CN107301185A - Music commending system and method - Google Patents
Music commending system and method Download PDFInfo
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- CN107301185A CN107301185A CN201610235644.8A CN201610235644A CN107301185A CN 107301185 A CN107301185 A CN 107301185A CN 201610235644 A CN201610235644 A CN 201610235644A CN 107301185 A CN107301185 A CN 107301185A
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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
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
- G06F16/636—Filtering based on additional data, e.g. user or group profiles by using biological or physiological data
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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
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
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Abstract
The present invention provides a kind of music and recommends method, and applied in server, the server is connected with least one client and a musical database, and storage includes the music of emotion numerical information in the musical database, and this method includes：Receiving step, the selected emotion numerical value X of user for receiving the client from client；Recommendation step, picks out a first emotion numerical value closest to X music, and the information of the music is sent into the client according to default rule from the musical database.Present invention also offers a kind of music commending system.Music can be recommended to personalization to user by the present invention.
Description
Technical field
Recommend method the present invention relates to a kind of music commending system and a kind of music.
Background technology
The existing music style that can be selected according to user of method for recommending music or
Music type recommends music to user, but can't detect user and listening music
Emotional change afterwards etc. so that the music of recommendation can not meet the personalization of user
Demand.
The content of the invention
In view of the foregoing, it is necessary to which a kind of music commending system and a kind of sound are provided
Happy recommendation method, can be according to emotional change of the user after the music of recommendation is heard
Carry out personalized recommendation music.
A kind of music commending system, applied in server, the server and at least one
Individual client and a musical database are connected, and bag is stored in the musical database
The music of the numerical information containing emotion, the system includes：Receiving module, for from client
End receives the selected emotion numerical value X of user of the client；Recommending module, is used for
A first emotion numerical value is picked out from the musical database according to default rule most to connect
Nearly X music, and the information of the music is sent to the client.
The music commending system still further comprises adjusting module, for from the visitor
Family end receives physiological data of the user of the client after the music is listened to,
The current feelings of the user are calculated according to the physiological data and default algorithm
Feel numerical value Z, and according to the current emotion numerical value Z of user and the emotion numerical value of selection
X picks out another song from the musical database, and the information of the music is sent out
Give the client.
A kind of music recommends method, applied in server, the server and at least one
Individual client and a musical database are connected, and bag is stored in the musical database
The music of the numerical information containing emotion, this method includes：Receiving step, from client's termination
The selected emotion numerical value X of user for receiving the client；Recommendation step, according to pre-
If rule a first emotion numerical value is picked out from the musical database closest to X's
Music, and the information of the music is sent to the client.
The music recommends method to still further comprise set-up procedure, from the client
Physiological data of the user of the client after the music is listened to is received, according to
The physiological data and default algorithm calculate the current emotion number of the user
Value Z, and according to the current emotion numerical value Z of the user and emotion numerical value X of selection
Another song is picked out from the musical database, and the information of the music is sent out
Give the client.
Compared to prior art, music commending system of the invention is by obtaining user
Emotional change after the music of recommendation is heard carrys out the music that personalized adjustment is recommended,
Improve the experience effect of user.
Brief description of the drawings
Fig. 1 is the running environment signal of the preferred embodiment of music commending system of the present invention
Figure.
Fig. 2 is the functional block diagram of the preferred embodiment of music commending system of the present invention.
Fig. 3 is the flow chart for the preferred embodiment that music of the present invention recommends method.
Main element symbol description
Following embodiment will further illustrate the present invention with reference to above-mentioned accompanying drawing.
Embodiment
As shown in fig.1, being the operation of the preferred embodiment of music commending system of the present invention
Environment schematic.The music commending system 10 is installed on client 1 and server 2
In.The server 2 communicates with least one client 1 (one is only drawn in figure)
Connection.The client 1 also includes, but not limited to first communication device 11, first
Storage device 12, first processor 13, input unit 14, playing device 15 and life
Manage arrangement for detecting 16.The server 2 also includes, but not limited to secondary communication device
21st, the second storage device 22, second processor 23 and musical database 220.
The client 1 and the server 2 by the first communication device 11 and
Secondary communication device 21 is communicated to connect.The first communication device 11 and second communicates
Device 21 can be that wireless network card, GPRS module etc. can realize the dress of radio communication
Put or network interface card etc. can realize the device of wire communication.
The storage device 22 of first storage device 12 and second is used for storage peace respectively
Programmed instruction section loaded on each program in client 1 and server 2 is provided with data
Material, it can be the internal storage devices such as internal memory or smart media card (Smart
Media Card), safe digital card (Secure Digital Card), flash
The External memory equipments such as device card (Flash Card).
The first processor 13 and second processor 23 are respectively used to execution and are installed on
The programmed instruction section of client 1 and the program in server 2 and each device is controlled to hold
The corresponding operation of row.
The input unit 14 is used for the input behaviour for receiving the user of the client 1
Make, such as input emotion numerical value, selection music.The input unit 14 can be
Touch screen or other input units, such as keyboard.The playing device 15
For playing music.
The physiology arrangement for detecting 16 is used for the life for detecting the user of the client 1
Manage data.The physiological data can be heartbeat, pulse, refer in the data such as temperature one
It is individual or multiple.In one embodiment, the physiology arrangement for detecting 16 can be located at described
In client 1, now, the physiology arrangement for detecting 16 can be pressure sensor, temperature
Spend sensor etc., the client 1 can be have detecting user's physiological data and
The Wearable of the function of music is played, such as intelligent watch, Intelligent bracelet.
In another embodiment, the physiology arrangement for detecting 16 may be alternatively located at the client 1 it
Outside, for example described physiology arrangement for detecting 16 is connected with the client 1 by radio communication
Connect.Now, the physiology arrangement for detecting 16 can have detecting user's physiology number
According to the Wearable of function, such as intelligent watch, Intelligent bracelet.The client
End 1 can be the electronic installation of music playing function, such as smart mobile phone, tablet personal computer
Deng.
The emotion numerical value for each music that is stored with the musical database 220.The sound
Pleasure can be stored in the first storage device 12 of the client 1, be stored in
In second storage device 22 of the server 2, one and the service are stored in
In end 2 or other connected electronic installations of client 1.In the present embodiment, it is described
Musical database 220 is stored in the second storage device 22 of the server 2.Another
In one embodiment, what the musical database 220 was stored in the client 1 first deposits
In storage device 12.In another embodiment, the musical database 220 can also be stored
In service end 2 described in Yu Yiyu or other connected electronic installations of client 1.
The musical database 220 obtains the emotion number of each music as follows
Value：From the various sound characteristics of extraction of music, determined according to existing statistical method
Model parameter corresponding to each sound characteristic, then according to each model parameter calculation
The emotion numerical value of the music.The one or more emotion numerical value models of each affective style correspondence
Enclose.Such as emotion numerical value is when X1 is between X2, and its corresponding affective style is happy.
Emotion numerical value is when X3 is between X4, and its corresponding affective style can also be happy.
In client 1, the music commending system 10 is used to connect by input unit 14
The selected emotion numerical value X of user for receiving the client 1 (uses X in this specification
Represent the selected emotion numerical value of user), and selected emotion numerical value X is sent
To the server 2, and when receiving the music information that the server 2 is sent,
Obtained according to music information and play corresponding music.The music commending system 10 is also
User for detecting the client 1 by physiology arrangement for detecting 16 is listening to institute
The physiological data after music is stated, and the physiological data detected is sent to the service
Device 2.In the server 2, the music commending system 10 is used to receive visitor
During the selected emotion numerical value X of the user at family end 1, according to default rule from described
A first emotion numerical value is picked out in musical database 220 closest to X music, and by institute
The information for stating music is sent to the client 1.The music commending system 10 is additionally operable to
When receiving the physiological data of user of client 1, according to the physiological data with
And default algorithm calculates the current emotion numerical value Z of the user (in this specification
Detected emotion numerical value is represented with Z), and according to the current emotion numerical value Z of user
And the emotion numerical value X of selection picks out another first sound from the musical database 220
It is happy, and the information of the music is sent to the client 1.
As shown in fig.2, being the function of the preferred embodiment of music commending system of the present invention
Module map.The music commending system 10 can be divided into the first receiving module 101,
Second receiving module 102, recommending module 103, playing module 104, detecting module 105
And adjusting module 106.In the present embodiment, first receiving module 101, broadcast
Amplification module 104 and detecting module 105 are applied in the client 1.Described second connects
Receive module 102, recommending module 103 and adjusting module 106 and be applied to the server 2
In.In another embodiment, if the musical database 220 is stored in client 1,
Then first receiving module 101, the second receiving module 102, recommending module 103, broadcast
Amplification module 104, detecting module 105 and adjusting module 106 are run in client 1.
Module alleged by the present invention is the series of computation machine program for referring to complete specific function
Section, than program more suitable for describing the implementation procedure of the music commending system 10, with
It is lower that the flow chart for combining Fig. 3 is described into the concrete function of modules.
As shown in fig.3, being the flow for the preferred embodiment that music of the present invention recommends method
Figure.In the present embodiment, according to different demands, the step in flow chart shown in Fig. 3
Rapid execution sequence can change, and some steps can be omitted.
Step S31, the first receiving module 101 receives described by the input unit 14
The selected emotion numerical value X of user of client 1, and filled by the described first communication
Put 11 and emotion numerical value X is sent to the server 2.First receiving module 101
As performed by the client 1.In the present embodiment, the input unit 14 is touch-control
Screen.The user of the client 1 inputs emotion numerical value X by the input unit 14.
In other embodiments, the input unit 14 can also be microphone.The client
The user at end 1 inputs emotion numerical value X by the input unit 14, for example, say numeral.
Step S32, the second receiving module 102 receives described by secondary communication device 21
The selected emotion numerical value X of user for the client 1 that client 1 is sent.Described
Two receiving modules 102 are as performed by the server 2.
Step S33, recommending module 103 is according to default rule from the musical database
A first emotion numerical value is picked out in 220 closest to X music, and by the information of the music
The client 1 is sent to by the secondary communication device 21.
In the present embodiment, the default rule is first from the musical database 220
In pick out the difference of emotion numerical value and specified emotion numerical value (such as X) within the specific limits
First or many songs, then random from first or many songs to pick out one first
Music.
In another embodiment, the default rule is first from the musical database
The difference of emotion numerical value and specified emotion numerical value (such as X) is picked out in 220 in certain model
Interior first or many songs are enclosed, then broadcasting is picked out from first or many songs
The minimum a piece of music of number of times.Now, storage is also needed in the musical database 220
The played total degree or total in preset time (such as three days) of each music
Number of times.
In another embodiment, the default rule is first from the musical database
The difference of emotion numerical value and specified emotion numerical value (such as X) is picked out in 220 in certain model
Interior first or many songs are enclosed, then being removed from first or many songs should
The music that user does not like, then pick out a piece of music at random from remaining music.
In another embodiment, the default rule is from the musical database 220
In pick out emotion numerical value and specified emotion numerical value (such as X) closest to a piece of music.
Step S34, playing module 104 receives described by the first communication device 11
The information of music transmitted by server 2, and according to the acquisition of information of the music sound
It is happy, and the music is played by the playing device 15.The music can be stored in
In the first storage device 12 of the client 1, the server 2 is stored in
The second storage device 22 in, be stored in one and the service end 2 or client
In the connected another electronic installation in end 1.
Step S35, detecting module 105 is detected described by the physiology arrangement for detecting 16
Physiological data of the user of client 1 after the music is listened to, and will detect
Physiological data is sent to the server 2 by the first communication device 11.
It should be noted that the detecting module 105 is the use in the client 1
Person listen to the music reach to a certain degree (such as music to 2/3rds,
Or music is complete or music 2 minutes) when, detectd by the physiology
Survey the physiological data that device 16 detects the user of the client 1.The physiological data
It can be heartbeat, pulse, refer to one or more of data such as temperature.
Step S36, adjusting module 106 receives described by the secondary communication device 21
The physiological data that client 1 is sent, and according to the physiological data and default algorithm meter
Calculate the current emotion numerical value Z of the user of the client 1.The default calculation
Method can estimate Arousal-Valence algorithm.
Step S37, adjusting module 106 is current according to the user's of the client 1
Emotion numerical value Z and the emotion numerical value X of selection are selected from the musical database 220
Go out another song, and the information of the music is sent out by the secondary communication device 21
Give the client 1.
The adjusting module 106 is as follows according to the user of the client 1
Current emotion numerical value Z and selection emotion numerical value X from the musical database
Another song is picked out in 220：According to the current emotion numerical value Z of user and choosing
The emotion numerical value X selected calculates offset Y, the Y=X-Z；And according to default rule
Then picked out from the musical database 220 a first emotion numerical value closest to X+Y (
That is 2*X-Z) music.
Step S38, playing module 104 receives described by the first communication device 11
The information of music transmitted by server 2, and according to the acquisition of information of the music sound
It is happy, and the music is played by the playing device 15, flow terminates.
It should be noted that in another embodiment, it is next to further recommend
Song, then need return to step S35.
It should be noted last that, technology of the above example only to illustrate the present invention
Scheme and it is unrestricted, it will be understood by those within the art that, can be to this hair
Bright technical scheme is modified or equivalent substitution, without departing from technical solution of the present invention
Spirit and scope.
Claims (15)
1. a kind of music commending system, applied in server, the server with least
One client and a musical database are connected, and are stored in the musical database
There is the emotion numerical information of each music, it is characterised in that the system includes：
Receiving module, the user for receiving the client from client is selected
Emotion numerical value X；
Recommending module, for being selected according to default rule from the musical database
Go out a first emotion numerical value closest to X music, and the information of the music is sent to institute
State client.
2. music commending system as claimed in claim 1, it is characterised in that this is
System also includes：
Adjusting module, the user for receiving the client from the client exists
The physiological data after the music is listened to, according to the physiological data and default calculation
Method calculates the current emotion numerical value Z of the user, and current according to user
Emotion numerical value Z and the emotion numerical value X of selection are picked out from the musical database
Another song, and the information of the music is sent to the client.
3. music commending system as claimed in claim 2, it is characterised in that described
Adjusting module is as follows according to the current emotion numerical value Z of user and selection
Emotion numerical value X another song is picked out from the musical database：
Calculated according to the current emotion numerical value Z of the user and emotion numerical value X of selection
Go out offset Y, wherein Y=X-Z；And
A first emotion numerical value is picked out from the musical database according to default rule
Closest to X+Y=2*X-Z music.
4. the music commending system as described in claims 1 to 3, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, and from this one it is first or
A piece of music is picked out in many songs at random.
5. the music commending system as described in claims 1 to 3, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, then from this one it is first or
The minimum a piece of music of broadcasting time is picked out in many songs.
6. the music commending system as described in claims 1 to 3, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, then from a head
Or remove the music that the user does not like in many songs, then from remaining music
In pick out a piece of music at random.
7. a kind of music recommends method, applied in server, the server with least
One client and a musical database are connected, and are stored in the musical database
There is the emotion numerical information of each music, it is characterised in that this method includes：
Receiving step, the selected emotion of user for receiving the client from client
Numerical value X；
Recommendation step, one is picked out according to default rule from the musical database
The information of the music and is sent to the visitor by first emotion numerical value closest to X music
Family end.
8. music as claimed in claim 7 recommends method, it is characterised in that the party
Method also includes：
Set-up procedure, the user for receiving the client from the client is listening to
Physiological data after the music, according to the physiological data and default algorithm meter
The current emotion numerical value Z of the user is calculated, and according to the current emotion of user
Numerical value Z and the emotion numerical value X of selection pick out another from the musical database
Song, and the information of the music is sent to the client.
9. music as claimed in claim 8 recommends method, it is characterised in that described
Set-up procedure is as follows according to the current emotion numerical value Z of user and selection
Emotion numerical value X another song is picked out from the musical database：
Calculated according to the current emotion numerical value Z of the user and emotion numerical value X of selection
Go out offset Y, wherein Y=X-Z；And
A first emotion numerical value is picked out from the musical database according to default rule
Closest to X+Y=2*X-Z music.
10. the music as described in claim 7 to 9 recommends method, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, and from this one it is first or
A piece of music is picked out in many songs at random.
11. the music as described in claim 7 to 9 recommends method, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, then from this one it is first or
The minimum a piece of music of broadcasting time is picked out in many songs.
12. the music as described in claim 7 to 9 recommends method, it is characterised in that
The default rule is that emotion numerical value is picked out from the musical database with specifying
The first or many songs of the difference of emotion numerical value within the specific limits, then from a head
Or remove the music that the user does not like in many songs, then from remaining music
In pick out a piece of music at random.
13. a kind of music recommends method, applied in client, the client takes with one
Business device is connected, the sound of the emotion numerical information of the server and each music that is stored with
Happy database is connected, and the client includes input unit and playing device, and it is special
Levy and be, this method includes：
Receiving step, the user for receiving the client by input unit is selected
Emotion numerical value X, and the emotion numerical value X is sent to the server；
Step is played, the server is received from the music data from the server
According to the information of the emotion numerical value X music selected in storehouse, according to the music
Acquisition of information music, and the music is played by the playing device.
14. music as claimed in claim 13 recommends method, it is characterised in that institute
Stating client also includes physiology arrangement for detecting, and this method also includes：
Step is detected, the use of the client is detected by the physiology arrangement for detecting
Physiological data of the person after the music is listened to, and the physiological data detected is sent out
It is sent to the server.
15. music as claimed in claim 14 recommends method, it is characterised in that institute
State the broadcasting step and also receive the server from the music number from the server
According to the music selected in storehouse according to the emotion numerical value X and the physiological data
Information, is played according to the acquisition of information music of the music, and by the playing device
The music.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610235644.8A CN107301185B (en) | 2016-04-15 | 2016-04-15 | Music recommendation system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610235644.8A CN107301185B (en) | 2016-04-15 | 2016-04-15 | Music recommendation system and method |
Publications (2)
| Publication Number | Publication Date |
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| CN107301185A true CN107301185A (en) | 2017-10-27 |
| CN107301185B CN107301185B (en) | 2021-01-12 |
Family
ID=60137147
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610235644.8A Active CN107301185B (en) | 2016-04-15 | 2016-04-15 | Music recommendation system and method |
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| CN110555128A (en) * | 2018-05-31 | 2019-12-10 | 蔚来汽车有限公司 | music recommendation playing method and vehicle-mounted infotainment system |
| CN111430006A (en) * | 2020-03-18 | 2020-07-17 | 深圳市人工智能与机器人研究院 | Emotion adjusting method and device, computer equipment and storage medium |
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| CN107301185B (en) | 2021-01-12 |
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