Abstract: Disclosed herein are system, method, and computer program product aspects for According to some aspects, a computing device (e.g., a server, a cloud-based device, an application-service device, etc.) may identify a characteristic of content received via a recording application on a user device (e.g., a mobile device, a smart device, a computing device, etc.). A type of the user device may be determined based on an identifier received with the content. Based on the type of the user device, an instruction may be sent to the user device that causes a change in an operational state of a component of the user device that is utilized by the recording application. Remediation instructions that remediate the characteristic of the content may be sent to the user device based on an indication of the change in the operation state of the audio component.

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 crowdsourcing latency estimates.

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 crowdsourcing latency estimates.

Abstract: An application that manipulates audio (or audiovisual) content, automated music creation technologies may be employed to generate new musical content using digital signal processing software hosted on handheld and/or server (or cloud-based) compute platforms to intelligently process and combine a set of audio content captured and submitted by users of modern mobile phones or other handheld compute platforms. The user-submitted recordings may contain speech, singing, musical instruments, or a wide variety of other sound sources, and the recordings may optionally be preprocessed by the handheld devices prior to submission.

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 crowdsourcing latency estimates.

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 crowdsourcing latency estimates.

Abstract: An application that manipulates audio (or audiovisual) content, automated music creation technologies may be employed to generate new musical content using digital signal processing software hosted on handheld and/or server (or cloud-based) compute platforms to intelligently process and combine a set of audio content captured and submitted by users of modern mobile phones or other handheld compute platforms. The user-submitted recordings may contain speech, singing, musical instruments, or a wide variety of other sound sources, and the recordings may optionally be preprocessed by the handheld devices prior to submission.

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. Synthetic musical instruments that provide a game, grading or instructional mode are described in which one or more qualities of a user's performance are assessed relative to a musical score. By providing a range of modes (from score-assisted to fully user-expressive), user interactions with synthetic musical instruments are made more engaging and tend to capture user interest over generally longer periods of time. Synthetic musical instruments are described in which force dynamics of user gestures (such as finger contact forces applied to a multi-touch sensitive display or surface and/or the temporal extent and applied pressure of sustained contact thereon) are captured and drive the digital synthesis in ways that enhance expressiveness of user performances.

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. Synthetic musical instruments that provide a game, grading or instructional mode are described in which one or more qualities of a user's performance are assessed relative to a musical score. By providing a range of modes (from score-assisted to fully user-expressive), user interactions with synthetic musical instruments are made more engaging and tend to capture user interest over generally longer periods of time. Synthetic musical instruments are described in which force dynamics of user gestures (such as finger contact forces applied to a multi-touch sensitive display or surface and/or the temporal extent and applied pressure of sustained contact thereon) are captured and drive the digital synthesis in ways that enhance expressiveness of user performances.

Abstract: An application that manipulates audio (or audiovisual) content, automated music creation technologies may be employed to generate new musical content using digital signal processing software hosted on handheld and/or server (or cloud-based) compute platforms to intelligently process and combine a set of audio content captured and submitted by users of modern mobile phones or other handheld compute platforms. The user-submitted recordings may contain speech, singing, musical instruments, or a wide variety of other sound sources, and the recordings may optionally be preprocessed by the handheld devices prior to submission.