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: 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: Non-fungible token (NFT) platforms in accordance with various embodiments of the invention are described. In an embodiment of the NFT platform includes generating an instant NFT that includes data, at least one record, and a first timestamp, where the instant NFT is privately maintained and not publicly accessible; determine a modification to the at least one record associated with the instant NFT to generate several records associated with the instant NFT, where the modification is indicative of a transaction associated with the instant NFT; protect the instant NFT and the modification to the at least one record associated with the instant NFT, where the modification to the at least one record is associated with a second timestamp; detect an indication to mint the instant NFT as an NFT; and mint the instant NFT as an NFT on a public blockchain.

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: Visual effects schedules are applied to audiovisual performances with differing visual effects applied in correspondence with differing elements of musical structure. Segmentation techniques applied to one or more audio tracks (e.g., vocal or backing tracks) are used to compute some of the components of the musical structure. In some cases, applied visual effects schedules are mood-denominated and may be selected by a performer as a component of his or her visual expression or determined from an audiovisual performance using machine learning techniques.

Abstract: Non-fungible token (NFT) platforms in accordance with various embodiments of the invention are described. In an embodiment of the NFT platform includes generating an instant NFT that includes data, at least one record, and a first timestamp, where the instant NFT is privately maintained and not publicly accessible; determine a modification to the at least one record associated with the instant NFT to generate several records associated with the instant NFT, where the modification is indicative of a transaction associated with the instant NFT; protect the instant NFT and the modification to the at least one record associated with the instant NFT, where the modification to the at least one record is associated with a second timestamp; detect an indication to mint the instant NFT as an NFT; and mint the instant NFT as an NFT on a public blockchain.

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: User interface techniques provide user vocalists with mechanisms for solo audiovisual capture and for seeding subsequent performances by other users (e.g., joiners). Audiovisual capture may be against a full-length work or seed spanning much or all of a pre-existing audio (or audiovisual) work and in some cases may mix, 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 or short segment 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 short seed or short segment. Computational techniques are described that allow a system to automatically identify suitable short seeds or short segments.

Abstract: Non-fungible token (NFT) platforms in accordance with various embodiments of the invention are described. In an embodiment of the NFT platform includes a first personal profile record associated with a first entity and a second personal profile record associated with a second entity; accessing the first personal profile record; accessing the second personal profile record; determining that the first entity and the second entity are the same; determining that there is a conflict associated between a first element associated with the first personal profile record and a second element associated with the second personal profile record, where the determination is based at least in part on a first policy; determine an action based on the determination of conflict and at least in part on a second policy; and initiate the determined action.

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: Embodiments described provide a method for mixing vocal performances from different vocalists. A vocal score temporally synchronized with a corresponding backing track and lyrics is retrieved via a communications interface of a portable computing device. A first vocal performance of a user is captured, via a microphone interface of the portable computing device, and in correspondence with the backing track. An open call indication for soliciting, from a second vocalist, a second vocal performance to be mixed for audible rendering with the first vocal performance is transmitted. A mix to one of the user and the second vocalist is provided by selecting, based on to whom the mix is provided, the mix from alternative mixes each having a different prominent vocal performance.

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: Non-fungible evolution platforms in accordance with various embodiments of the invention are described. In an embodiment, an NFT evolution platform, includes: a network interface; memory; and a processor, the processor configured to: generate an NFT that includes several layers, where each layer includes content, provide access to a first set of layers of the several layers of the NFT, detect a trigger event, and provide access to a different second set of layers of the several layers of the NFT.

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: 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: 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: 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: 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: Visual effects schedules are applied to audiovisual performances with differing visual effects applied in correspondence with differing elements of musical structure. Segmentation techniques applied to one or more audio tracks (e.g., vocal or backing tracks) are used to compute some of the components of the musical structure. In some cases, applied visual effects schedules are mood-denominated and may be selected by a performer as a component of his or her visual expression or determined from an audiovisual performance using machine learning techniques.