being provided with wireless transmitter module in described car machine base and being connected with this wireless transmitter module, when described guider is placed on car machine base, described power induction switch closes, described wireless transmitter module is started working and is carried out without lines matching with the wireless module in guider, to switch the function of guider; Also speech recognition system is provided with in described guider.
Concrete, described guider comprises processor module, and this processor module is connected with described wireless module, for after without lines matching, and the function of switching guider; Described guider also comprises: GPS module, storage unit and display module, and this GPS module is connected with described processor module by a conditioning module; GPS module, for locating traffic route; Storage unit, storing electronic map; Described guider is also connected with car running computer, to obtain fuel consumption information; Described processor module is also suitable for the fuel consumption information corresponding according to this route of traffic route record, and this fuel consumption information is shown by display module.
Wherein, the function switching guider is specially to switch PAD use or switch to navigation and uses.
Concrete, described car running computer is connected with guider by serial ports or USB port, is transferred to processor module by fuel consumption data.
Described processor module can adopt embedded chip.
The present invention is calculated by the oil consumption of vehicle driving route, selects suitable, economic traffic route for driver.
Described processor module is also connected with TF card card reading module with USB interface, SD card; Achieve data transmission by above-mentioned module, and map can be read by corresponding SD card and TF card.
As shown in Figure 3 and Figure 4, described conditioning module, comprising: first, second channel unit, channel selection unit.
Described channel selection unit comprises: comparer U1A, the in-phase end of this comparer U1A is as the input end of conditioning module, end of oppisite phase accesses a reference voltage, the output terminal of this comparer is connected with the base stage of NPN triode T1, PNP triode T2 respectively, the described collector of NPN triode T1, the emitter of PNP triode T2 are connected with power end respectively, and the emitter of described NPN triode T1, the collector of PNP triode T2 are connected with the feeder ear of first passage unit, second channel unit respectively; The in-phase end of described comparer U1A is also connected with the input end of first, second channel unit respectively, and first passage unit comprises: for carrying out the bleeder circuit of step-down to input signal, the output terminal of bleeder circuit is connected with the input end of the first voltage follower; Second channel unit comprises: the second voltage follower, and the output terminal of first, second voltage follower described is connected as the signal output part of conditioning module.
Wherein, described bleeder circuit is in series by resistance R2 and resistance R3, one end access input signal ui of resistance R2, the other end of resistance R2 is connected with one end of resistance R3, and as the output terminal of described bleeder circuit, and resistance R2 or resistance R3 can adopt adjustable potentiometer (multiturn potentiometer) to regulate its output voltage.
Described comparer and first, second voltage follower adopt the first integrated operational amplifier U1A, the second integrated operational amplifier U1B, the 3rd integrated operational amplifier U1C respectively.
The principle of work of conditioning module of the present invention is, compared by reference voltage and input voltage, such as reference voltage adopts 5V, namely, input voltage range is greater than 5V, then by first passage unit, voltage is reduced, adjust within 5V scope by bleeder circuit, access control system after the first voltage follower, if input voltage range is less than 5V, then directly carry out control system by the first voltage follower in second channel, therefore, the present invention all can be able to nurse one's health the input signal being greater than or less than reference voltage, improve the versatility of conditioning module.Because the process of divider resistance to signal is linear, therefore, signal transacting can not distortion.
As the present embodiment one preferred embodiment.
Described speech recognition system comprises:
Acquisition module, is suitable for gathering speech data to be identified; Memory module, is suitable for storing sample speech data; The speech processing module be connected with sample data memory module with described voice acquisition module, this speech processing module is suitable for sample, speech data to be identified to carry out mixing to reconstruct the speech data that is suitable for identifying.Speech processing module is connected with described processor module, and described speech processing module is suitable for the speech data after by identification and is sent to processor module, to perform command adapted thereto.
The principle of work of this speech recognition system is that combined training is carried out in the pronunciation of relative words in the non-standard mandarin of phonetic entry and sample data, to reconstruct a kind of speech data being suitable for identifying, and effectively to avoid in car noise to the interference of speech recognition.
Further, as shown in Figure 5, described speech processing module comprises:
Training unit, is suitable for sample, speech data to be identified to train after carrying out characteristic parameter extraction respectively; Conversion synthesis unit, then the characteristic parameter of sample and training result are changed, and synthesis obtains described speech data.
Described training unit comprises:
Speech decomposition module, carries out speech decomposition respectively to sample, speech data to be identified; Parameter processing module, aligns after the result of sample, speech decomposition to be identified is carried out characteristic parameter extraction; And characteristic parameter training module, each characteristic parameter is carried out the training of mixed Gaussian stochastic process.
Wherein, described speech decomposition module is suitable for speech decomposition to become voiced sound, Unvoiced signal.
Concrete, voice signal is fixed to the framing of duration.In frame voice, solve the autocorrelation function of these voice, utilize the first side lobe peak of autocorrelation function to carry out approximate evaluation pitch period, the inverse of pitch period is fundamental frequency.
According to the fundamental frequency value obtained (voiceless sound is 0, and voiced sound is non-zero), determine that these frame voice are voiceless sound or voiced sound.If voiced sound, then for it arranges a maximum voiced sound frequency component, be used for dividing the main energy area of harmonic components and random element.Frequency range below maximum voiced sound frequency, modeling is carried out to signal---utilize the superposition of several sine waves to carry out fitted signal.Least-squares algorithm is utilized to come discrete amplitude values and the phase value of constraint solving sine wave.
Described parameter processing module comprises: characteristic parameter extraction submodule, is suitable for extracting the characteristic parameter by described voiced sound, Unvoiced signal, to obtain the characteristic parameter of described sample or speech data to be identified; Characteristic parameter alignment submodule, for sample and characteristic parameter to be identified, utilize time map to realize Corresponding matching, namely utilize dynamic time warping algorithm by the nonlinear time shaft being mapped to another feature parameter of time shaft of a wherein characteristic parameter, realize mating one to one.
Be suitable in characteristic parameter extraction submodule extracting and comprised by the method for the characteristic parameter of described voiced sound, Unvoiced signal:
The method extracting described voiced sound characteristic parameter comprises: to ask for square the amplitude of described discrete sine ripple, and this numerical value is thought discrete power spectral function by approximate.
According to the one-to-one relationship of power spectral density function and autocorrelation function, to discrete power spectrum numerical value inverse transformation, approximate autocorrelation function can be obtained, according to Linear prediction analysis method, utilize autocorrelation function to solve and obtain linear predictor coefficient; The dual function that linear predictor coefficient is formed, its root on Z frequency domain, be linear spectral coefficient of frequency, this coefficient is voiced sound characteristic parameter; The method extracting described voiceless sound characteristic parameter comprises: if frame signal is at voiceless sound, classical linear prediction analysis method is then utilized to analyze it, set up an all-pole modeling, and utilize least square method constraint solving model coefficient, thus obtain linear predictor coefficient, be voiceless sound characteristic parameter.
The method that each characteristic parameter is carried out the training of mixed Gaussian stochastic process by described characteristic parameter training module comprises:
Build the Gaussian random process model comprising mixed structure, then, under the prerequisite of given input and output vector set (this set is the characteristic parameter of the sample extracted), output vector sequence is approximately equal to the weighted array of multiple Gaussian random process.Wherein, the input of Gaussian random process is given input vector sequence.The average of all weight coefficients and each Gaussian random process and variance parameter, be unknown parameter to be estimated, the associating posterior probability density function of approximate evaluation weight coefficient and model parameter (average of Gaussian process and variance) is carried out by Markov chain Monte-Carlo method, namely first suppose to meet separate characteristic between weight coefficient and model parameter, then both probability density functions are progressively estimated by the mode of iteration, in each iterative process, first fix a kind of known variables, then another kind of known variables is sampled, its probability distribution approximate is carried out by a large amount of sampled data, finally weight coefficient is multiplied with the probability distribution function of model parameter, associating posterior probability function can be obtained, carry out marginalisation to joint probability density function, obtain the estimation to the probability distribution of weight coefficient and the probability distribution of model parameter respectively, so far, mixed Gaussian random process model structure is determined.
Described conversion synthesis unit comprises:
Modular converter, it is for carrying out transfer reconstruction by mixed Gaussian stochastic process by the extraction characteristic parameter of training result and sample; Concrete grammar comprises: under the condition of given input observation vector set, according to the structural parameters of the mixed Gaussian stochastic process trained, asks for the membership function value of current speech frame, so-called membership function, refers to the ratio of normalization posteriority weight coefficient; According to being subordinate to angle value, differentiating which Gauss's subconstiuent is current speech belong to, subsequently in the subspace of each sub-clustering, according to the definition of Gaussian random process, producing the output corresponded; Stacked up by the Output rusults of all compositions, weight coefficient is exactly the value of membership function, finally obtains the speech characteristic parameter after mapping.Wherein, this speech characteristic parameter is in order to sample, the voiced sound of speech data to be identified, the characteristic parameter of voiceless sound; Described conversion synthesis unit also comprises: voice synthetic module, for being superposed with Unvoiced signal by the Voiced signal in the characteristic parameter reconstructed through modular converter, obtains the described speech data reconstructed; Concrete, described voice synthetic module is suitable for the discrete harmonic amplitude of Voiced signal and phase value and is used as after the range value of sinusoidal signal and phase value superpose, to be superposed by Unvoiced signal, obtain described speech data with by an all-pole filter.
Speech recognition system in the present invention effectively can improve speech recognition capabilities, to ignore in car noise to the impact of speech recognition.
Embodiment 2
On embodiment 1 basis, in order to improve the technical matters of the speech recognition of navigational system, present invention also offers a kind of method of work of hand-held car machine C-Pad intelligent guidance system, carrying out speech recognition by speech recognition system.About the method for speech recognition specifically see the content of embodiment 1.
Should be understood that, above-mentioned embodiment of the present invention only for exemplary illustration or explain principle of the present invention, and is not construed as limiting the invention.Therefore, any amendment made when without departing from the spirit and scope of the present invention, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.In addition, claims of the present invention be intended to contain fall into claims scope and border or this scope and border equivalents in whole change and modification.
Claims (10)
1. a hand-held car machine C-Pad intelligent guidance system, is characterized in that, comprising: guider and the car machine base for laying this guider;
The power induction switch being provided with wireless transmitter module in described car machine base and being connected with this wireless transmitter module, when described guider is placed on car machine base, described power induction switch closes, described wireless transmitter module is started working and is carried out without lines matching with the wireless module in guider, to switch the function of guider;
Also speech recognition system is provided with in described guider.
2. C-Pad intelligent guidance system according to claim 1, described guider comprises processor module, and this processor module is connected with described wireless module, for after without lines matching, switches the function of guider;
Described guider also comprises: GPS module, storage unit and display module, and this GPS module is connected with described processor module by a conditioning module;
GPS module, for locating traffic route;
Storage unit, storing electronic map;
Described guider is also connected with car running computer, to obtain fuel consumption information;
Described processor module is also suitable for the fuel consumption information corresponding according to this route of traffic route record, and this fuel consumption information is shown by display module.
3. hand-held car machine C-Pad intelligent guidance system according to claim 2, is characterized in that,
Described conditioning module comprises: first, second channel unit, channel selection unit;
Described channel selection unit comprises: comparer, the in-phase end of this comparer is as the input end of conditioning module, end of oppisite phase accesses a reference voltage, the output terminal of this comparer is connected with the base stage of NPN triode, PNP triode respectively, the described collector of NPN triode, the emitter of PNP triode are connected with power end respectively, and the emitter of described NPN triode, the collector of PNP triode are connected with the feeder ear of first passage unit, second channel unit respectively;
The in-phase end of described comparer is also connected with the input end of first, second channel unit respectively,
First passage unit comprises: for carrying out the bleeder circuit of step-down to input signal, the output terminal of bleeder circuit is connected with the input end of the first voltage follower;
Second channel unit comprises: the second voltage follower,
The output terminal of first, second voltage follower described is connected as the signal output part of conditioning module.
4. hand-held car machine C-Pad intelligent guidance system according to claim 1, is characterized in that,
Described speech recognition system comprises:
Acquisition module, is suitable for gathering speech data to be identified;
Memory module, is suitable for storing sample speech data;
The speech processing module be connected with sample data memory module with described voice acquisition module, this speech processing module is suitable for sample, speech data to be identified to carry out mixing to reconstruct the speech data being suitable for identifying;
Described speech processing module is suitable for the speech data after by identification and is sent to processor module.
5. hand-held car machine C-Pad intelligent guidance system according to claim 4, it is characterized in that, described speech processing module comprises:
Training unit, is suitable for sample, speech data to be identified to train after carrying out characteristic parameter extraction respectively;
Conversion synthesis unit, then the characteristic parameter of sample and training result are changed, and synthesis obtains described speech data.
6. hand-held car machine C-Pad intelligent guidance system according to claim 5, it is characterized in that, described training unit comprises:
Speech decomposition module, carries out speech decomposition respectively to sample, speech data to be identified;
Parameter processing module, aligns after the result of sample, speech decomposition to be identified is carried out characteristic parameter extraction; And
Characteristic parameter training module, carries out the training of mixed Gaussian stochastic process by each characteristic parameter;
Described conversion synthesis unit comprises:
Modular converter, it is for carrying out transfer reconstruction by mixed Gaussian stochastic process by the extraction characteristic parameter of training result and sample.
7. hand-held car machine C-Pad intelligent guidance system according to claim 6, it is characterized in that, described speech decomposition module is suitable for speech decomposition to become voiced sound, Unvoiced signal.
8. hand-held car machine C-Pad intelligent guidance system according to claim 7, it is characterized in that, described parameter processing module comprises:
Characteristic parameter extraction submodule, is suitable for extracting the characteristic parameter by described voiced sound, Unvoiced signal, to obtain the characteristic parameter of described sample or speech data to be identified;
Characteristic parameter alignment submodule, for sample and characteristic parameter to be identified, utilizes time map to realize Corresponding matching.
9. hand-held car machine C-Pad intelligent guidance system according to claim 8, it is characterized in that, described conversion synthesis unit also comprises:
Voice synthetic module, for being superposed with Unvoiced signal by the Voiced signal in the characteristic parameter reconstructed through modular converter, obtains the described speech data reconstructed.
10. a method of work for hand-held car machine C-Pad intelligent guidance system, is characterized in that, carry out speech recognition by speech recognition system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410833578.5A CN104990553A (en) | 2014-12-23 | 2014-12-23 | Hand-held vehicle terminal C-Pad intelligent navigation system and working method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410833578.5A CN104990553A (en) | 2014-12-23 | 2014-12-23 | Hand-held vehicle terminal C-Pad intelligent navigation system and working method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104990553A true CN104990553A (en) | 2015-10-21 |
Family
ID=54302395
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410833578.5A Pending CN104990553A (en) | 2014-12-23 | 2014-12-23 | Hand-held vehicle terminal C-Pad intelligent navigation system and working method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104990553A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1264887A (en) * | 2000-03-31 | 2000-08-30 | 清华大学 | Non-particular human speech recognition and prompt method based on special speech recognition chip |
| US20070239451A1 (en) * | 2006-04-06 | 2007-10-11 | Kabushiki Kaisha Toshiba | Method and apparatus for enrollment and verification of speaker authentication |
| CN201096881Y (en) * | 2007-10-16 | 2008-08-06 | 硕颖数码科技（中国）有限公司 | Separated GPS navigation instrument |
| CN101526362A (en) * | 2008-03-07 | 2009-09-09 | 鸿富锦精密工业（深圳）有限公司 | Navigation system and navigation method and device thereof |
| KR20100130483A (en) * | 2009-06-03 | 2010-12-13 | 엘지전자 주식회사 | Mobile vehicle navigation method and apparatus thereof |
| CN103050121A (en) * | 2012-12-31 | 2013-04-17 | 北京迅光达通信技术有限公司 | Linear prediction speech coding method and speech synthesis method |
| CN103197330A (en) * | 2013-02-21 | 2013-07-10 | 深圳市掌讯通讯设备有限公司 | Separation-type vehicle-mounted guiding system |
| CN203249629U (en) * | 2013-04-03 | 2013-10-23 | 北京中欧美经济技术发展中心 | Navigation device provided with voice recognition and man-machine interaction functions |
| CN203851133U (en) * | 2014-05-08 | 2014-09-24 | 常州信息职业技术学院 | Data acquisition and conditioning module |
| CN104091592A (en) * | 2014-07-02 | 2014-10-08 | 常州工学院 | Voice conversion system based on hidden Gaussian random field |
| CN204514332U (en) * | 2014-12-23 | 2015-07-29 | 上海安悦四维信息技术有限公司 | A kind of hand-held car machine C-Pad intelligent guidance system |
-
2014
- 2014-12-23 CN CN201410833578.5A patent/CN104990553A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1264887A (en) * | 2000-03-31 | 2000-08-30 | 清华大学 | Non-particular human speech recognition and prompt method based on special speech recognition chip |
| US20070239451A1 (en) * | 2006-04-06 | 2007-10-11 | Kabushiki Kaisha Toshiba | Method and apparatus for enrollment and verification of speaker authentication |
| CN201096881Y (en) * | 2007-10-16 | 2008-08-06 | 硕颖数码科技（中国）有限公司 | Separated GPS navigation instrument |
| CN101526362A (en) * | 2008-03-07 | 2009-09-09 | 鸿富锦精密工业（深圳）有限公司 | Navigation system and navigation method and device thereof |
| KR20100130483A (en) * | 2009-06-03 | 2010-12-13 | 엘지전자 주식회사 | Mobile vehicle navigation method and apparatus thereof |
| CN103050121A (en) * | 2012-12-31 | 2013-04-17 | 北京迅光达通信技术有限公司 | Linear prediction speech coding method and speech synthesis method |
| CN103197330A (en) * | 2013-02-21 | 2013-07-10 | 深圳市掌讯通讯设备有限公司 | Separation-type vehicle-mounted guiding system |
| CN203249629U (en) * | 2013-04-03 | 2013-10-23 | 北京中欧美经济技术发展中心 | Navigation device provided with voice recognition and man-machine interaction functions |
| CN203851133U (en) * | 2014-05-08 | 2014-09-24 | 常州信息职业技术学院 | Data acquisition and conditioning module |
| CN104091592A (en) * | 2014-07-02 | 2014-10-08 | 常州工学院 | Voice conversion system based on hidden Gaussian random field |
| CN204514332U (en) * | 2014-12-23 | 2015-07-29 | 上海安悦四维信息技术有限公司 | A kind of hand-held car machine C-Pad intelligent guidance system |
Non-Patent Citations (2)
| Title |
|---|
| 赵力: "《语音信号处理》", 30 June 2009, 机械工业出版社 * |
| 韩纪庆等: "《音频信息处理技术》", 31 January 2007, 清华大学出版社 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102934159B (en) | Speech audio process | |
| CN102353985B (en) | Pseudo-acoustic curve construction method based on nonsubsampled Contourlet transformation | |
| WO2009025928A3 (en) | Systems and methods for solar mapping, determining a usable area for solar energy production and/or providing solar information | |
| CN102945670B (en) | Multi-environment characteristic compensation method for voice recognition system | |
| CN105095186A (en) | Semantic analysis method and device | |
| CN103065622B (en) | A kind of training method of the languages model for languages identification and system | |
| EP1791090A3 (en) | Method for quantifying plant resources using GIS | |
| EP1672537A3 (en) | Data semanticizer | |
| CN112163461B (en) | Underwater target identification method based on multi-mode fusion | |
| WO2012064408A3 (en) | Method for tone/intonation recognition using auditory attention cues | |
| CN103323532B (en) | Fish identification method and system based on psychoacoustics parameters | |
| CN105225665A (en) | A kind of audio recognition method and speech recognition equipment | |
| EP2393076A3 (en) | Navigable topological maps | |
| CN105320937A (en) | Kinect based traffic police gesture recognition method | |
| CN103989462A (en) | Method for extracting first characteristic point and second characteristic point of pulse waveform | |
| CN105206257A (en) | Voice conversion method and device | |
| CN104123930A (en) | Guttural identification method and device | |
| CN102820034B (en) | Noise sensing and identifying device and method for civil aircraft | |
| CN106898353A (en) | A kind of Intelligent household voice control system and its audio recognition method | |
| CN103163567B (en) | Based on air gun wavelet bubble ratio analytical approach and the device of energy | |
| CN109871829A (en) | A kind of detection model training method and device based on deep learning | |
| CN102760235A (en) | Multiview-based underwater target classification system and method | |
| CN204514332U (en) | A kind of hand-held car machine C-Pad intelligent guidance system | |
| CN106339371A (en) | English and Chinese word meaning mapping method and device based on word vectors | |
| CN103905993B (en) | Region misjudgment solution method based on indoor positioning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151021 |
|
| RJ01 | Rejection of invention patent application after publication |