CN107018372A - Voice recognition monitoring record method and device - Google Patents
Voice recognition monitoring record method and device Download PDFInfo
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- CN107018372A CN107018372A CN201710262425.3A CN201710262425A CN107018372A CN 107018372 A CN107018372 A CN 107018372A CN 201710262425 A CN201710262425 A CN 201710262425A CN 107018372 A CN107018372 A CN 107018372A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000001960 triggered effect Effects 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims description 17
- 206010011469 Crying Diseases 0.000 claims description 6
- 125000004122 cyclic group Chemical group 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 206010039740 Screaming Diseases 0.000 claims description 2
- 230000007246 mechanism Effects 0.000 abstract description 4
- 238000000605 extraction Methods 0.000 abstract description 3
- 238000004321 preservation Methods 0.000 abstract 2
- 230000000717 retained effect Effects 0.000 abstract 1
- 206010011224 Cough Diseases 0.000 description 2
- 208000031361 Hiccup Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- LQIAZOCLNBBZQK-UHFFFAOYSA-N 1-(1,2-Diphosphanylethyl)pyrrolidin-2-one Chemical compound PCC(P)N1CCCC1=O LQIAZOCLNBBZQK-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
- H04N5/915—Television signal processing therefor for field- or frame-skip recording or reproducing
- H04N5/9155—Television signal processing therefor for field- or frame-skip recording or reproducing with sound multiplexing
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Library & Information Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The present invention relates to voice recognition monitoring record method and device, it includes herein below：Loop recording is carried out to monitored environment, the audio/video information of monitored environment is periodically obtained；The data that certain time period is selected from the audio/video information got carry out extraction preservation；Wherein, the extraction of data, which is preserved, possesses trigger mechanism, trigger mechanism includes automatic triggering and triggering manually, if being recorded to the audio information specific matched with sound characteristic sample information in monitored environment, and the audio/video information in the period that the audio information specific is occurred, which is extracted, to be preserved.Triggered automatically using loop recording and sound or preservation mechanism that manual trigger module is triggered, the scene that can have occurred and that some in life is retained in the way of audio frequency and video, and user need not preplan, and more save worry and high-efficiency tissue.
Description
Technical Field
The invention relates to the field of monitoring.
Background
At present, various audio and video recording devices support capturing and recording videos, photos and sounds, but pictures or sounds which will occur in the future are recorded, and the pictures or the sounds can only be planned in advance by a user and then shot or recorded aiming at the future scenes. The predictive recording method is inconvenient in certain application scenes, such as the first time a baby is called dad and mom, and the time when parents of new hands want to record the scene by a mobile phone is too late. If the content to be called and checked in the previous monitoring period is not extracted in time, the record is lost and cannot be searched again, which brings troubles to a plurality of subsequent works needing monitoring and matching investigation. Therefore, there is a need for improvement of the existing shooting and recording method.
Disclosure of Invention
The invention aims to provide an improved monitoring and recording method and a device corresponding to the method.
The technical scheme adopted by the invention for solving the technical problems is as follows: the voice recognition monitoring recording method comprises the following steps:
the voice recognition monitoring recording method comprises the following steps:
circularly recording the monitored environment, and periodically acquiring the audio and video information of the monitored environment;
continuously analyzing and comparing the acquired audio information in the monitored environment with preset sound characteristic sample information;
and when specific audio information matched with preset sound characteristic sample information appears in the audio information of the monitored environment, sending a trigger signal, and extracting and storing the audio and video information in the time period in which the specific audio information appears according to the trigger signal.
In the voice recognition monitoring recording method, the triggering signal may also be triggered manually, and the manual triggering includes the following: the user sends out the extracted and stored trigger signal in a manual mode, and extracts and stores the audio and video information in the time period of sending the trigger signal.
According to the voice identification monitoring recording method, the corresponding audio and video information is extracted and stored locally, and then a signal is sent to the terminal device to inform a user.
According to the voice identification monitoring recording method, the extracted and stored audio and video information is uploaded to a cloud storage server; and then, the audio and video information data which is extracted and stored locally is covered in the cyclic recording process.
According to the voice recognition monitoring recording method, a monitored object exists in the monitored environment, and the monitored object is an infant; the type of the sound characteristic sample information comprises one or more of crying, laughing, screaming and speaking of the infant.
According to the voice recognition monitoring recording method, the extracted and stored audio and video information is edited according to the time sequence to form a memory record file.
According to the voice identification monitoring recording method, the index relation is established for the extracted and stored audio and video information according to the type of the voice characteristic sample information.
The device comprises a controller, wherein the controller is in communication connection with a shooting module, a sound model database, a sound comparison module, a storage module and a communication module, and a sound acquisition device and the sound model database in the shooting module are in communication connection with the sound comparison module;
wherein,
the shooting module is used for circularly recording audio and video information in the monitored environment according to a certain period;
the sound model database stores sound characteristic sample information;
the voice comparison module is used for matching and comparing the audio information acquired by the voice acquisition device in the shooting module with the voice feature sample information in the voice model database, and sending a trigger signal after matching and comparing successfully;
the controller is used for sending a command after receiving the trigger signal, and extracting and storing the audio and video information in the storage module within the time period of the audio information matched with the sound characteristic sample information;
the storage module is used for circularly storing the audio and video information recorded by the shooting and recording module and the audio and video information extracted and stored by the controller;
and the communication module is used for data communication transmission among the device, the mobile terminal equipment and the cloud storage server.
The voice recognition monitoring recording device further comprises a manual trigger module, wherein the manual trigger module is used for actively sending a trigger signal to the controller by a user; the manual trigger module can be a manual remote controller, can be for setting up function button on the device, can be infrared human body inductor, still can install the soft button on mobile terminal APP for.
In the foregoing voice recognition monitoring and recording device, the voice model database is disposed in the device body or in the cloud storage server.
The technical scheme of the invention at least has the following beneficial effects: some audio and video clips which have occurred in the past can be automatically stored without planning in advance, so that the users can conveniently review the clips.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic view of the present invention;
the designations in the figures illustrate the following:
1. a sound collection device; 2. a database of acoustic models; 3. a sound comparison module; 4. a controller; 5. a storage module; 6. a manual trigger module; 7. a communication module; 8. a terminal device; 9. and a cloud storage server.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
There are always many nice scenes to record in life, which are often unpredictable and transient, such as crying, laughing, coughing, hiccups, speaking for the first time, etc. when the parent picks up the camcorder, these moments may have passed and it is not time to keep it permanently as electronic data. In the aspect of safety monitoring, a cyclic recording mode is adopted, for example, a three-day cycle is taken as a period, and after the period is passed, the audio and video information shot in the period is covered and deleted, so that the audio and video information cannot be recovered when being called later. Compared with the existing shooting record in a pre-planning way, the invention equivalently provides a method for recording and storing things which have happened in the past.
The voice recognition monitoring recording method comprises the following steps:
the method comprises the steps of recording a monitored environment in a circulating manner (the next period can cover the data of the previous period, namely, the data are obtained periodically), and periodically obtaining audio and video information of the monitored environment;
continuously analyzing and comparing the acquired audio information in the monitored environment with preset sound characteristic sample information;
when specific audio information matched with preset sound characteristic sample information appears in the audio information of the monitored environment, a trigger signal is sent, the audio and video information in the time period in which the specific audio information appears is extracted and stored according to the trigger signal, and the extracted and stored audio and video information cannot be covered in the circulating recording process.
The sound characteristic sample information is various sound sample data processed in advance, such as a crying sample, a laughing sample, a speaking sample and the like of the baby. The events in the monitoring environment can be stored periodically in an audio-video mode, and if the events are not extracted and stored, the content recorded before can be covered in the next cycle period. When a certain specific sound is recorded in the monitoring environment and matched with the sound characteristic sample information, for example, a baby cry is recorded, the specific audio information is matched with the crying sample in the sound characteristic sample information, the audios and videos in the time period in which the specific audio information appears are extracted and stored, and after the extraction and storage, the data in the time period cannot be covered in the circular recording process. The method has the advantages that the sound is used as a trigger mechanism, scene sections occurring in the monitoring environment are actively extracted and stored, and scenes needing long time or permanent storage can be effectively reserved.
Besides automatic triggering by sound, a manual triggering mode can be adopted, some scenes which are silent or cannot be matched with sound characteristic sample information are sometimes required to be recorded, and at the moment, a user sends out a trigger signal for extracting and storing in a manual mode and extracts and stores audio and video information in a time period for sending the trigger signal.
The time period for extracting and storing the audio and video information is preset, namely the time length to be reserved, the starting point and the end point are preset. An automatic triggering mode, in which specific audio information appears as a reference point, and the content of a period of time before and after the reference point is extracted and stored, such as the content of 10S (seconds) before, 10S after and 20S in total; the manual triggering mode is similar, and after the triggering signal is sent manually, the content before and after the time point of sending the signal can be extracted and stored, or a section before the time point of sending the signal can be extracted and stored. The manner of determining the time duration is not limited to the foregoing examples.
When some special scenes are extracted and saved, notification information is sent to inform the user. The user can check on corresponding terminal equipment, and the terminal equipment is generally electronic equipment such as a mobile phone and a tablet computer with an APP. If the infant monitoring device is used for monitoring infants, parents can timely know the conditions of the infants, and can better interact with the infants or soothe the emotions of the infants. If the method is used for safety monitoring, monitoring personnel can check the extracted and stored fragments in time and judge whether suspicious conditions occur, so that a good monitoring effect is achieved on safety production.
The user can upload the extracted and stored audio and video information to a cloud storage server; then, the audio-video information data which is extracted and stored locally is covered in the cyclic recording process (locally refers to a storage medium used in the cyclic recording process). The normal operation of the cyclic recording of the monitoring environment is ensured, and meanwhile, the recording is stored in the cloud end, so that the recording is convenient for a user to call at any time.
The extracted and stored audio and video information is edited according to the time sequence to form a memory record file, and in the aspect of infant monitoring, the memory record file records the growth trend of the infant and is a good memory record. Furthermore, an index relation is established for the extracted and stored audio and video information according to the type of the sound characteristic sample information, for example, the audio and video information is well managed in categories according to the types of crying, laughing, coughing, hiccups, speaking and the like, so that the audio and video information can be directly called by a user conveniently.
Correspondingly, the device corresponding to the voice identification monitoring recording method comprises a controller, wherein the controller is in communication connection with a shooting module, a voice model database, a voice comparison module, a storage module and a communication module, and a voice acquisition device and a voice model database in the shooting module are in communication connection with the voice comparison module.
Wherein,
the video recording module is used for recording audio and video information in the monitored environment according to a certain period in a circulating way and storing the audio and video information in a data buffer pool of the local storage module;
the sound model database stores sound characteristic sample information;
the voice comparison module is used for matching and comparing the audio information acquired by the voice acquisition device in the shooting module with the voice feature sample information in the voice model database, and sending a trigger signal after matching and comparing successfully;
the controller is used for sending a command after receiving the trigger signal, and extracting and storing the audio and video information in the storage module within the time period of the audio information matched with the sound characteristic sample information; extracting the audio and video information in a current certain time segment in a data buffer pool of a storage module to form a data archive file, and extracting and storing the data archive file in the storage module or a cloud server;
the storage module is used for circularly storing the audio and video information recorded by the shooting and recording module and the audio and video information extracted and stored by the controller; the recording module is used for circularly buffering and storing the audio and video information recorded by the recording module and the audio and video file information which is triggered by a controller command and is further extracted from the buffer pool;
and the communication module is used for data communication transmission among the device, the mobile terminal equipment and the cloud storage server.
The device also comprises a manual trigger module which is used for actively sending a trigger signal to the controller by a user; the manual trigger module is generally the remote controller, also can be for setting up the function button on the device, can also be human infrared sensor, also can be the form such as soft button of installing on mobile terminal APP, and the operation mode is various, nimble.
The device usually adopts a network camera (IPC), and the voice model database is arranged in the device body or in a cloud storage server. If the device is arranged in the device body, the comparison efficiency is higher; the controller is arranged at the cloud end and is communicated and transmitted with the communication module, so that the individual devices are simplified, the structure is simplified, and the cost is reduced.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, as it will be apparent to those skilled in the art that various modifications, combinations and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. The voice recognition monitoring recording method is characterized by comprising the following steps:
circularly recording the monitored environment, and periodically acquiring the audio and video information of the monitored environment;
continuously analyzing and comparing the acquired audio information in the monitored environment with preset sound characteristic sample information;
and when specific audio information matched with preset sound characteristic sample information appears in the audio information of the monitored environment, sending a trigger signal, and extracting and storing the audio and video information in the time period in which the specific audio information appears according to the trigger signal.
2. The voice recognition monitoring recording method of claim 1, wherein: the trigger signal may also be manually triggered, which includes the following,
the user sends out the extracted and stored trigger signal in a manual mode, and extracts and stores the audio and video information in the time period of sending the trigger signal.
3. The voice recognition monitoring recording method of claim 2, wherein: and extracting and storing the corresponding audio and video information locally, and then sending a signal to the terminal equipment to inform a user.
4. A voice recognition monitoring recording method as claimed in claim 3, wherein: uploading the extracted and stored audio/video information to a cloud storage server; and then, the audio and video information data which is extracted and stored locally is covered in the cyclic recording process.
5. The voice recognition monitoring recording method of claim 4, wherein: a monitored object exists in the monitored environment, and the monitored object is an infant; the type of the sound characteristic sample information comprises one or more of crying, laughing, screaming and speaking of the infant.
6. The voice recognition monitoring recording method of claim 5, wherein: and editing the extracted and stored audio and video information according to the time sequence to form a memory record file.
7. The voice recognition monitoring recording method of claim 6, wherein: and establishing an index relation of the extracted and stored audio and video information according to the type of the sound characteristic sample information.
8. Sound identification monitoring recorder, its characterized in that: the device comprises a controller, wherein the controller is in communication connection with a shooting module for shooting and recording audio and video, a sound model database, a sound comparison module, a storage module and a communication module, and a sound acquisition device and the sound model database in the shooting module are in communication connection with the sound comparison module;
wherein,
the shooting module is used for circularly recording audio and video information in the monitored environment according to a certain period;
the sound model database stores sound characteristic sample information;
the voice comparison module is used for matching and comparing the audio information acquired by the voice acquisition device in the shooting module with the voice feature sample information in the voice model database, and sending a trigger signal after matching and comparing successfully;
the controller is used for sending a command after receiving the trigger signal, and extracting and storing the audio and video information in the storage module within the time period of the audio information matched with the sound characteristic sample information;
the storage module is used for circularly storing the audio and video information recorded by the shooting and recording module and the audio and video information extracted and stored by the controller;
and the communication module is used for data communication transmission among the device, the mobile terminal equipment and the cloud storage server.
9. The voice recognition monitoring recording device of claim 8, wherein: the device also comprises a manual trigger module which is used for actively sending a trigger signal to the controller by a user; the manual trigger module can be a remote controller, can also be for setting up the function button on the device, also can be infrared inductor, also can be for installing the soft button in mobile terminal APP.
10. The voice recognition monitoring recording device of claim 9, wherein: the sound model database is arranged in the device body or in the cloud storage server.
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| CN201710262425.3A CN107018372A (en) | 2017-04-20 | 2017-04-20 | Voice recognition monitoring record method and device |
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| CN111901549A (en) * | 2020-08-07 | 2020-11-06 | 杭州当虹科技股份有限公司 | Auxiliary field recording cataloguing method based on voice recognition technology |
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Application publication date: 20170804 |