Smule, Inc.

Amanda Chaudhary

John Shimmin

David Adam Steinwedel

Randal J Leistikow

Lance Jabr

Jeffrey Christopher Smith

Robert Hamilton

Ari Lazier

Latency on different devices (e.g., devices of differing brand, model, vintage, etc.) can vary significantly and tens of milliseconds can affect human perception of lagging and leading components of a performance. As a result, use of a uniform latency estimate across a wide variety of devices is unlikely to provide good results, and hand-estimating round-trip latency across a wide variety of devices is costly and would constantly need to be updated for new devices. Instead, a system has been developed for crowdsourcing latency estimates.

Crowd-sourced device latency estimation for synchronization of recordings in vocal capture applications

Notwithstanding practical limitations imposed by mobile device platforms and applications, truly captivating musical instruments may be synthesized in ways that allow musically expressive performances to be captured and rendered in real-time. In some cases, synthetic musical instruments can provide a game, grading or instructional mode in which one or more qualities of a user's performance are assessed relative to a musical score. By constantly adapting to such modes to actual performance characteristics and, in some cases, to the level of a given user musician's skill, user interactions with synthetic musical instruments can be made more engaging and may capture user interest and economic opportunities (e.g., for in-app purchase and/or social networking) over generally longer periods of time.

Synthetic musical instrument with performance- and/or skill-adaptive score tempo

Latency on different devices (e.g., devices of differing brand, model, vintage, etc.) can vary significantly and tens of milliseconds can affect human perception of lagging and leading components of a performance. As a result, use of a uniform latency estimate across a wide variety of devices is unlikely to provide good results, and hand-estimating round-trip latency across a wide variety of devices is costly and would constantly need to be updated for new devices. Instead, a system has been developed for automatically estimating latency through audio subsystems using feedback recording and analysis of recorded audio.

Automatic estimation of latency for synchronization of recordings in vocal capture applications

Synthetic musical instrument with performance-and/or skill-adaptive score tempo

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San Francisco, CA, United States of America

Amanda Chaudhary