CN104281682A - File classifying system and method - Google Patents
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- CN104281682A CN104281682A CN201410524658.2A CN201410524658A CN104281682A CN 104281682 A CN104281682 A CN 104281682A CN 201410524658 A CN201410524658 A CN 201410524658A CN 104281682 A CN104281682 A CN 104281682A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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Abstract
Disclosed are a file classifying system and method. The file classifying system comprises a storing device, a receiving device and a processor, the storing device stores at least one identifying audio frequency, the receiving device acquires an audio file or a video file, and the processor compares a related audio frequency related to the audio file or the video file with the identifying audio frequencies to generate a processing unit so as to automatically classify the audio file or the video file according to the processing result to eliminate troublesomeness in manual file classification.
Description
Technical field
The invention relates to a kind of sorting technique, and relate to a kind of document classification system and file classifying method especially.
Background technology
Recording or the technical development one period of time of making video recording, wherein great majority are carry out research for sound or image capture technical elements to improve, and less inking is in the location mode that classifies having recorded file.
Generally speaking, when recording or the audio files of generation after having made video recording or image file often deposit in same position, and naming rule often uses similar English and/or combination of numbers sequentially to increase progressively as file name; Except non-user renames voluntarily, otherwise be difficult to single with regard to file name determination file content.After long-time, when number of files is huge, and when user does not regularly arrange, for looking for specific file in multifile of comforming, the thing of real not readily.
Summary of the invention
For solving recording or when making video recording, the problem of proper classification failed by file, an aspect of of the present present invention is to provide a kind of document classification system, and it comprises storage device, receiving trap and processor.Storage device stores at least one identification audio frequency, and receiving trap obtains an audio files or an image file.Processor is connected in a related audio of this audio files or this image file by closing and this at least one identification audio frequency compares to produce a result, and then automatically carries out the classification of audio files or image file according to this result.
Another aspect of the present invention is to provide a kind of file classifying method, and it comprises following steps: (A) stores at least one identification audio frequency; (B) audio files or an image file is obtained; (C) related audio and this at least one identification audio frequency that pass are connected in this audio files or this image file compare to produce a result, and then automatically carry out the classification of this audio files or this image file according to this result.
In sum, the present invention improves document classification mode starting point, provides voice filing identification mechanism, allows file Fast Classification, avoid loaded down with trivial details operation.
By with embodiment, above-mentioned explanation is explained in detail below, and technical scheme of the present invention is provided further explains.
Accompanying drawing explanation
For above and other object of the present invention, feature, advantage and embodiment can be become apparent, appended the description of the drawings is as follows:
Fig. 1 is the document classification system schematic according to first embodiment of the invention;
Fig. 2 is the document classification system schematic according to second embodiment of the invention;
Fig. 3 is the document classification system schematic according to third embodiment of the invention;
Fig. 4 is the document classification system schematic according to fourth embodiment of the invention; And
Fig. 5 is the file classifying method process flow diagram according to fifth embodiment of the invention.
Embodiment
In order to make of the present invention describe more detailed and complete, can refer to the various embodiments of accompanying drawing and the following stated.But the embodiment provided also is not used to limit the scope that contains of the present invention; The description of step is also not used to limit its order performed, any by reconfiguring, produce the device with impartial effect, be all the scope that the present invention is contained.
Please refer to Fig. 1, it is the document classification system 100 illustrating the first embodiment of the present invention.Document classification system 100 comprises storage device 130, receiving trap 140 and processor 120.In implementation, storage device 130 can be hard disk, fast flash memory bank or other storing medias, receiving trap 140 can be at least one transmit port, it can be wired and/or wireless transmit port according to actual demand, and can according to actual demand for numeral and/or analog transmission port (as: HDMI, USB, 3.5mm etc.) is built-in or external ground be connected to recording and/or recording device, processor 120 can be central processing unit, microcontroller or other circuit.
In recording or before making video recording, one section of voice of pre-recording first can be stored in storage device 130 as identification audio frequency 132 by user (as: speaker), stores identification audio frequency 132 by storage device 130.In recording or after having made video recording, receiving trap 140 receives audio files or image file 110, after document classification system 100 can point out requirement or speaker to select voice to sort out, processor 120 is connected in a related audio of audio files or this image file 110 by closing and identification audio frequency 132 compares to produce result 122, wherein this result 122 is with the classified information of suggestion, then, processor 120 carries out the classification of audio files or image file 110 automatically according to result 122.For example, if this related audio and identification audio frequency 132 match, this representative voice file or image file 110 are the recording of speaker or data of making video recording, therefore, audio files or this image file 110 are sorted out the classification that this speaker is custom to storage device 130 by processor 120 automatically, whereby, loaded down with trivial details manual operation is avoided.
In order to be further elaborated the mode of including of identification audio frequency 132 of the present invention, please refer to Fig. 2, it is the document classification system 200 illustrating the second embodiment of the present invention, the document classification system 200 of Fig. 2 is except increasing voice recorder 250, and all the other hardware are identical in fact with the document classification system 100 of Fig. 1.In implementation, voice recorder 250 can be microphone or other audio signal reception devices, in addition, voice recorder 250 also can according to actual demand and receiving trap 140 built-in or external recording device be integrated into same device.
Before audio files or image file 110 are by recording, user (as: speaker) can pass through identification audio frequency 132 that the built-in voice recorder of document classification system 200 250 pre-records above-mentioned using the reference sample as speech recognition, simple and convenient.In recording or after having made video recording, processor 120 is connected in the related audio of audio files or this image file 110 by closing and identification audio frequency 132 compares to produce result 122, and then automatically carries out the classification of audio files or image file 110 according to result 122.
Below collocation Fig. 3, Fig. 4 are illustrated the various examples of the related audio correlated in audio files or this image file 110, please also refer to Fig. 3, it is the document classification system 300 illustrating the third embodiment of the present invention.The document classification system 300 of Fig. 3 is except increasing audio frequency capture device 360, and all the other hardware are identical in fact with the document classification system 200 of Fig. 2.In implementation, audio frequency capture device 360 can be adlib, audio processing chip or other likes.
After audio files or image file 110 are completed by recording, the audio frequency co-pending (pending audio signal) 362 that audio frequency capture device 360 captures from audio files or image file 110 is connected in the related audio of audio files or this image file 110 as closing.Then, processor 120 comparison audio frequency 362 co-pending and identification audio frequency 132 to produce result 122, and then carry out the classification of audio files or image file 110 automatically according to result 122.
About concrete mode classification, in an embodiment, before recording or making video recording, speaker can operation file categorizing system 300 or external computer device with custom exclusive classification 334 (as: information kit of Windows operating system), storage device 130 is made to record classification 334, the path of this classification 334 and associating between identification audio frequency 132 is set up by processor 120, after audio files or image file 110 are completed by recording, processor 120 is analyzed and the acoustic feature (acoustic feature) of comparison audio frequency 362 co-pending and the acoustic feature of identification audio frequency 132, when the acoustic feature of audio frequency 362 co-pending and the acoustic feature of identification audio frequency 132 match, audio files or image file 110 are sorted out to classification 234 by processor 120.
Or, in another embodiment, after audio files or image file 110 are completed by recording, processor 120 is analyzed and the meaning of one's words feature (semantic feature) of comparison audio frequency 362 co-pending and the meaning of one's words feature of identification audio frequency 132, when the meaning of one's words feature of audio frequency 362 co-pending and the meaning of one's words feature of identification audio frequency 132 match, audio files or image file 110 are sorted out to classification 234 by processor 120.
In the speech recognition mechanism of document classification system 300, the proportion of composing of above-mentioned acoustic feature such as voice and background sound, can carry out scenery identification or voice identification in order to assist judgement; Scenery identification can pass through the character of background sound, object, event arround supposition; Voice identification then can utilize the tonequality feature of voice, if vocal print is as comparison foundation.Meaning of one's words feature such as can pass through the crucial words in the middle of identification audio frequency, or through conventional words and phrases, name etc.Above-mentioned acoustic feature and meaning of one's words feature are not limited to enumerate scope, and all acoustic feature or meaning of one's words features that can be used as scenery identification foundation, all should be included within the scope of the present invention.
Except audio frequency 362 co-pending can be used as the related audio closing and be connected in audio files or this image file 110, another example of related audio, please refer to Fig. 4, and it is the document classification system 400 illustrating the fourth embodiment of the present invention.The hardware structure of the document classification system 400 of Fig. 4 is identical with the hardware structure of the document classification system 200 of Fig. 2 in fact.
After audio files or image file 110 are completed by recording, speaker reads out one section of statement audio frequency 452 as a supplement, voice recorder 250 is received supplementary audio 452 is connected in audio files or this image file 110 related audio as above-mentioned pass, then, processor 120 comparison supplementary audio 452 and identification audio frequency 132 to produce result 122, and then carry out the classification of audio files or image file 110 automatically according to result 122.
About concrete mode classification, in an embodiment, before recording or making video recording, speaker can operation file categorizing system 400 or external computer device with custom exclusive classification 434 (as: information kit of Windows operating system), storage device 130 is made to record classification 434, the path of this classification 434 and associating between identification audio frequency 132 is set up by processor 120, after audio files or image file 110 are completed by recording, processor 120 is analyzed and the acoustic feature of comparison supplementary audio 452 and the acoustic feature of identification audio frequency 132, when the acoustic feature of supplementary audio 452 and the acoustic feature of identification audio frequency 132 match, audio files or image file 110 are sorted out to classification 434 by processor 120.
Or, in another embodiment, after audio files or image file 110 are completed by recording, processor 120 is analyzed and the meaning of one's words feature of comparison supplementary audio 452 and the meaning of one's words feature of identification audio frequency 132, when the meaning of one's words feature of supplementary audio 452 and the meaning of one's words feature of identification audio frequency 132 match, audio files or image file 110 are sorted out to classification 434 by processor 120.
In the speech recognition mechanism of document classification system 400, the proportion of composing of acoustic feature such as voice and background sound, can carry out scenery identification or voice identification in order to assist judgement; Scenery identification can pass through the character of background sound, object, event arround supposition; Voice identification then can utilize the tonequality feature of voice, if vocal print is as comparison foundation.Meaning of one's words feature such as can pass through the crucial words in the middle of identification audio frequency, or through conventional words and phrases, name etc.Above-mentioned acoustic feature and meaning of one's words feature are not limited to enumerate scope, and all acoustic feature or meaning of one's words features that can be used as scenery identification foundation, all should be included within the scope of the present invention.
Fig. 5 is the process flow diagram of the file classifying method 500 of the fifth embodiment of the present invention.File classifying method 500 can carry out implementation via a computer system, such as aforesaid document classification system 100,200,300,400, also can be at least one computer program by partial function implementation, and be stored in the recording medium of an embodied on computer readable, this at least one computer program has multiple instruction, makes this computing machine execute file sorting technique 500 when these instructions perform on a computer.
As shown in Figure 5, file classifying method 500 comprises multiple step S502 ~ S506.The those skilled in the art being so familiar with this case should be appreciated that, step mentioned in the present embodiment, except chatting its order person bright especially, all can adjust its tandem according to actual needs, even can perform simultaneously or partly simultaneously.As for the hardware unit implementing these steps, because above embodiment specifically discloses, therefore it is no longer repeated.
First, before recording or making video recording, in step S502, pre-record and store identification audio frequency using the reference sample as speech recognition, this identification audio frequency can be one section of voice of user (as: speaker).Then, in recording or after having made video recording, in step S504, receive audio files or image file, system can point out requirement or speaker to select voice to sort out, then, in step S506, the related audio and the identification audio frequency that pass are connected in audio files or this image file compare to produce result, and then automatically carry out the classification of audio files or image file according to result.So, by the voice of file classifying method 500 filing identification mechanism, allow file Fast Classification, avoid loaded down with trivial details manual operation.
Specifically, before recording or making video recording, speaker can operate computer system with custom exclusive classification (as: information kit of Windows operating system), in step S502, sets up associating between such other path with identification audio frequency.In step S506, the related audio being connected in audio files or this image file if close and identification audio frequency match, this representative is the recording of speaker or makes video recording, therefore, audio files or this image file 110 are sorted out the classification that this speaker is custom to storage device 130 by processor 120 automatically.
Above-mentioned related audio has at least two kinds of implementation, about first kind of way, in an embodiment, step S506 captures an audio frequency co-pending using as related audio from audio files or image file, analyze and the acoustic feature of comparison audio frequency co-pending and the acoustic feature of at least one identification audio frequency, when the acoustic feature of audio frequency co-pending and the acoustic feature of at least one identification audio frequency match, audio files or image file are sorted out to this classification.
Or, in another embodiment, step S506 analyzes and the meaning of one's words feature of comparison audio frequency co-pending and the meaning of one's words feature of at least one identification audio frequency, when the meaning of one's words feature of audio frequency co-pending and the meaning of one's words feature of at least one identification audio frequency match, by audio files or image file classification to this classification.
About the second implementation of related audio, in an embodiment, step S506 receives a supplementary audio using as related audio, and supplementary audio wherein can be speaker at recording or one section of statement reading out after having made video recording; Then, step S506 analyzes and at least one acoustic feature of identification audio frequency of comparison and the acoustic feature of supplementary audio, when at least one acoustic feature of identification audio frequency and the acoustic feature of supplementary audio match, by audio files or image file classification to this classification.
Or, in another embodiment, step S506 analyzes and the meaning of one's words feature of at least one identification audio frequency of comparison and the meaning of one's words feature of supplementary audio, when the meaning of one's words feature of at least one identification audio frequency and the meaning of one's words feature of supplementary audio match, by audio frequency classification co-pending to this classification.
Above-mentioned steps S506 analyze and the acoustic feature of comparison time, also the frequency of audio frequency, frequency spectrum (frequency spectrum), amplitude (amplitude), phase place (phase), the duration of a sound (duration), vocal print (voice print) or its combination in any can be utilized, or the result of frequency domain (time domain to frequency domain transform) is converted to through the result of mathematical operation, time domain, using the foundation as analysis and comparison, and all should be included within the scope of the claims of the present invention.When carrying out scenery identification, can pass through the object arround identification, the tweeting sound etc. of the footsteps that such as different footwear kind sends, the different vehicles, different animals; Also can identification event, such as sound of the wind, the patter of rain, switch gate sound, different genres of music etc.; Pitch (pitch), accent intonation (accent), rhythm (rhythm), volume (volume), tone color (tone quality) etc. that voice identification can be spoken according to different people, to identify the uniqueness of different personage.Or user can the power of the matching degree of self-defining acoustic feature and the order of Rule of judgment on demand, and is stored in this storage device.All acoustic features that can be used as scenery identification or voice identification foundation, all should be included within the scope of the claims of the present invention.
Above-mentioned steps S506 is when the meaning of one's words feature analyzed, mode comprises the crucial words in the middle of identification audio frequency, and the term of the term of such as different motion, different occasion (speech, wedding ceremony, graduation ceremony, concert etc.) can in order to carry out scenery identification; If voice identification then can pass through conventional words and phrases, name, relation term etc.Above-mentioned matching degree illustrates as follows: it is high that upper language (hypernym) and the next language (hyponym), synonym (synonym), approximate concept, the translation vocabulary of different language, the name of different language or a part of name all may be defined as matching degree, and can according to user's demand the power of self-defining matching degree and the order of Rule of judgment, and to be stored in storage device.
Above-mentioned step S506 can be set as automatically classifying according to this result, or is classified to a classification through suggestion, allows user be confirmed this result, visual user demand elasticity adjustment; The wherein a kind of form of classifying that illustrates is that filing is extremely as in an information kit of Windows operating system.
In sum, the present invention is able to through the above embodiments after recording at every turn or making video recording, file is classified to immediately in the middle of suitable classification, to solve recording or to make video recording file when for a long time not arranging or number of files is numerous, be difficult to the problem searching out rapidly specific file, also exempt the trouble of artificial document classification.
Although the present invention discloses as above with embodiment; so itself and be not used to limit the present invention, be anyly familiar with this those skilled in the art, without departing from the spirit and scope of the present invention; when being used for a variety of modifications and variations, the scope that therefore protection scope of the present invention ought define depending on claims is as the criterion.
Claims (16)
1. a document classification system, is characterized in that, comprises:
One storage device, stores at least one identification audio frequency;
One receiving trap, obtains an audio files or an image file; And
One processor, the related audio and this at least one identification audio frequency that pass are connected in this audio files or this image file compare to produce a result, and then automatically carry out the classification of this audio files or this image file according to this result.
2. document classification system according to claim 1, is characterized in that, separately comprise:
One voice recorder, before this audio files or this image file are recorded, this at least one identification audio frequency of pre-recording.
3. document classification system according to claim 2, is characterized in that, separately comprise:
One audio frequency capture device, captures an audio frequency co-pending using as this related audio from this audio files or this image file.
4. document classification system according to claim 3, is characterized in that, it is characterized in that, at least one classification of this storage device record, is set up the path of this at least one classification and associating between this at least one identification audio frequency by this processor,
After this audio files or this image file are completed by recording, this processor is analyzed and the acoustic feature of this audio frequency co-pending of comparison and the acoustic feature of this at least one identification audio frequency, when the acoustic feature of this audio frequency co-pending and the acoustic feature of this at least one identification audio frequency match, this audio files or this image file are sorted out to this at least one classification by this processor.
5. document classification system according to claim 3, is characterized in that, at least one classification of this storage device record, is set up the path of this at least one classification and associating between this at least one identification audio frequency by this processor,
After this audio files or this image file are completed by recording, this processor is analyzed and the meaning of one's words feature of this audio frequency co-pending of comparison and the meaning of one's words feature of this at least one identification audio frequency, when the meaning of one's words feature of this audio frequency co-pending and the meaning of one's words feature of this at least one identification audio frequency match, this audio files or this image file are sorted out to this at least one classification by this processor.
6. document classification system according to claim 1, is characterized in that, separately comprise:
One voice recorder, after this audio files or this image file are completed by recording, receives a supplementary audio using as this related audio.
7. document classification system according to claim 6, is characterized in that, at least one classification of this storage device record, is set up the path of this at least one classification and associating between this at least one identification audio frequency by this processor,
After this audio files or this image file are completed by recording, this processor is analyzed and comparison this at least one acoustic feature of identification audio frequency and acoustic feature of this supplementary audio, when this at least one acoustic feature of identification audio frequency and the acoustic feature of this supplementary audio match, this audio files or this image file are sorted out to this at least one classification by this processor.
8. document classification system according to claim 6, is characterized in that, at least one classification of this storage device record, is set up the path of this at least one classification and associating between this at least one identification audio frequency by this processor,
After this audio files or this image file are completed by recording, this processor is analyzed and the meaning of one's words feature of this at least one identification audio frequency of comparison and the meaning of one's words feature of this supplementary audio, when the meaning of one's words feature of this at least one identification audio frequency and the meaning of one's words feature of this supplementary audio match, this audio files or this image file are sorted out to this at least one classification by this processor.
9. a file classifying method, is characterized in that, comprises the following step:
(A) at least one identification audio frequency is stored;
(B) audio files or an image file is obtained; And
(C) related audio and this at least one identification audio frequency that pass are connected in this audio files or this image file compare to produce a result, and then automatically carry out the classification of this audio files or this image file according to this result.
10. file classifying method according to claim 9, is characterized in that, step (A) comprises:
Before this audio files or this image file are recorded, this at least one identification audio frequency of pre-recording.
11. file classifying methods according to claim 10, is characterized in that, step (C) comprises:
An audio frequency co-pending is captured using as this related audio from this audio files or this image file.
12. file classifying methods according to claim 11, is characterized in that, step (A) comprises: set up the path of at least one classification and associating between this at least one identification audio frequency; Step (C) separately comprises: after this audio files or this image file are completed by recording, analyze and the acoustic feature of this audio frequency co-pending of comparison and the acoustic feature of this at least one identification audio frequency, when the acoustic feature of this audio frequency co-pending and the acoustic feature of this at least one identification audio frequency match, this audio files or this image file are sorted out to this at least one classification.
13. file classifying methods according to claim 11, is characterized in that, step (A) comprises: set up the path of at least one classification and associating between this at least one identification audio frequency; Step (C) separately comprises: after this audio files or this image file are completed by recording, analyze and the meaning of one's words feature of this audio frequency co-pending of comparison and the meaning of one's words feature of this at least one identification audio frequency, when the meaning of one's words feature of this audio frequency co-pending and the meaning of one's words feature of this at least one identification audio frequency match, this audio files or this image file are sorted out to this at least one classification.
14. file classifying methods according to claim 9, is characterized in that, step (C) comprises:
After this audio files or this image file are completed by recording, receive a supplementary audio using as this related audio.
15. file classifying methods according to claim 14, is characterized in that, step (A) comprises: set up the path of at least one classification and associating between this at least one identification audio frequency; Step (C) separately comprises: after this audio files or this image file are completed by recording, analyze and comparison this at least one acoustic feature of identification audio frequency and acoustic feature of this supplementary audio, when this at least one acoustic feature of identification audio frequency and the acoustic feature of this supplementary audio match, this audio files or this image file are sorted out to this at least one classification.
16. file classifying methods according to claim 14, is characterized in that, step (A) comprises: set up the path of at least one classification and associating between this at least one identification audio frequency; Step (C) separately comprises: after this audio files or this image file are completed by recording, analyze and the meaning of one's words feature of this at least one identification audio frequency of comparison and the meaning of one's words feature of this supplementary audio, when the meaning of one's words feature of this at least one identification audio frequency and the meaning of one's words feature of this supplementary audio match, this audio frequency co-pending is sorted out to this at least one classification.
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| CN201410524658.2A CN104281682A (en) | 2014-09-30 | 2014-09-30 | File classifying system and method |
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| CN104731927A (en) * | 2015-03-27 | 2015-06-24 | 努比亚技术有限公司 | Sound recording file classifying method and system |
| CN104731979A (en) * | 2015-04-16 | 2015-06-24 | 广东欧珀移动通信有限公司 | Method and device for storing all exclusive information resources of specific user |
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| CN1619640A (en) * | 2003-11-21 | 2005-05-25 | 先锋株式会社 | Automatic musical composition classification device and method |
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| CN104731927A (en) * | 2015-03-27 | 2015-06-24 | 努比亚技术有限公司 | Sound recording file classifying method and system |
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Application publication date: 20150114 |