CN107610716A - Method for analyzing music and device - Google Patents
Method for analyzing music and device Download PDFInfo
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- CN107610716A CN107610716A CN201710865677.5A CN201710865677A CN107610716A CN 107610716 A CN107610716 A CN 107610716A CN 201710865677 A CN201710865677 A CN 201710865677A CN 107610716 A CN107610716 A CN 107610716A
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Abstract
The embodiment of the present application provides a kind of method for analyzing music and device, and methods described includes：Cutting is carried out to voice data, obtains multigroup voice data；Fast Fourier Transform (FFT) is carried out to every group of voice data in multigroup voice data, obtains frequency spectrum data；Carry out peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color analysis respectively to frequency spectrum data, obtain audio analysis result data.The embodiment of the present application to the voice data of music file by carrying out cutting and Fast Fourier Transform (FFT), peakvalue's checking, the detection of rhythm point, loudness detection etc. are carried out to the frequency spectrum data that Fast Fourier Transform (FFT) obtains again and obtains audio analysis result, with it is existing the mode of light is voluntarily adjusted according to music compared with, it can save and ask the professional light controller cost to be spent, can ensure again certain professional.
Description
Technical field
The application is related to control field, in particular to a kind of method for analyzing music and device.
Background technology
In recent years, the development of LED light source has driven the development of light fixture industry, and the effect of various light fixtures is increasingly abundanter, no
Only brightness, colour temperature etc., it have also appeared the light fixture of the various functions feature such as pattern, light beam, dyeing, stroboscopic, angle.When a lot
The variation effect for waiting these light fixtures is related to music, changes different effects with the difference of music.
In the market, the method on signal light control has following several：Lighting designer is beforehand through professional programming
Equipment, music is programmed, programmed result is stored in signal light control equipment, when music plays again, passes through midi signal
The lighting effects stored before are triggered etc. various modes, realize the semi-automation of signal light control.Or the light controller of specialty is according to existing
The music extemporaneous play of field, is controlled light in real time by the signal light control equipment of specialty.User is mechanical, electrical by hand
The modes such as brain, control box carry out the control of lighting effects manually.Several above is mostly impression of people itself basis to music
To carry out the control of light, but the light controller of specialty is experienced music and dimmed usually needs higher cost, user
Voluntarily feel that music regulation light is then extremely difficult to the degree of specialty.
Apply for content
In view of this, the embodiment of the present application provides a kind of method for analyzing music and device, existing according to sound to improve
The technical problem that the mode cost of happy regulation light is higher or professional degree is relatively low.
To achieve the above object, the embodiment of the present application provides a kind of method for analyzing music, and methods described includes：To audio
Data carry out cutting, obtain multigroup voice data；Fast Fourier change is carried out to every group of voice data in multigroup voice data
Change, obtain frequency spectrum data；The frequency spectrum data is carried out respectively peakvalue's checking, rhythm point detection, loudness detection, energy spectrometer with
And tone color analysis, obtain audio analysis result data.
The embodiment of the present application additionally provides a kind of music analysis device, and described device includes：Voice data acquisition module, use
In carrying out cutting to voice data, multigroup voice data is obtained；Frequency spectrum data acquisition module, in multigroup voice data
Every group of voice data carries out Fast Fourier Transform (FFT), obtains frequency spectrum data；Analysis result acquisition module, for the spectrum number
According to peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color analysis is carried out respectively, audio analysis result is obtained
Data.
The method for analyzing music of the embodiment of the present application offer and having the beneficial effect that for device：
The embodiment of the present application provides a kind of method for analyzing music and device, and methods described includes：Voice data is carried out
Cutting, obtain multigroup voice data；Fast Fourier Transform (FFT) is carried out to every group of voice data in multigroup voice data, obtains frequency
Modal data；Carry out peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color analysis respectively to frequency spectrum data, obtain
Obtain audio analysis result data.The embodiment of the present application to the voice data of music file by carrying out cutting and fast Fourier
Conversion, then peakvalue's checking, the detection of rhythm point, loudness detection etc. are carried out to the frequency spectrum data that Fast Fourier Transform (FFT) obtains and obtains sound
Frequency analysis result, with it is existing the mode of light is voluntarily adjusted according to music compared with, can save and ask professional light controller to be spent
The cost taken, it can ensure again certain professional.
Brief description of the drawings
, below will be to embodiment or existing for clearer explanation the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the flow chart for the method for analyzing music that the application first embodiment provides；
Fig. 2 is the specific steps schematic diagram of the step S130 shown in Fig. 1；
Fig. 3 is a kind of flow chart of embodiment of the step S130 shown in Fig. 1；
Fig. 4 is the structured flowchart for the music analysis device that the application second embodiment provides；
Fig. 5 is the schematic diagram for the lamp light control system that the application provides.
Embodiment
First embodiment
Fig. 1 is referred to, Fig. 1 shows a kind of flow chart for method for analyzing music that the application first embodiment provides, bag
Include following steps：
Step S110, cutting is carried out to voice data, obtains multigroup voice data.
Cutting is carried out to voice data, to obtain multigroup voice data, specifically, can be stopped according between voice data
Immediately come to carry out cutting to voice data between, cutting can also be carried out to voice data according to prefixed time interval.
Step S120, Fast Fourier Transform (FFT) is carried out to every group of voice data in multigroup voice data, obtains spectrum number
According to.
Fast Fourier Transform (FFT) is carried out respectively to the multigroup voice data cut out, so as to obtain frequency spectrum data.
Step S130, carry out peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer respectively to the frequency spectrum data
And tone color analysis, obtain audio analysis result data.
Peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color minute can be carried out respectively to frequency spectrum data
Analysis.For example, carrying out loudness detection to frequency spectrum data, the dispersion of frequency spectrum data can be specifically detected, if dispersion is big, is illustrated
Loudness is higher；For tone color, then the tone color of itself and database purchase can be contrasted.
Fig. 2 and Fig. 3 are referred to, step S130 can specifically include：
Step S131, obtain the dispersion of the loudness of the frequency spectrum data.
Step S132, if the dispersion is more than default number of discreteness, frequency spectrum data corresponding to the dispersion is designated as height
Tide.
Feature according to corresponding to audio analysis result acquisition voice data at each time point, such as loudness height are then designated as
Climax, signal light control data corresponding with climax are then searched from lighting effects material database again, such as A lamp is with high-high brightness
Chang Liang, you can using as signal light control data corresponding with climax, then using the signal light control data as the first signal light control number
Mapping relations are established according to the first time point occurred with climax.
Step S133, obtain the spectral energy values of the frequency spectrum data.
The spectral energy values can through frequency spectrum data spectrum analysis obtain.
Step S134, obtain spectrum energy section corresponding to the spectral energy values.
After obtaining specific spectral energy values, judge the spectral energy values are located at which area in multiple spectrum energy sections
Between, for example, can specifically include 3 spectrum energy sections, the first spectrum energy section is a~b, and the second spectrum energy section is
B~c, the 3rd spectrum energy section are c~d.Acquisition spectral energy values are b1, and b1 is more than b and is less than c, then b1 and the second frequency spectrum
Energy section is corresponding.
Step S135, obtain emotional expression area corresponding to the spectrum energy section.
Each spectrum energy section corresponds to different emotional expression areas respectively, such as three spectrum energy sections can be distinguished
Corresponding cheerful and light-hearted, dull, tranquil three kinds of emotional expressions.And every kind of emotional expression has corresponded to different light.Specifically, the emotion
Expression area is corresponding with multiple emotion expression service material ponds, and the step specifically includes：Obtain the feelings corresponding to the spectrum energy section
Sense expression area；An emotion expression service material is randomly selected from multiple emotion expression service material ponds corresponding to the emotional expression area
Pond.
Methods described can also include：According to the audio analysis result data and lighting effects material, light is obtained
Effect drive command, wherein, the lighting effects drive command includes multiple time points of the voice data, and it is multiple when
Between put in each time point light light on and off data.
It is described according to the audio analysis result data and lighting effects material, obtain lighting effects drive command, bag
Include：The first signal light control data corresponding with climax are searched from the lighting effects material database；When establishing corresponding to the climax
Between point and the mapping relations of the first signal light control data.
Obtain the dispersion of loudness numerical value in audio analysis result data.If loudness numerical value corresponding to first time point from
Divergence is more than default number of discreteness, then voice data corresponding to the first time point is labeled as into climax.From the lighting effects
The first signal light control data corresponding with climax are searched in material database.Establish the first time point and the first signal light control number
According to mapping relations.
Feature according to corresponding to audio analysis result acquisition voice data at each time point, such as loudness height are then designated as
Climax, signal light control data corresponding with climax are then searched from lighting effects material database again, such as A lamp is with high-high brightness
Chang Liang, you can using as signal light control data corresponding with climax, then using the signal light control data as the first signal light control number
Mapping relations are established according to the first time point occurred with climax.
The method for analyzing music that the application first embodiment provides by the voice data of music file is carried out cutting with
And Fast Fourier Transform (FFT), then peakvalue's checking, the detection of rhythm point, loudness are carried out to the frequency spectrum data that Fast Fourier Transform (FFT) obtains
Detection etc. obtain audio analysis result, with it is existing the mode of light is voluntarily adjusted according to music compared with, can save please specialty
Light controller's cost to be spent, it can ensure again certain professional.
Second embodiment
Fig. 4 is referred to, Fig. 4 shows the music analysis device that the application second embodiment provides, and the device 300 includes：
Voice data acquisition module 310, for carrying out cutting to voice data, obtain multigroup voice data.
Frequency spectrum data acquisition module 320, for carrying out fast Fourier to every group of voice data in multigroup voice data
Conversion, obtain frequency spectrum data.
Analysis result acquisition module 330, for carrying out peakvalue's checking, the detection of rhythm point respectively to the frequency spectrum data, ringing
Degree detection, energy spectrometer and tone color analysis, obtain audio analysis result data.
The analysis result acquisition module includes：
Dispersion acquisition submodule, the dispersion of the loudness for obtaining the frequency spectrum data.
High water mark submodule, if being more than default number of discreteness for the dispersion, by frequency spectrum corresponding to the dispersion
Data are designated as climax.
Spectral energy values acquisition submodule, for obtaining the spectral energy values of the frequency spectrum data.
Spectrum energy section acquisition submodule, for obtaining spectrum energy section corresponding to the spectral energy values.
Emotional expression area acquisition submodule, for obtaining emotional expression area corresponding to the spectrum energy section.
Described device also includes：Effect drive command acquisition module, for according to the audio analysis result data and
Lighting effects material, obtain lighting effects drive command.
The effect drive command acquisition module includes：
Signal light control submodule, for searching the first signal light control corresponding with climax from the lighting effects material database
Data；
Mapping relations submodule, for establishing the mapping at time point corresponding to the climax and the first signal light control data
Relation.
The music analysis device that second embodiment provides is corresponding identical with the method for analyzing music that first embodiment provides,
This is not just repeated.
Fig. 5 is referred to, user terminal 430 lifts music request, and local service end computer 420 judges local whether deposit
Light fixture control data corresponding with music request is contained, if being stored with, local service end computer 420 is according to light fixture control
The light fixtures such as data processed are controlled；If not storing, local service end computer 420 sends light fixture control data to server 410
Request, can also include music file and local light fixture information in the request.Server 410 include music analysis engine and
Light drives engine.
One local service end computer 420 can correspond to multiple user terminals 430, can also connect multiple decoding signals
440, a decoding signals 440 can export one or more circuit for being used to connect light fixture.Decoding signals are responsible for certainly
The signal light control data transmitted in the home network of definition are decoded into the control data for meeting light fixture, such as DMX512 data,
ARTNET data, Transistor-Transistor Logic level data, different decoders is equipped with for different light fixtures, so as to solve to the simultaneous of various light fixtures
Capacitive problem.
Music analysis engine and the automatic engine of light are placed on high in the clouds, can public one for all home servers
Individual high in the clouds.The system in the high in the clouds can facilitate the continuous upgrading of real effect, and the music analysis engine and light of constantly improve are certainly
Dynamic generation engine can will easily allow the local service end computer 420 of all accesses to be benefited, and update lighting effects.Meanwhile because
It is not real light fixture control data for the simply light drive command data flow of light automatic engine generation, the number of transmission
Greatly reduce according to amount, because an order generally only tens bytes, and this order passes through local service end computer solution
Can be tens KB after analysis generation data, or even tens MB data.
Specifically, local service end computer 420 and user terminal 430 equipment that can be two different, in special circumstances
Lower or local service end computer 420 and user terminal 430 are same computers.
Music analysis engine and the automatic engine of light are placed on high in the clouds, and one can be shared for all home servers
Individual high in the clouds, so as to economize on resources, but high in the clouds can not also be placed under special circumstances, and be placed on local, for example can not realize cloud
Terminate into occasion.
Light, which automatically generates engine, can directly generate light fixture control data, be passed in the form of TTL, DMX512, ARTNET etc.
It is defeated by local service end computer, parsing of the local service end computer without entering line command again, without generating customized light number
According to, but light fixture is transferred directly to after data are packed, it is no longer necessary to decoding signals.
The embodiment of the present application provides a kind of method for analyzing music and device, and methods described includes：Voice data is carried out
Cutting, obtain multigroup voice data；Fast Fourier Transform (FFT) is carried out to every group of voice data in multigroup voice data, obtains frequency
Modal data；Carry out peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color analysis respectively to frequency spectrum data, obtain
Obtain audio analysis result data.The embodiment of the present application to the voice data of music file by carrying out cutting and fast Fourier
Conversion, then peakvalue's checking, the detection of rhythm point, loudness detection etc. are carried out to the frequency spectrum data that Fast Fourier Transform (FFT) obtains and obtains sound
Frequency analysis result, with it is existing the mode of light is voluntarily adjusted according to music compared with, can save and ask professional light controller to be spent
The cost taken, it can ensure again certain professional.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
For device class embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is joined
See the part explanation of embodiment of the method.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it can also be passed through
Its mode is realized.Device embodiment described above is only schematical, for example, the flow chart and block diagram in accompanying drawing show
Device, architectural framework in the cards, the work(of method and computer program product of multiple embodiments according to the application are shown
Can and it operate.At this point, each square frame in flow chart or block diagram can represent one of a module, program segment or code
Point, a part for the module, program segment or code includes one or more and is used to realize the executable of defined logic function
Instruction.It should also be noted that at some as in the implementation replaced, the function of being marked in square frame can also be with different from attached
The order marked in figure occurs.For example, two continuous square frames can essentially perform substantially in parallel, they also may be used sometimes
To perform in the opposite order, this is depending on involved function.It is it is also noted that each in block diagram and/or flow chart
The combination of square frame and the square frame in block diagram and/or flow chart, can use function or action as defined in performing it is special based on
The system of hardware is realized, or can be realized with the combination of specialized hardware and computer instruction.
In addition, each functional module in each embodiment of the application can integrate to form an independent portion
Point or modules individualism, can also two or more modules be integrated to form an independent part.
If the function is realized in the form of software function module and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the application is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are causing a computer equipment (can be
People's computer, server, or network equipment etc.) perform each embodiment methods described of the application all or part of step.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
Illustrate, herein, such as first and second or the like relational terms be used merely to by an entity or operation with
Another entity or operation make a distinction, and not necessarily require or imply between these entities or operation any this reality be present
The relation or order on border.Moreover, term " comprising ", "comprising" or its any other variant are intended to the bag of nonexcludability
Contain, so that process, method, article or equipment including a series of elements not only include those key elements, but also including
The other element being not expressly set out, or also include for this process, method, article or the intrinsic key element of equipment.
In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including the key element
Process, method, other identical element also be present in article or equipment.
The preferred embodiment of the application is the foregoing is only, is not limited to the application, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.It should be noted that：Similar label and letter exists
Similar terms is represented in following accompanying drawing, therefore, once being defined in a certain Xiang Yi accompanying drawing, is then not required in subsequent accompanying drawing
It is further defined and explained.
Described above, the only embodiment of the application, but the protection domain of the application is not limited thereto is any
Those familiar with the art can readily occur in change or replacement in the technical scope that the application discloses, and should all contain
Cover within the protection domain of the application.Therefore, the protection domain of the application described should be defined by scope of the claims.
Claims (10)
1. a kind of method for analyzing music, it is characterised in that methods described includes：
Cutting is carried out to voice data, obtains multigroup voice data；
Fast Fourier Transform (FFT) is carried out to every group of voice data in multigroup voice data, obtains frequency spectrum data；
Carry out peakvalue's checking, the detection of rhythm point, loudness detection, energy spectrometer and tone color analysis respectively to the frequency spectrum data,
Obtain audio analysis result data.
2. according to the method for claim 1, it is characterised in that it is described the frequency spectrum data is carried out respectively peakvalue's checking,
The detection of rhythm point, loudness detection, energy spectrometer and tone color analysis, including：
Obtain the dispersion of the loudness of the frequency spectrum data；
If the dispersion is more than default number of discreteness, frequency spectrum data corresponding to the dispersion is designated as climax.
3. according to the method for claim 1, it is characterised in that it is described the frequency spectrum data is carried out respectively peakvalue's checking,
The detection of rhythm point, loudness detection, energy spectrometer and tone color analysis, in addition to：
Obtain the spectral energy values of the frequency spectrum data；
Obtain spectrum energy section corresponding to the spectral energy values；
Obtain emotional expression area corresponding to the spectrum energy section.
4. according to the method for claim 2, it is characterised in that methods described also includes：
According to the audio analysis result data and lighting effects material, lighting effects drive command is obtained, wherein, the lamp
Light effect drive command includes multiple time points of the voice data, and each time point light in multiple time points is bright
Go out data.
5. according to the method for claim 4, it is characterised in that described according to the audio analysis result data and light
Effect material, lighting effects drive command is obtained, including：
The first signal light control data corresponding with climax are searched from the lighting effects material database；
Establish the mapping relations at time point corresponding to the climax and the first signal light control data.
6. a kind of music analysis device, it is characterised in that described device includes：
Voice data acquisition module, for carrying out cutting to voice data, obtain multigroup voice data；
Frequency spectrum data acquisition module, for carrying out Fast Fourier Transform (FFT) to every group of voice data in multigroup voice data, obtain
Obtain frequency spectrum data；
Analysis result acquisition module, for the frequency spectrum data is carried out respectively peakvalue's checking, rhythm point detection, loudness detection,
Energy spectrometer and tone color analysis, obtain audio analysis result data.
7. device according to claim 6, it is characterised in that the analysis result acquisition module includes：
Dispersion acquisition submodule, the dispersion of the loudness for obtaining the frequency spectrum data；
High water mark submodule, if being more than default number of discreteness for the dispersion, by frequency spectrum data corresponding to the dispersion
It is designated as climax.
8. device according to claim 6, it is characterised in that the analysis result acquisition module also includes：
Spectral energy values acquisition submodule, for obtaining the spectral energy values of the frequency spectrum data；
Spectrum energy section acquisition submodule, for obtaining spectrum energy section corresponding to the spectral energy values；
Emotional expression area acquisition submodule, for obtaining emotional expression area corresponding to the spectrum energy section.
9. device according to claim 7, it is characterised in that described device also includes：
Effect drive command acquisition module, for according to the audio analysis result data and lighting effects material, obtaining lamp
Light effect drive command.
10. device according to claim 9, it is characterised in that the effect drive command acquisition module includes：
Signal light control submodule, for searching the first signal light control number corresponding with climax from the lighting effects material database
According to；
Mapping relations submodule, closed for establishing time point corresponding to the climax and the mapping of the first signal light control data
System.
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| CN201710865677.5A CN107610716A (en) | 2017-09-22 | 2017-09-22 | Method for analyzing music and device |
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| CN201710865677.5A CN107610716A (en) | 2017-09-22 | 2017-09-22 | Method for analyzing music and device |
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| CN112153787A (en) * | 2020-09-23 | 2020-12-29 | 北京百瑞互联技术有限公司 | Method, device and medium for rhythm colored lamp according to LC3 Bluetooth music rhythm |
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