Abstract: Disclosed herein are computer-implemented method, system, and computer-readable storage-medium embodiments for implementing user-generated templates for segmented multimedia performances. An embodiment includes at least one computer processor configured to transmit a first version of a content instance and corresponding metadata. The first version of the content instance may include a plurality of structural elements, with at least one structural element corresponding to at least part of the metadata. The first content instance may be transformed by a rendering engine triggered by the at least one computer processor.

Abstract: Coordinated audio and video filter pairs are applied to enhance artistic and emotional content of audiovisual performances. Such filter pairs, when applied in audio and video processing pipelines of an audiovisual application hosted on a portable computing device (such as a mobile phone or media player, a computing pad or tablet, a game controller or a personal digital assistant or book reader) can allow user selection of effects that enhance both audio and video coordinated therewith. Coordinated audio and video are captured, filtered and rendered at the portable computing device using camera and microphone interfaces, using digital signal processing software executable on a processor and using storage, speaker and display devices of, or interoperable with, the device. By providing audiovisual capture and personalization on an intimate handheld device, social interactions and postings of a type made popular by modern social networking platforms can now be extended to audiovisual content.

Abstract: User interface techniques provide user vocalists with mechanisms for seeding subsequent performances by other users (e.g., joiners). A seed may be a full-length seed spanning much or all of a pre-existing audio (or audiovisual) work and mixing, to seed further contributions of one or more joiners, a user's captured media content for at least some portions of the audio (or audiovisual) work. A short seed may span less than all (and in some cases, much less than all) of the audio (or audiovisual) work. For example, a verse, chorus, refrain, hook or other limited “chunk” of an audio (or audiovisual) work may constitute a seed. A seeding user's call invites other users to join the full-length or short-form seed by singing along, singing a particular vocal part or musical section, singing harmony or other duet part, rapping, talking, clapping, recording video, adding a video clip from camera roll, etc.

Abstract: Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.

Abstract: Vocal audio of a user together with performance synchronized video is captured and coordinated with audiovisual contributions of other users to form composite duet-style or glee club-style or window-paned music video-style audiovisual performances. In some cases, the vocal performances of individual users are captured (together with performance synchronized video) on mobile devices, television-type display and/or set-top box equipment in the context of karaoke-style presentations of lyrics in correspondence with audible renderings of a backing track. Contributions of multiple vocalists are coordinated and mixed in a manner that selects for presentation, at any given time along a given performance timeline, performance synchronized video of one or more of the contributors. Selections are in accord with a visual progression that codes a sequence of visual layouts in correspondence with other coded aspects of a performance score such as pitch tracks, backing audio, lyrics, sections and/or vocal parts.

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: Captured vocals may be automatically transformed using advanced digital signal processing techniques that provide captivating applications, and even purpose-built devices, in which mere novice user-musicians may generate, audibly render and share musical performances. In some cases, the automated transformations allow spoken vocals to be segmented, arranged, temporally aligned with a target rhythm, meter or accompanying backing tracks and pitch corrected in accord with a score or note sequence. Speech-to-song music applications are one such example. In some cases, spoken vocals may be transformed in accord with musical genres such as rap using automated segmentation and temporal alignment techniques, often without pitch correction. Such applications, which may employ different signal processing and different automated transformations, may nonetheless be understood as speech-to-rap variations on the theme.

Abstract: Embodiments described herein relate generally to systems comprising a display device, a display device-coupled computing platform, a mobile device in communication with the computing platform, and a content server in which methods and techniques of capture and/or processing of audiovisual performances are described and, in particular, description of techniques suitable for use in connection with display device connected computing platforms for rendering vocal performance captured by a handheld computing device.

Abstract: Despite many practical limitations imposed by mobile device platforms and application execution environments, vocal musical performances may be captured and continuously pitch-corrected for mixing and rendering with backing tracks in ways that create compelling user experiences. Based on the techniques described herein, even mere amateurs are encouraged to share with friends and family or to collaborate and contribute vocal performances as part of virtual “glee clubs.” In some implementations, these interactions are facilitated through social network- and/or eMail-mediated sharing of performances and invitations to join in a group performance. Using uploaded vocals captured at clients such as a mobile device, a content server (or service) can mediate such virtual glee clubs by manipulating and mixing the uploaded vocal performances of multiple contributing vocalists.

Abstract: Techniques have been developed to facilitate the livestreaming of group audiovisual performances. Audiovisual performances including vocal music are captured and coordinated with performances of other users in ways that can create compelling user and listener experiences. For example, in some cases or embodiments, duets with a host performer may be supported in a sing-with-the-artist style audiovisual livestream in which aspiring vocalists request or queue particular songs for a live radio show entertainment format. The developed techniques provide a communications latency-tolerant mechanism for synchronizing vocal performances captured at geographically-separated devices (e.g., at globally-distributed, but network-connected mobile phones or tablets or at audiovisual capture devices geographically separated from a live studio).

Abstract: User interface techniques provide user vocalists with mechanisms for forward and backward traversal of audiovisual content, including pitch cues, waveform- or envelope-type performance timelines, lyrics and/or other temporally-synchronized content at record-time, during edits, and/or in playback. Recapture of selected performance portions, coordination of group parts, and overdubbing may all be facilitated. Direct scrolling to arbitrary points in the performance timeline, lyrics, pitch cues and other temporally-synchronized content allows user to conveniently move through a capture or audiovisual edit session. In some cases, a user vocalist may be guided through the performance timeline, lyrics, pitch cues and other temporally-synchronized content in correspondence with group part information such as in a guided short-form capture for a duet. A scrubber allows user vocalists to conveniently move forward and backward through the temporally-synchronized content.

Abstract: In some examples, a system includes a first portable computing device that audibly renders a backing track, captures and pitch corrects a vocal performance of a first user, and transmits the first user's pitch corrected vocal performance. The system may also include a second portable computing device including a data communications interface that receives the first user's pitch corrected vocal performance, an audio transducer that audibly renders a mix of the backing track and the first user's pitch corrected vocal performance, a display for concurrent presentation of lyrics temporally synchronized with a vocal score and the backing track, a microphone interface that captures a vocal performance of a second user, and pitch correction code executable on the second portable computing device to pitch correct the second user's vocal performance in accord with the vocal score to produce a composite multi-vocal performance.

Abstract: Vocal musical performances may be captured and, in some cases or embodiments, pitch-corrected and/or processed in accord with a user selectable vocal effects schedule for mixing and rendering with backing tracks in ways that create compelling user experiences. In some cases, the vocal performances of individual users are captured on mobile devices in the context of a karaoke-style presentation of lyrics in correspondence with audible renderings of a backing track. Such performances can be pitch-corrected in real-time at the mobile device in accord with pitch correction settings. Vocal effects schedules may also be selectively applied to such performances. In these ways, even amateur user/performers with imperfect pitch are encouraged to take a shot at “stardom” and/or take part in a game play, social network or vocal achievement application architecture that facilitates musical collaboration on a global scale and/or, in some cases or embodiments, to initiate revenue generating in-application transactions.

Abstract: Disclosed herein are computer-implemented method, system, and computer-readable storage-medium embodiments for implementing template-based excerpting and rendering of multimedia performances technologies. An embodiment includes at least one computer processor configured to retrieve a first content instance and corresponding first metadata. The first content instance may include a first plurality of structural elements, with at least one structural element corresponding to at least part of the first metadata. An embodiment may further include selecting a first template comprising a first set of parameters. A parameter of the first set of parameters may be applicable to the at least one structural element. Applicable parameter(s) of the first template may be actively associated with the at least part of the first metadata corresponding to the at least one structural element. The first content instance may be transformed by a rendering engine running on the at least one computer processor.

Abstract: Techniques have been developed to facilitate (1) the capture and pitch correction of vocal performances on handheld or other portable computing devices and (2) the mixing of such pitch-corrected vocal performances with backing tracks for audible rendering on targets that include such portable computing devices and as well as desktops, workstations, gaming stations, even telephony targets. Implementations of the described techniques employ signal processing techniques and allocations of system functionality that are suitable given the generally limited capabilities of such handheld or portable computing devices and that facilitate efficient encoding and communication of the pitch-corrected vocal performances (or precursors or derivatives thereof) via wireless and/or wired bandwidth-limited networks for rendering on portable computing devices or other targets.

Abstract: Vocal musical performances may be captured and continuously pitch-corrected at a mobile device for mixing and rendering with backing tracks in ways that create compelling user experiences. In some cases, the vocal performances of individual users are captured in the context of a karaoke-style presentation of lyrics in correspondence with audible renderings of a backing track. Such performances can be pitch-corrected in real-time at the mobile device in accord with pitch correction settings. In some cases, such pitch correction settings code a particular key or scale for the vocal performance or for portions thereof. In some cases, pitch correction settings include a score-coded melody sequence of note targets supplied with, or for association with, the lyrics and/or backing track. In some cases, pitch correction settings are dynamically variable based on gestures captured at a user interface.

Abstract: Coordinated audio and video filter pairs are applied to enhance artistic and emotional content of audiovisual performances. Such filter pairs, when applied in audio and video processing pipelines of an audiovisual application hosted on a portable computing device (such as a mobile phone or media player, a computing pad or tablet, a game controller or a personal digital assistant or book reader) can allow user selection of effects that enhance both audio and video coordinated therewith. Coordinated audio and video are captured, filtered and rendered at the portable computing device using camera and microphone interfaces, using digital signal processing software executable on a processor and using storage, speaker and display devices of, or interoperable with, the device. By providing audiovisual capture and personalization on an intimate handheld device, social interactions and postings of a type made popular by modern social networking platforms can now be extended to audiovisual content.

Abstract: Audiovisual performances, including vocal music, are captured and coordinated with those of other users in ways that create compelling user experiences. In some cases, the vocal performances of individual users are captured (together with performance synchronized video) on mobile devices, television-type display and/or set-top box equipment in the context of karaoke-style presentations of lyrics in correspondence with audible renderings of a backing track. Contributions of multiple vocalists are coordinated and mixed in a manner that selects for visually prominent presentation performance synchronized video of one or more of the contributors. Prominence of particular performance synchronized video may be based, at least in part, on computationally-defined audio features extracted from (or computed over) captured vocal audio.

Abstract: Embodiments described herein relate generally to systems comprising a display device, a display device-coupled computing platform, a mobile device in communication with the computing platform, and a content server in which methods and techniques of capture and/or processing of audiovisual performances are described and, in particular, description of techniques suitable for use in connection with display device connected computing platforms for rendering vocal performance captured by a handheld computing device.

Abstract: Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.