System and method for determining genre of audio

• US 20060101985A1
• Filed: 11/12/2004
• Published: 05/18/2006
• Est. Priority Date: 11/12/2004
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Inventors: Decuir, John David
• Granted Patent: US 7,297,860 B2
• Time in Patent Office: Days
• US Class Current: 84/615
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G10H 1/0008 Associated control or indicating means
• CPC Class Codes: G10H 2210/036 of musical genre, i.e. analysing the style of musical pieces, usually for selection, filtering or classification
• CPC Class Codes: G10H 2220/005 Non-interactive screen display of musical or status data graphical user interfaces specifically adapted for electrophonic musical instruments G10H2220/091; fingering displays G10H2220/041
• CPC Class Codes: G10H 2250/311 Neural networks for electrophonic musical instruments or musical processing, e.g. for musical recognition or control, automatic composition or improvisation musical analysis G10H2210/031; neural networks G06N3/02

Abstract

Both the beat and genre of music are used to select or generate a dance robot object for display of a robot icon on a computer monitor or for establishing the movements of a three-dimensional robot. The detected genre can define the type of dance performed by the robot. Also, the detected genre can be used to sort music. The genre can be detected using a neural network or by correlating the compressibility of the music to a genre.

Claims

1. A computer-implemented method for detecting and using music genre, comprising:

receiving an audio file representing music;

determining a genre of the music for output thereof based on at least one of;

processing the music using a neural network, and determining a compressibility of the music, the compressibility being correlatable to a music genre; and

based on the genre, undertaking at least one of;

establishing movements of a dance robot based on the genre, and storing the music in a genre-sorted data storage.

2. The method of claim 1, wherein the determining act is undertaken based on the compressibility of the music.

3. The method of claim 1, wherein if the music is relatively incompressible, the detected genre is indicated as being rock music, and if the music is relatively compressible, the detected genre is indicated as being classical music.

4. The method of claim 3, wherein the compressibility is determined using a lossless compression algorithm.

5. The method of claim 1, comprising selecting one of plural dance robot objects based on the genre.

6. The method of claim 1, comprising storing the music based on the genre.

21. The method of claim 1, wherein the robot is a three-dimensional object.

22. The method of claim 1, wherein the robot is a computer icon.

7. A computer system, comprising:

at least one processor receiving data representing music;

the processor executing logic for determining a genre of the music and based thereon establishing movement of a robot associated with the processor.

8. The system of claim 7, wherein the logic includes processing the music using a neural network.

9. The system of claim 7, wherein the logic includes determining a compressibility of the music, and correlating the compressibility to a music genre.

10. The system of claim 7, wherein the logic further includes storing the music in a genre-sorted data storage.

11. The system of claim 9, wherein if the music is relatively incompressible, the detected genre is indicated as being rock music, and if the music is relatively compressible, the detected genre is indicated as being classical music.

23. The system of claim 7, wherein the robot is a three-dimensional object.

24. The system of claim 7, wherein the robot is a computer icon.

12. A computer system, comprising:

at least one processor receiving data representing music;

the processor executing logic for determining a genre of the music and based thereon storing the music in a genre-sorted data storage.

13. The system of claim 12, wherein the logic further comprises displaying a dance robot on a monitor associated with the processor.

14. The system of claim 12, wherein the logic includes processing the music using a neural network.

15. The system of claim 12, wherein the logic includes determining a compressibility of the music, and correlating the compressibility to a music genre.

16. The system of claim 15, wherein if the music is relatively incompressible, the detected genre is indicated as being rock music, and if the music is relatively compressible, the detected genre is indicated as being classical music.

17. A computer system, comprising:

at least one processor receiving data representing music;

means available to the processor for determining a compressibility of the music; and

means available to the processor for correlating the compressibility to a genre.

18. The system of claim 17, comprising means available to the processor for establishing motion of a robot associated with the processor in accordance with the genre.

19. The system of claim 17, comprising means available to the processor for storing the music in a genre-sorted data storage.

25. The system of claim 18, wherein the robot is a three-dimensional object.

26. The system of claim 18, wherein the robot is a computer icon.

20. A computer system, comprising:

at least one processor receiving data representing music;

means available to the processor for processing the music using a neural network to determine a genre of the music; and

at least one of;

means available to the processor for establishing movement of a robot on a monitor associated with the processor in accordance with the genre, and means available to the processor for storing the music in a genre-sorted data storage.