CN109065057B - Unmanned aerial vehicle voiceprint news tracking method and system - Google Patents
Unmanned aerial vehicle voiceprint news tracking method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for tracing voiceprint news of an unmanned aerial vehicle, wherein the method comprises the following steps: the unmanned aerial vehicle cruises in a designated area to collect sound and acquire first sound source information; the unmanned aerial vehicle carries out voiceprint recognition on the first sound source information to obtain density elements in the first sound source information; the unmanned aerial vehicle carries out voice recognition on the recognized voiceprint information to obtain news elements in the voiceprint information; the unmanned aerial vehicle carries out targeted collection on voiceprints containing news elements and obtains second sound source information; and the unmanned aerial vehicle continuously acquires the second sound source information and sends the second sound source information to the news center. According to the invention, the sound source collecting device is arranged in the unmanned aerial vehicle to collect the first sound source information, the second sound source information is collected aiming at the voiceprint information containing news elements, and the second sound source information is transmitted back to the news center, so that the convenience of news collection and the timeliness and accuracy of news reporting are greatly improved.
Description
Technical Field
The invention relates to the field of unmanned aerial vehicle tracking, in particular to a method and a system for tracking voiceprint news hotspots of an unmanned aerial vehicle.
Background
With the rapid development of unmanned aerial vehicle technology, unmanned aerial vehicles are beginning to be put into more and more fields. Unmanned aerial vehicles, which are originally used in military applications as a very convenient and low-risk unmanned vehicle, are commonly used for unmanned aerial vehicle detection, surveillance and terrorism fighting, for example, "predators" in the united states, and "pterosaurs" in china, which are all military unmanned aerial vehicles. After unmanned aerial vehicle got into civilian field, had catered to the climax of unmanned aerial vehicle development, the development of the unmanned aerial vehicle type has also been driven in the world of reputation especially to the unmanned aerial vehicle of the major of technology Limited company of Shenzhen in China, has had agricultural watering unmanned aerial vehicle, forest fire control unmanned aerial vehicle, take photo by plane unmanned aerial vehicle etc. express delivery and takeaway trade are all developing corresponding unmanned aerial vehicle.
Today in the information era, a mobile terminal becomes a habit of people to read news, and a traditional news media mode begins to fall, so that higher requirements are provided for the news industry, and not only hot news needs to be reported in time, but also the news needs to be accurately reported.
The general news collecting modes in the urban area include a plurality of modes of obtaining news, such as a reporter street stepping point, a citizen actively contacting the reporter, a public security department contacting and the like, but due to the fact that the number of workers engaged in news collection is limited, the collected news has delay and accurate information cannot be obtained in time, and the phenomenon of delayed report, even real-time news failure and the like can occur. The traditional postharvest is inevitably delayed in news and exaggerated in pedestrian subjective narration, and the prior art has the phenomena of insufficient and inaccurate information collection and the like.
Disclosure of Invention
The invention aims to provide an unmanned aerial vehicle voiceprint news tracking method, an unmanned aerial vehicle voiceprint news tracking system, an unmanned aerial vehicle and a storage medium, aiming at the defects in the prior art.
The invention adopts the technical scheme that a method for tracing voiceprint news of an unmanned aerial vehicle is provided, and the method comprises the following steps:
the unmanned aerial vehicle cruises in a designated area to collect sound and acquire first sound source information;
the unmanned aerial vehicle carries out voiceprint recognition on the first sound source information, density elements in the first sound source information are obtained, and when the density elements exceed a threshold value, the first sound source information is stored;
the unmanned aerial vehicle carries out voice recognition on the recognized voiceprint information to obtain news elements in the voiceprint information;
the unmanned aerial vehicle carries out targeted collection on voiceprints containing news elements and obtains second sound source information;
and the unmanned aerial vehicle continuously acquires the second sound source information and sends the second sound source information to the news center.
Preferably, unmanned aerial vehicle collection sound that cruises in appointed region, acquires first sound source information includes:
presetting a time interval for acquiring first sound source information;
setting a certain sound receiving range;
and denoising the acquired first sound source information.
The preset time interval for acquiring the first sound source information comprises a preset time interval between the previous acquisition of the sound source information and the next acquisition of the sound source information, and also comprises a preset time length for acquiring the first sound source information. The occupancy rate of the memory can be effectively controlled through the preset time interval, and the acquisition efficiency of the unmanned aerial vehicle is improved; the sound receiving range and the denoising are set, so that the sound source can be ensured to come from a news occurrence point, the interference of a non-news sound source is reduced, and the accuracy of news information is ensured.
Preferably, the voiceprint identification of the first sound source information is voiceprint number identification, and the density element is human number density;
the unmanned aerial vehicle is right first sound source information carries out voiceprint recognition, and the density element who obtains in the first sound source information includes:
presetting a population density threshold;
identifying the number of the voiceprints in the first sound source information through the voiceprints to obtain the information of the number of people;
and calculating the number density of people in the first sound source information according to the identified number information.
The method comprises the steps that the voiceprint number contained in sound source information is identified by utilizing the characteristic that voiceprints of each person are different, the number of people in an acquired area can be determined in a fuzzy mode through the voiceprint number, the number of people is obtained through a number density formula (number density) = (number of people) ÷ (area of the area), the calculated number of people is compared with the preset number of people, whether a preset number of people density threshold value is met or not is judged, and when the calculated number of people reaches the preset number of people density threshold value, the next link is entered; when the calculated number density does not reach the preset number density threshold value, the sound source information is stored to be used as information background, and the news center is used for subsequent analysis, but does not enter the next link of unmanned aerial vehicle information collection.
Preferably, the unmanned aerial vehicle performs voice recognition on the recognized voiceprint information, and acquiring news elements in the voiceprint information includes:
presetting news elements of required news content;
performing voice recognition on all recognized voiceprint information through a voice recognition platform to obtain voice contents, and matching the voice contents with the preset news elements one by one;
the voiceprint containing the news elements will be further processed; voiceprints without news elements will be filtered out.
Preferably, the unmanned aerial vehicle performs targeted acquisition on a voiceprint containing a news element, and acquiring second sound source information includes:
reversely acquiring voiceprint first sound source information containing news elements;
and collecting the first voiceprint sound source information containing the news elements in a targeted manner to obtain second sound source information.
The news elements are set by a news center, can be a plurality of words or a sentence, the voice recognition platform can be provided with one or more, or the network voice recognition platform can be called through data communication equipment of an unmanned aerial vehicle, one voice recognition platform can quickly finish recognition, and a plurality of voice recognition platforms can enable voice recognition to be more accurate; and matching the content identified by the voice identification platform with a preset news element, screening out effective voiceprints containing the news element, eliminating the ineffective voiceprints, and further collecting the effective voiceprints to obtain news information.
There is provided a system for voiceprint news tracking of a drone, the system for a drone, the system comprising:
the data communication module is used for connecting with the Internet and calling the network voice recognition platform;
the first sound source acquisition module is used for acquiring sound sources in a specified area and acquiring first sound source information;
the voiceprint recognition module is used for carrying out voiceprint recognition on the first sound source information, acquiring density elements in the first sound source information, and storing the first sound source information when the density elements exceed a threshold value;
the voice recognition module is used for recognizing all voiceprints by using the voice recognition platform and performing news element matching;
and the sending module is used for carrying out targeted collection on the voiceprint containing the news elements, acquiring second sound source information and sending the second sound source information to the news center.
Preferably, the voiceprint recognition module includes: the number of people identification submodule and the density calculation submodule;
the number identification submodule is used for identifying the number of the voiceprints of the first sound source information to obtain the number information;
and the density calculating submodule is used for calculating the number density in the first sound source information according to the identified number information and the received range.
Preferably, the speech recognition module includes: a voice matching sub-module and a reverse acquisition sub-module;
the voice matching submodule is used for matching preset news elements and acquiring voiceprints containing the news elements;
the reverse acquisition submodule is used for reversely acquiring a voiceprint sound source containing news elements, and the subsequent acquisition sound source is used for intensively acquiring the sound source containing the news elements.
There is also provided a drone comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, the at least one program, set of codes, or set of instructions, loaded and executed by the processor to implement a method of voiceprint news hot tracking for a drone as in any one of the above.
There is also provided a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement the method of drone voiceprint news tracking as in any one of the above.
Compared with the prior art, the invention has at least the following beneficial effects: according to the method, the sound source collecting device is arranged in the unmanned aerial vehicle to collect the first sound source information, the voiceprint recognition is carried out on the first sound source information, the number density is calculated, the calculated number density is compared with the preset density threshold, the voiceprint information meeting the threshold is subjected to voice recognition, the content of the voice recognition is matched with the preset news element, the second sound source information is collected according to the voiceprint information containing the news element, and the second sound source information is transmitted back to the news center, so that the convenience of news collection is greatly improved, and the timeliness and the accuracy of news reporting are improved.
Drawings
Fig. 1 is a flowchart of a voiceprint news tracking method for an unmanned aerial vehicle according to an embodiment of the present invention;
FIG. 2 is a block diagram of a system module for tracking voiceprint news of an unmanned aerial vehicle according to an embodiment of the present invention;
FIG. 3 is a block diagram of sub-modules of the voiceprint recognition module of FIG. 2;
FIG. 4 is a block diagram of sub-modules of the speech recognition module of FIG. 2.
Detailed Description
The following describes preferred embodiments of the present invention and those skilled in the art will be able to realize the invention by using the related art in the following and will more clearly understand the innovative features and the advantages brought by the present invention.
As shown in fig. 1, the present invention provides a method for news hotspot tracking of an unmanned aerial vehicle, where the unmanned aerial vehicle may be a multi-rotor unmanned aerial vehicle, a fixed-wing unmanned aerial vehicle, an unmanned helicopter, etc., and the present invention does not specifically limit the product type of the unmanned aerial vehicle. In the embodiment of the invention, the unmanned aerial vehicle is a quad-rotor unmanned aerial vehicle, and the unmanned aerial vehicle is provided with a sound collection device which can directionally collect sound sources.
The method comprises the following steps:
s11, acquiring first sound source information; specifically, unmanned aerial vehicle cruises in the target area, through setting up first sound source information is gathered to unmanned last sound collection system.
Further, the time interval for acquiring the first sound source information is preset before the first sound source information is acquired, the preset time interval for acquiring the first sound source information includes the time interval between the previous acquisition of the sound source information and the next acquisition of the sound source information, and the time length for acquiring the first sound source information is also preset. Unmanned aerial vehicle is when cruising collection sound, sound collection system is can the pivoted, and sound collection system sets up to the sound information that can only receive the certain limit, reduces the interference to incident point sound source.
And further, denoising the acquired first sound source information to remove environmental noises such as unmanned aerial vehicle flight and wind.
S12, voiceprint recognition; the unmanned aerial vehicle is right the first sound source information carries out voiceprint recognition, and the number of voiceprints in the first sound source information is recognized to obtain the fuzzy number of people.
S13, calculating the number of people; the density element in the first sound source information can be calculated and obtained by using a people number density formula through the number of the voiceprints.
Furthermore, a people number density threshold value is preset and is used as a first filter screen for valuable news screening.
S14, judging whether the number of people meets a density threshold value, and when the density element exceeds the threshold value, storing the first sound source information and entering the next link; and when the density element does not reach the preset density threshold value, the first sound source is collected again.
S15, voice recognition; the voiceprint is identified through the voice recognition platform arranged on the unmanned aerial vehicle, and the identification result is characters.
Furthermore, a news element is preset, wherein the news element is of a character type and can be a word or a sentence.
Of course, in some other embodiments, the drone may be connected to the internet through a data communication device provided on the drone in addition to the onboard voice recognition platform, so as to invoke the network voice recognition platform; the preset news element can be a robot simulation voiceprint, and at the moment, the recognition result of the voice recognition platform is also the robot simulation voiceprint.
S16, judging whether a news element exists or not, obtaining effective news information, marking the voiceprint containing the news element when the voiceprint contains the news element, and focusing on collecting the voiceprint containing the news element; when the voiceprint does not contain a news element, the first sound source is recollected.
S17, acquiring second sound source information; the collected voiceprint is stored and marked as second sound source information aiming at the voiceprint containing the news elements.
And S18, transmitting the collected second sound source information to a news center through a transmitting device.
As shown in fig. 2 to 4, the present invention provides a system for hot spot tracking of unmanned aerial vehicles, where the unmanned aerial vehicles may be multi-rotor unmanned aerial vehicles, fixed-wing unmanned aerial vehicles, unmanned helicopters, etc., and the present invention does not specifically limit the product types of the unmanned aerial vehicles. In the embodiment of the invention, the unmanned aerial vehicle is a quad-rotor unmanned aerial vehicle, and the unmanned aerial vehicle is provided with a sound collection device which can directionally collect sound sources.
The system comprises:
the data communication module is used for connecting with the Internet and calling the network voice recognition platform;
the first sound source acquisition module 1 is used for acquiring first sound source information; first sound source collection module 1 is provided with sound collection system microphone promptly, sound collection system is rotatable for the directional sound information of gathering.
And the voiceprint recognition module 2 is used for recognizing the first sound source information to obtain all voiceprint information.
In the embodiment of the present invention, the people number recognition sub-module 21 is configured to count the number of voiceprints to obtain the people number information, the density calculation sub-module 22 calculates the density factor, i.e., the people number density, according to a formula (people number density) ÷ (area), compares the calculated people number density with a preset people number density threshold, and if the calculated people number density exceeds the people number density threshold, the next link is performed, and the first sound source information is obtained again when the people number density threshold is reached.
And the voice recognition module 3 is used for recognizing the voiceprint, and the recognition result is character information in the embodiment of the invention.
In the embodiment of the present invention, the voice matching sub-module 31 matches the recognized text result with a preset news element to obtain an effective voiceprint, when the voiceprint contains the news element, the voiceprint containing the news element is marked, the voiceprint containing the news element is collected in a targeted manner by the reverse collection module 32 to obtain effective news information, and a subsequent sound source collected in a targeted manner is marked as second sound source information; when the voiceprint does not contain news elements, the voiceprint is removed and not stored;
and the sending module 4 is used for sending the second sound source information to a news center to make a timely news report.
There is also provided a drone comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement a method of drone news hotspot tracking as previously described.
There is also provided a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement a method of drone news hotspot tracking as described above.
The foregoing is a more detailed description of the present invention in connection with specific preferred embodiments thereof, and it is not intended that the specific embodiments of the present invention be limited to these descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (3)
1. A method for unmanned aerial vehicle voiceprint news tracking, the method comprising:
the unmanned aerial vehicle cruises in a designated area to collect sound and acquire first sound source information;
the unmanned aerial vehicle carries out voiceprint recognition on the first sound source information, density elements in the first sound source information are obtained, and when the density elements exceed a threshold value, the first sound source information is stored;
the unmanned aerial vehicle carries out voice recognition on the recognized voiceprint information to obtain news elements in the voiceprint information;
the unmanned aerial vehicle carries out targeted collection on voiceprints containing news elements and obtains second sound source information;
and the unmanned aerial vehicle continuously acquires the second sound source information and sends the second sound source information to the news center.
2. The method of claim 1, wherein the drone cruises to collect sounds in a designated area, and the obtaining the first sound source information comprises:
presetting a time interval for acquiring first sound source information;
setting a certain sound receiving range;
and denoising the acquired first sound source information.
3. The method of claim 1, wherein the unmanned aerial vehicle performs voice recognition on the recognized voiceprint information, and the obtaining of the news element in the voiceprint information comprises:
presetting news elements of required news content;
performing voice recognition on all recognized voiceprint information through a voice recognition platform to obtain voice contents, and matching the voice contents with the preset news elements one by one;
the voiceprint containing the news elements will be further processed; voiceprints without news elements will be filtered out.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810997978.8A CN109065057B (en) | 2018-08-29 | 2018-08-29 | Unmanned aerial vehicle voiceprint news tracking method and system |
| CN202011032367.3A CN113112989A (en) | 2018-08-29 | 2018-08-29 | Unmanned aerial vehicle voiceprint news tracking system |
| CN202011031527.2A CN113113029A (en) | 2018-08-29 | 2018-08-29 | Unmanned aerial vehicle voiceprint news tracking method |
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| CN202011032367.3A Division CN113112989A (en) | 2018-08-29 | 2018-08-29 | Unmanned aerial vehicle voiceprint news tracking system |
| CN202011031527.2A Division CN113113029A (en) | 2018-08-29 | 2018-08-29 | Unmanned aerial vehicle voiceprint news tracking method |
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103632672A (en) * | 2012-08-28 | 2014-03-12 | 腾讯科技（深圳）有限公司 | Voice-changing system, voice-changing method, man-machine interaction system and man-machine interaction method |
| CN104375417A (en) * | 2014-11-05 | 2015-02-25 | 济南大学 | Intelligent service robot in waiting hall |
| CN104428766A (en) * | 2012-07-03 | 2015-03-18 | 三菱电机株式会社 | Voice recognition device |
| CN106054918A (en) * | 2016-05-30 | 2016-10-26 | 北京小米移动软件有限公司 | Method and device for providing information of unmanned aerial vehicle |
| CN106100777A (en) * | 2016-05-27 | 2016-11-09 | 西华大学 | Broadcast support method based on speech recognition technology |
| CN106104522A (en) * | 2014-03-18 | 2016-11-09 | 微软技术许可有限责任公司 | The entity platform of name and storage |
| CN106971713A (en) * | 2017-01-18 | 2017-07-21 | 清华大学 | Speaker's labeling method and system based on density peaks cluster and variation Bayes |
| CN206460480U (en) * | 2017-01-13 | 2017-09-01 | 刘曼 | A kind of crowd density detection means based on Computer Vision |
| WO2017220130A1 (en) * | 2016-06-21 | 2017-12-28 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods of route directing unmanned aerial vehicles |
| CN107770564A (en) * | 2016-08-18 | 2018-03-06 | 腾讯科技（深圳）有限公司 | The method and device of remote collection audio, video data |
| CN107813931A (en) * | 2017-12-04 | 2018-03-20 | 陈军瑞 | A kind of patrol device with unmanned plane |
| CA3052462A1 (en) * | 2017-02-03 | 2018-08-09 | Indemnis, Inc. | Inflatable deployment apparatus for descent-restraint system for aerial vehicles |
-
2018
- 2018-08-29 CN CN202011031527.2A patent/CN113113029A/en not_active Withdrawn
- 2018-08-29 CN CN201810997978.8A patent/CN109065057B/en active Active
- 2018-08-29 CN CN202011032367.3A patent/CN113112989A/en not_active Withdrawn
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104428766A (en) * | 2012-07-03 | 2015-03-18 | 三菱电机株式会社 | Voice recognition device |
| CN103632672A (en) * | 2012-08-28 | 2014-03-12 | 腾讯科技（深圳）有限公司 | Voice-changing system, voice-changing method, man-machine interaction system and man-machine interaction method |
| CN106104522A (en) * | 2014-03-18 | 2016-11-09 | 微软技术许可有限责任公司 | The entity platform of name and storage |
| CN104375417A (en) * | 2014-11-05 | 2015-02-25 | 济南大学 | Intelligent service robot in waiting hall |
| CN106100777A (en) * | 2016-05-27 | 2016-11-09 | 西华大学 | Broadcast support method based on speech recognition technology |
| CN106054918A (en) * | 2016-05-30 | 2016-10-26 | 北京小米移动软件有限公司 | Method and device for providing information of unmanned aerial vehicle |
| WO2017220130A1 (en) * | 2016-06-21 | 2017-12-28 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods of route directing unmanned aerial vehicles |
| CN107770564A (en) * | 2016-08-18 | 2018-03-06 | 腾讯科技（深圳）有限公司 | The method and device of remote collection audio, video data |
| CN206460480U (en) * | 2017-01-13 | 2017-09-01 | 刘曼 | A kind of crowd density detection means based on Computer Vision |
| CN106971713A (en) * | 2017-01-18 | 2017-07-21 | 清华大学 | Speaker's labeling method and system based on density peaks cluster and variation Bayes |
| CA3052462A1 (en) * | 2017-02-03 | 2018-08-09 | Indemnis, Inc. | Inflatable deployment apparatus for descent-restraint system for aerial vehicles |
| CN107813931A (en) * | 2017-12-04 | 2018-03-20 | 陈军瑞 | A kind of patrol device with unmanned plane |
Non-Patent Citations (3)
| Title |
|---|
| Automatic Hotspot and Sun Glint Detection in UAV Multispectral Images;Damian Ortega-Terol等;《Sensors》;20171015;全文 * |
| 一种基于麦克风阵列的无人机监测装置的设计;于晟阳;《中国高新区》;20180410;全文 * |
| 媒体无人机，新闻采集的未来标配;陈怡;《军事记者》;20141130(第11期);全文 * |
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| CN109065057A (en) | 2018-12-21 |
| CN113112989A (en) | 2021-07-13 |
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