Gabriel Joseph White

US Patent:

8642872, Feb 4, 2014

Filed:

Jun 4, 2008

Appl. No.:

12/132621

Inventors:

Lie Lu - Beijing, CN
Frank Torsten Bernd Seide - Beijing, CN
Gabriel White - San Francisco CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10H 1/00
G10H 1/18

US Classification:

84615, 84602, 84603, 84618, 84649, 84653, 84656

Abstract:

Described is a technology by which a playback list comprising similar songs is automatically built based on automatically detected/generated song attributes, such as by extracting numeric features of each song. The attributes may be downloaded from a remote connection, and/or may be locally generated on the playback device. To build a playlist, a seed song's attributes may be compared against attributes of other songs to determine which other songs are similar to the seed song and thus included in the playlist. Another way to build a playlist is based on similarity of songs to a set of user provided-attributes, such as corresponding to moods or usage modes such as “resting” “reading” “jogging” or “driving” moods/modes. The playlist may be dynamically adjusted based on user interaction with the device, such as when a user skips a song, queues a song, or dequeues a song.

US Patent:

20160267177, Sep 15, 2016

Filed:

May 25, 2016

Appl. No.:

15/164818

Inventors:

- Redmond WA, US
Frank Torsten Bernd Seide - Beijing, CN
Gabriel White - San Francisco CA, US

International Classification:

G06F 17/30

Abstract:

Described is a technology by which a playback list comprising similar songs is automatically built based on automatically detected/generated song attributes, such as by extracting numeric features of each song. The attributes may be downloaded from a remote connection, and/or may be locally generated on the playback device. To build a playlist, a seed song's attributes may be compared against attributes of other songs to determine which other songs are similar to the seed song and thus included in the playlist. Another way to build a playlist is based on similarity of songs to a set of user provided-attributes, such as corresponding to moods or usage modes such as “resting” “reading” “jogging” or “driving” moods/modes. The playlist may be dynamically adjusted based on user interaction with the device, such as when a user skips a song, queues a song, or dequeues a song.

US Patent:

20140149468, May 29, 2014

Filed:

Feb 3, 2014

Appl. No.:

14/171770

Inventors:

- Redmond WA, US
Frank Torsten Bernd Seide - Beijing, CN
Gabriel White - San Francisco CA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 17/30

US Classification:

707803, 707736

Abstract:

Described is a technology by which a playback list comprising similar songs is automatically built based on automatically detected/generated song attributes, such as by extracting numeric features of each song. The attributes may be downloaded from a remote connection, and/or may be locally generated on the playback device. To build a playlist, a seed song's attributes may be compared against attributes of other songs to determine which other songs are similar to the seed song and thus included in the playlist. Another way to build a playlist is based on similarity of songs to a set of user provided-attributes, such as corresponding to moods or usage modes such as “resting” “reading” “jogging” or “driving” moods/modes. The playlist may be dynamically adjusted based on user interaction with the device, such as when a user skips a song, queues a song, or dequeues a song.