Pandora Media, Inc.

Andreas Ehmann

Erik Michael Schmidt

Fabien Gouyon

Walker Phillips

Maria Cantu Chavez

David H Reiley, Jr

Myra Chachkin

Stephen Hogan

A media playlist is generated in which media items have a tempo matching a target tempo. The content server receives a seed value and a tempo signal from a client device. The tempo signal indicates a target tempo specified by the user. The content server calculates a target tempo range associated with the target tempo and generates a filtered playlist of media items based on the seed value and the target tempo range. The media items in the in the filtered playlist have tempos within the target tempo range. The content server provides the media items in the filtered playlist to the client device.

Selecting songs with a desired tempo

A content server generates media playlists for social events. The content server receives a seed value describing desired characteristics of media to present during a social event, and event parameters describing conditions for selecting media items to generate a media playlist for the social event. The content server selects media items based on the event parameters and the seed value, and uses the selected media items to generate the media playlist for the social event. The media items in the playlist are retrieved from a media database and provided to a media player for presentation at the social event.

Selecting media for a social event according to specified event parameters

A media service server for streaming media items with similar media features receives a plurality of media items, where each media item of the plurality of media item is labeled with one or more media features characterizing the media item. Audio content features from the plurality of media items are extracted. Correlations between the audio content features and the media features are identified. A set of media items to be analyzed is received. For each media item of the set of media items, a set of media features based on the identified correlations between the audio content features and the plurality of media features is estimated. Each estimated media feature is associated with a confidence score. The set of media items with the estimated media features is provided to one or more experts for expert analysis.

Media feature determination for internet-based media streaming

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San Francisco, CA, United States of America

Andreas Ehmann