Music Recommendation system and method

• US 20050038819A1
• Filed: 08/13/2004
• Published: 02/17/2005
• Est. Priority Date: 04/21/2000
• Status: Abandoned Application

• Current Assignee: Musicip Corporation (AmpliFIND Music Services, Inc.)
• Original Assignee: Musicip Corporation (AmpliFIND Music Services, Inc.)
• Inventors: Hicken, Wendell T., Clune, James Edmond III, Campbell, Marc Elroy, Holm, Frode
• Application Number:
  US10/917,865
• Publication Number:
  US 20050038819A1
• 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 16/635 Filtering based on additional data, e.g. user or group profiles
• 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: G06F 16/90324 using system suggestions
• CPC Class Codes: G06Q 30/0631 Item recommendations
• 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
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A music recommendation system receives a user selection of desired music, retrieves analysis data associated with the selected music, and generates a playlist of songs based on the analysis data. The analysis data is generated based on a processing of one or more audio signals associated with the selected music. The analysis data may downloaded from a central server. If the analysis data is not available from the central server, it is generated locally at a user end, and uploaded to the central server. A plurality of user-selectable shuffling mechanisms are provided to allow the order of the songs to be shuffled according to the selected shuffling mechanism. The end user device may also receive recommendation of new music from different providers based on the analysis data of music for which the recommendation is to be based.

Claims

1. An audio recommendation system comprising:

means for processing an audio signal and generating acoustic analysis data in response;

a data store storing the generated acoustic analysis data and associating the data to a particular audio piece;

means for receiving a user selection of a first audio piece;

means for retrieving from the data store first acoustic analysis data associated with the first audio piece;

means for retrieving from the data store second acoustic analysis data associated with a second audio piece;

means for comparing the first acoustic analysis data with the second acoustic analysis data; and

means for recommending the second audio piece based on the comparison.

2. The system of claim 1 further comprising:

second means for processing the audio signal and generating an audio fingerprint in response; and

means for retrieving the first acoustic analysis data based on the audio fingerprint.

3. The system of claim 1, wherein the means for recommending the second audio piece further comprises:

means for generating a playlist including the second audio piece; and

means for displaying the playlist.

4. The system of claim 3 further comprising:

means for providing a plurality of user-selectable shuffling mechanisms;

means for receiving a user selection of a particular shuffling mechanism; and

means for shuffling an order of the playlist based on the user-selected shuffling mechanism.

5. The system of claim 1, wherein the means for recommending the second audio piece further comprises means for linking to a provider of the second audio piece.

6. The system of claim 1 further comprising:

means for generating a group profile for a particular subset of audio pieces selected from a larger set, based on the acoustic analysis data of the audio pieces in the particular subset and the larger set, the group profile identifying a variance of one or more acoustic properties in the particular subset as compared to the larger set.

7. The system of claim 6, wherein the means for calculating performs a weighted distance calculation between the first acoustic analysis data and the second acoustic analysis data based on a group profile generated for the first audio piece.

8. The system of claim 6 further comprising:

means for identifying a first group profile associated with a first subset of audio pieces;

means for calculating a distance between the first group profile and a second group profile associated with a second subset of audio pieces; and

means for recommending the second subset of audio pieces based on the comparison.

9. The system of claim 8, wherein the particular subset of audio pieces are audio pieces in a particular music album.

10. The system of claim 8, wherein the particular subset of audio pieces are audio pieces associated with a particular artist.

20. The device of claim 1 further comprising:

means for retrieving a second acoustic analysis data for the second audio piece;

means for calculating a distance between the first acoustic analysis data and the second acoustic analysis data; and

means for recommending the second audio piece based on the comparison.

11. An audio recommendation system comprising:

means for receiving a user selection of desired music;

means for retrieving analysis data associated with the selected music, the analysis data being generated based on a processing of one or more audio signals associated with the selected music;

means for transmitting the retrieved analysis data to a remote server; and

means for receiving from the remote server a recommendation based on the selected music, the recommendation including a link to the remote server.

12. The system of claim 11, wherein the analysis data is acoustic analysis data of a plurality of acoustic properties of the selected music.

13. The system of claim 11, wherein the analysis data is group profile data for the selected music, the group profile data identifying a variance of one or more acoustic properties in the selected music as compared to the larger set.

14. The system of claim 11, wherein the selected music is one or more individual audio pieces.

15. The system of claim 11, wherein the selected music is a particular music album.

17. The system of claim 11, wherein the recommendation includes one or more audio files maintained at the remote server, and a user selects the link for receiving the one or more audio files.

18. The system of claim 11 further comprising:

a data store storing a plurality of audio files;

means for removing from the recommendation audio files stored in the data store.

16. The system of 11 further comprising:

means for calculating a distance between the analysis data associated with the selected music and a second analysis data associated an audio file available at the remote server; and

means for recommending the audio file based on the calculated distance.

19. In an audio recommendation system including a server maintaining in a central data store an acoustic analysis database of acoustic analysis data for a plurality of audio pieces, an end user device coupled to the server over a data communications network, the end user device comprising:

a first data store storing audio signals for a first audio piece;

a processor coupled to the first data store, the processor executing instructions which cause the processor to process the audio signals and generate a first acoustic analysis data in response;

a second data store coupled to the processor, the second data store storing the first acoustic analysis data; and

means for uploading the first acoustic analysis data to the central data store for adding to the acoustic analysis database, wherein a second audio piece is selected based on the first acoustic analysis data generated for the first audio piece.

21. In an audio recommendation system including a server coupled to an end user device over a data communications network, the server comprising:

a first data store storing an acoustic analysis database of acoustic data for a plurality of audio pieces;

means for receiving a query for first acoustic analysis data associated with a first audio piece;

means for searching the acoustic analysis database for the first acoustic analysis data;

means for transmitting the first acoustic analysis data to the end user device responsive to first search results; and

means for receiving the first acoustic analysis data from the end user device responsive to second search results, the end user device processing audio signals for the first audio piece and generating the first acoustic analysis data in response, wherein a second audio piece is selected based on the first acoustic analysis data.

22. The server of claim 21 further comprising:

a computer-readable medium storing computer instructions for processing audio signals and making recommendations based on the processed audio signals.

23. The server of claim 22, wherein the instructions further include instructions for generating a fingerprint of a particular audio piece.

24. The server of claim 22, wherein the means for searching the acoustic analysis database includes searching the database based on a fingerprint generated for the first audio piece.

25. The server of claim 22, wherein the computer instructions are transmitted to the end user device.

26. The server of claim 22, wherein the instructions, when executed by a processor, causes the processor to retrieve a second acoustic analysis data for the second audio piece, calculate a distance between the first acoustic analysis data and the second acoustic analysis data, and recommend the second audio piece based on the comparison.

27. An audio recommendation system comprising:

means for receiving a user selection of desired music;

means for retrieving analysis data associated with the selected music, the analysis data being generated based on a processing of one or more audio signals associated with the selected music;

means for generating a playlist of songs based on the analysis data;

means for providing a plurality of user-selectable shuffling mechanisms;

means for receiving a user selection of a particular shuffling mechanism; and

means for shuffling an order of the playlist based on the user-selected shuffling mechanism.

28. The system of claim 27, wherein the user-selected shuffling mechanism places the songs in the playlist in an order that maximizes a distance of a measured acoustic property across the songs in the playlist.

29. The system of claim 27, wherein the user-selected shuffling mechanism places the songs in the playlist in an order that minimizes a distance of a measured acoustic property across the songs in the playlist.

30. A music management system for managing musical pieces owned by an end user stored in an end user device, the system comprising:

means for interrogating a central server about a musical piece stored at the end user device;

means for downloading the acoustic analysis data to the end user device if acoustic analysis data is stored at the central server;

means for generating the acoustic analysis data at the end user device if acoustic analysis data is not stored at the central server;

means for storing the generated acoustic analysis data at the end user device; and

means for uploading the generated acoustic analysis data to the central server for use by other end users interrogating the central server about the musical piece.