Method and system for music information retrieval

• US 20070276733A1
• Filed: 05/14/2007
• Published: 11/29/2007
• Est. Priority Date: 06/23/2004
• Status: Abandoned Application

• Current Assignee: Frank Geshwind, Todd Carter
• Original Assignee: Frank Geshwind, Todd Carter
• Inventors: Geshwind, Frank, Carter, Todd
• Application Number:
  US11/803,675
• Publication Number:
  US 20070276733A1
• Time in Patent Office: Days
• US Class Current: 705/14.490
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

Systems and methods are disclosed for searching or finding music with music, by searching, e.g., for music from a library that has a sound that is similar to a given sound provided as a search query, and to methods and systems for tracking revenue generated by these computer-user interactions, and for promoting music and selling advertising space. These include, inter alia, systems that allow a user to discover unknown music, and systems that allow a user to look for music based directly on queries formed from sounds that the user likes. In some embodiments these queries are comprised of a clip or relatively small segment of a larger media file. A client server system comprising web graphical elements, advertisements and/or other affiliated revenue links, elements in support of the music query and a music player, a database, elements for matching music clips to clips from a library, and elements to present results.

Claims

1. A computer based method for selecting and displaying advertisements, comprising the steps:

receiving an audio clip from a user;

computing musical features of said audio clip;

transmitting said musical features of said audio clip to a server; and

receiving a set of advertisements from said server determined to be relevant in the context of said audio clip by comparing said musical features of said audio clip to musical features stored in a database and associated with a plurality of advertisements stored in said database to find said set of advertisements from said database that is determined to be relevant in the context of said audio clip.

2. The computer based method of claim 1, wherein the step of receiving said audio clip comprises receiving an audio segment of a predetermined size from said user.

3. The computer based method of claim 2, further comprising the step of selecting said audio segment of said predetermined size from a music file by said user.

4. The computer based method of claim 1, wherein the step of receiving said set of advertisements from said server comprises the step of receiving said set of advertisements from said database determined to be relevant in the context of said audio clip by determining near matches between said musical features of said audio clip and said musical features stored in said database and associated with said plurality of advertisements stored in said database.

5. The computer based method of claim 1, wherein said musical features stored in said database comprises at least one of spectral musical features, temporal musical features and Mel-frequency cepstral coefficients (MFCC) features;

and wherein the step of computing comprises computing said at least one of said spectral musical features, said temporal musical features and said MFCC features of said audio clip.

6. The computer based method of claim 1, wherein the step receiving said set of advertisements from said server comprises the step of receiving a set of advertisements from said server determined to be relevant to said audio clip by comparing said musical features of said audio clip to musical features associated with a plurality of advertisements stored in a database using a hash function.

7. The computer based method of claim 1, further comprising the step of receiving a tag descriptive of said audio clip from said user and storing said tag associated with said audio clip in said database.

8. The computer based method of claim 7, further comprising the step of searching said database based on said tag received from said user.

9. A system for selecting and displaying advertisements, comprising:

a client device, associated with a user and connected to a communications network, for receiving an audio clip from said user and computing musical features of said audio clip; and

a server for;

receiving said musical features of said audio clip from said client device over said communications network,

determining a set of advertisements to be relevant in the context of said audio clip by comparing said musical features of said audio clip to musical features stored in a database and associated with a plurality of advertisements stored in said database to find said set of advertisements from said database that is determined to be relevant in the context of said audio clip; and

transmitting said set of advertisements to said client device over said communications network.

10. The system of claim 9, wherein said client device is operable to receive an audio segment of a predetermined size from said user.

11. The system of claim 10, wherein said client device is operable to receive said audio segment of said predetermined size from a music file selected by said user.

12. The system of claim 9, wherein said server is operable to determine said set of advertisements by determining near matches between said musical features of said audio clip and said musical features stored in said database and associated with said plurality of advertisements stored in said database.

13. The system of claim 9, wherein said musical features stored in said database comprises at least one of spectral musical features, temporal musical features and Mel-frequency cepstral coefficients (MFCC) features;

and wherein said client device is operable to compute said at least one of said spectral musical features, said temporal musical features and said MFCC features of said audio clip.

14. The system of claim 9, wherein said server is operable to compare said musical features of said audio clip to musical features associated with a plurality of advertisements stored in a database using a hash function.

15. The system of claim 9, wherein said client device is operable to receive a tag descriptive of said audio clip from said user;

and wherein said server is operable to receive and store said tag associated with said audio clip in said database.

16. The system of claim 15, wherein said server is operable to search said database based on said tag received from said user.

17. A computer medium comprising a code for selecting and displaying advertisements, said code comprising instruction for:

receiving an audio clip from a user;

computing musical features of said audio clip;

transmitting said musical features of said audio clip to a server; and

receiving a set of advertisements from said server determined to be relevant in the context of said audio clip by comparing said musical features of said audio clip to musical features stored in a database and associated with a plurality of advertisements stored in said database to find said set of advertisements from said database that is determined to be relevant in the context of said audio clip.

18. The computer medium of claim 17, wherein said code further comprises instructions for receiving an audio segment of a predetermined size from said user.

19. The computer medium of claim 18, wherein said code further comprises instructions for selecting said audio segment of said predetermined size from a music file by said user.

20. The computer medium of claim 17, wherein said code further comprises instructions for receiving said set of advertisements from said database determined to be relevant in the context of said audio clip by determining near matches between said musical features of said audio clip and said musical features stored in said database and associated with said plurality of advertisements stored in said database.

21. The computer medium of claim 17, wherein said musical features stored in said database comprises at least one of spectral musical features, temporal musical features and Mel-frequency cepstral coefficients (MFCC) features;

and wherein said code further comprises instructions for computing said at least one of said spectral musical features, said temporal musical features and said MFCC features of said audio clip.

22. The computer medium of claim 17, wherein said code further comprises instructions for receiving a set of advertisements from said server determined to be relevant to said audio clip by comparing said musical features of said audio clip to musical features associated with a plurality of advertisements stored in a database using a hash function.

23. The computer medium of claim 17, wherein said code further comprises instructions for receiving a tag descriptive of said audio clip from said user and storing said tag associated with said audio clip in said database.

24. The computer medium of claim 23, wherein said code further comprises instructions for searching said database based on said tag received from said user.