Synthetic musical instrument with performance-and/or skill-adaptive score tempo
    1.
    发明授权
    Synthetic musical instrument with performance-and/or skill-adaptive score tempo 有权
    具有演奏和/或技能自适应乐谱的合成乐器

    公开(公告)号:US09082380B1

    公开(公告)日:2015-07-14

    申请号:US13664939

    申请日:2012-10-31

    Applicant: Smule, Inc.

    Abstract: 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.

    Abstract translation: 尽管移动设备平台和应用程序的实际限制,真正迷人的乐器可能会以允许音乐表现性能被实时捕获和渲染的方式进行合成。 在某些情况下,合成乐器可以提供游戏,分级或教学模式,其中相对于乐谱评估用户表现的一个或多个质量。 通过不断适应这种模式,实际的演奏特征,在某些情况下,对于给定用户音乐家的技能水平,用户与合成乐器的交互可以更具吸引力,并且可以捕获用户的兴趣和经济机会(例如, -app购买和/或社交网络)在一般较长的时间段内。

    Automatic estimation of latency for synchronization of recordings in vocal capture applications
    3.
    发明授权
    Automatic estimation of latency for synchronization of recordings in vocal capture applications 有权
    自动估计声乐捕捉应用程序记录同步的延迟

    公开(公告)号:US09412390B1

    公开(公告)日:2016-08-09

    申请号:US14216136

    申请日:2014-03-17

    Applicant: Smule, Inc.

    Abstract: 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.

    Abstract translation: 不同设备(例如,不同品牌,型号,年份等的设备)的延迟可能会发生显着变化,数十毫秒可能会影响人们对性能的滞后和主导组件的感知。 因此,在各种各样的设备上使用统一的延迟估计不可能提供良好的结果,并且手动估计各种设备的往返延迟是昂贵的,并且将不断地需要针对新的设备更新。 相反,已经开发了一种系统,用于通过使用记录的音频的反馈记录和分析来自动估计通过音频子系统的延迟。

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