Amazon Technologies, Inc.

Benjamin Lee Shepherd

Toby Ray Latin-Stoermer

Brandon Scott Durham

Korwin Jon Smith

Piragash Velummylum

James Hollis Wood

Patrick C Teo

Scott Durham

Jason Christopher Hall

Darren Levi Malek

Emily Josephine Butler

Gabriela Ahern

Kintan Dilipkumar Brahmbhatt

Jonathan Beech

Andrew McGoogan

Ralph Cameron Harvey

Robert Richard Morse

Hari Gangadharan

Daren Gill

Peter Van Tuyl Bentley

Christopher Woolf Phillips

Daniel Paul Ryan

Haowei Lu

Joshua Fredrick Lutes

Vijayabaskar Gangadaran

Mallory McManamon

Joe Virgil Fernandez

Jane Meng

Shailesh Srivastava

Sarvesh Chandra Regmi

Vladimir Lazebny

William Jarred Leslie

Xinjie Di

Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.

Generating media recommendations based upon beats per minute

Approaches provide for a voice communications device to control, refine, or otherwise manage the playback of media content in response to instructions, such as spoken instructions. For example, the voice communications device receives input data associated with a command, such as a request to begin media playback. Accounts corresponding to users associated with the command are identified and one or more refinements extracted from the input data are used to filter content, such as from respective content catalogs or via trained models associated with the users. Determined content is generated that includes content from each of the content catalogs or trained models associated with the users. Thereafter, the voice communications device can initiate media playback.

System and method for content playback

Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon the activity of a user. The media recommendation application then identifies one or more media item candidates having a number of beats per minute within a predefined delta of the beats per minute value. The media recommendation application then filters out the media items possessed and information associated with the user to identify a subset of the media item candidates to surface as recommendations.

Speech-controlled searching and browsing for content using speech-controlled devices, or other input-limited devices, is described. A user may audibly indicate to a speech-controlled device whether the user wants to search or browse for content, along with a topic of the content/results to be retrieved. A server, located remotely from the speech-controlled device determines an appropriate endpoint device for displaying results of the requested search or browse. The server also determines an appropriate content source for the requested content, and sends a request for the content to the content source. The server receives search or browse results from the content source and forwards them to the determined endpoint device.

Output of content based on speech-based searching and browsing requests

A computing device can periodically acquire a current track time for a media content item being played. The device can periodically compare the current track time with a respective start time and a respective end time for each line (or segment) in a plurality of lines of text (or segments of text) associated with the media content item. If the device determines that the current track time is between start and end times for a given line of text, then the device can display the given line of text. A user of the device can scroll through the lines of text associated with the media content item. If the user selects a particular line of text, the device can identify a start time for the selected line of text. The device can then play the media content item at the identified start time of the selected line of text.

Navigating media playback using scrollable text

Techniques are described for automatically selecting musical content for playback based on an initial 'seed' of music selected by a user in a way that seamlessly extends the user's listening experience. The initially selected seed music might be, for example, an album or a playlist. Music that follows the seed music is algorithmically selected to match the music selected by the user.

Techniques for selecting musical content for playback

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Issaquah, WA, United States of America

Benjamin Lee Shepherd