MUSIC SEARCHING SYSTEM AND METHOD

• US 20090254554A1
• Filed: 03/03/2009
• Published: 10/08/2009
• Est. Priority Date: 04/21/2000
• Status: Abandoned Application

• Current Assignee: Gracenote, Inc. (RR Donnelley & Sons Company)
• Original Assignee: Musicip Corporation (AmpliFIND Music Services, Inc.)
• Inventors: Hicken, Wendell T.
• Application Number:
  US12/397,153
• Publication Number:
  US 20090254554A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/634 Query by example, e.g. query by humming
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G11B 2220/2545 CDs
• CPC Class Codes: G11B 2220/2562 DVDs [digital versatile discs]; Digital video discs; MMCDs; HDCDs
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: G11B 27/11 by using information not detectable on the record carrier
• CPC Class Codes: G11B 27/34 Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D

Abstract

A music searching system and method conducting a metadata search of music based on an entered search term. Music identified from the metadata search is used as seed music to identify other acoustically complementing music. Acoustic analysis data of the seed music is compared against acoustic analysis data of potential candidates for determining whether they are acoustically complementing music. The acoustically complementing music is then displayed to the user for listening, downloading, or purchase.

Claims

1. An audio searching method comprising:

receiving a search key;

performing a metadata search based on the search key;

identifying a first audio piece or group responsive to the metadata search; and

automatically invoking a complementing music search based on the identified first audio piece or group, the complementing music search including;

retrieving acoustic analysis data for the identified audio piece or group;

identifying a second audio piece, album, or artist that, based on the retrieved acoustic analysis data, is determined to acoustically complement the first audio piece or group; and

displaying information on the identified second audio piece, album or artist.

2. The method of claim 1, wherein the audio group is a particular artist or album.

3. The method of claim 1 further comprising generating a digital content program including the second audio piece.

4. The method of claim 1 further comprising delivering the second audio piece to an end device.

5. The method of claim 1, wherein the search key includes alphanumeric characters, and the identifying the first audio piece or group includes searching metadata associated with the first audio piece or group for the alphanumeric characters.

6. The method of claim 1, wherein the search key is an audio fingerprint, and the identifying the first audio piece or group includes searching metadata associated with the first audio piece or group for the audio fingerprint.

7. The method of claim 1, wherein the second audio piece, album, or artist has associated metadata that does not contain the search key.

8. The method of claim 1, wherein the acoustic analysis data provides numerical measurements for a plurality of predetermined acoustic attributes based on an automatic processing of audio signals of the first audio piece.

9. An audio searching method comprising:

receiving a search key for a first audio piece or group; and

recommending a plurality of audio pieces or groups that acoustically complement the first audio piece or group, wherein at least a portion of the recommended audio pieces or groups have associated metadata that does not contain the search key.

10. An audio searching server comprising:

a processor; and

a memory operably coupled to the processor and storing program instructions therein, the processor being operable to execute the program instructions, the program instructions including;

receiving a search key;

performing a metadata search based on the search key;

identifying a first audio piece or group responsive to the metadata search; and

automatically invoking a complementing music search based on the identified first audio piece or group, the complementing music search including;

retrieving acoustic analysis data for the identified audio piece or group;

identifying a second audio piece, album, or artist that, based on the retrieved acoustic analysis data, is determined to acoustically complement the first audio piece or group; and

displaying information on the identified second audio piece, album or artist.

11. The server of claim 10, wherein the audio group is a particular artist or album.

12. The server of claim 10 further comprising generating a digital content program including the second audio piece.

13. The server of claim 10 further comprising delivering the second audio piece to an end device.

14. The server of claim 10, wherein the search key includes alphanumeric characters, and the identifying the first audio piece or group includes searching metadata associated with the first audio piece or group for the alphanumeric characters.

15. The server of claim 10, wherein the search key is an audio fingerprint, and the identifying the first audio piece or group includes searching metadata associated with the first audio piece or group for the audio fingerprint.

16. The server of claim 10, wherein the second audio piece, album, or artist has associated metadata that does not contain the search key.

17. The server of claim 10, wherein the acoustic analysis data provides numerical measurements for a plurality of predetermined acoustic attributes based on an automatic processing of audio signals of the first audio piece.