Smule, Inc.

Kadenze, Inc.

Artema Labs, Inc

Perry Raymond Cook

Jeannie Yang

John Shimmin

Jeffrey Christopher Smith

Benjamin Hersh

David Adam Steinwedel

Mark T Godfrey

Ge Wang

Tom Lieber

Ari Lazier

Spencer Salazar

Turner Evan Kirk

Parag P Chordia

Prerna Gupta

Nicholas Michael Kruge

Rebecca A Fiebrink

Anton Holmberg

Jon Moldover

Mattias Ljungstrom

Alexander Rae

Randal J Leistikow

Ka Yee Chan

Dean Schaffer

Kevin Sung

Bona Kim

Gregory C Thompson

Ajay Kapur

Ian S Simon

Andrea Slobodien

Yuning Woo

Stefan Sullivan

Alexander M D Rae

Mattias Ljungström

Jordan Hochenbaum

Wang Liang

Paul T Chi

Wei Zhou

Jingxi Li

Owen Skipper Vallis

Bjorn Markus Jakobsson

Jeff D Smith

Stephen Charles Gerber

Ran Xie

Charles Espeleta

Oscar Corral

Jonathan Moody

Nick Kruge

Colin Bennett Honigman

Chad A Wagner

Eric Christopher Heep

Michael Berger

Rebecca Anne Fiebrink

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.

Methods for evolution of tokenized artwork, content evolution techniques, non-fungible token peeling, user-specific evolution spawning and peeling, and graphical user interface for complex token development and simulation

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.

Audio-visual effects system for augmentation of captured performance based on content thereof

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 applying a template that results in transforming the first content instance. The first content instance may include a plurality of structural elements. The first content instance may be transformed by a rendering engine running on the at least one computer processor and/or transmitted to a content-playback device. An embodiment of transforming the first content instance includes trimming the content instance based on requirements provided by social media platforms.

Template-based excerpting and rendering of multimedia performance

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.

Wireless handheld audio capture device and multi-vocalist method for audiovisual media application

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.

Coordinating and mixing vocals captured from geographically distributed performers

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).

Audiovisual collaboration method with latency management for wide-area broadcast

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.

Automatic conversion of speech into song, rap or other audible expression having target meter or rhythm

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. The resulting group performance, whether full-length or just a chunk, may be posted, livestreamed, or otherwise disseminated in a social network.

Audiovisual collaboration system and method with seed/join mechanic

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.

Crowd-sourced technique for pitch track generation

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. The first content instance may be transformed by a rendering engine running on the at least one computer processor and/or transmitted to a content-playback device.

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.

User-generated templates for segmented multimedia performance

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.

Automated generation of coordinated audiovisual work based on content captured from geographically distributed performers

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. After audiovisual capture against the short seed or short segment, a resulting, solo or group, full-length or short-form performance may be posted, livestreamed, or otherwise disseminated in a social network.

Short segment generation for user engagement in vocal capture applications

Audiovisual collaboration system and method with latency management for wide-area broadcast and social media-type user interface mechanics

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.

Social music system and method with continuous, real-time pitch correction of vocal performance and dry vocal capture for subsequent re-rendering based on selectively applicable vocal effect(s) schedule(s)

Growing community of inventors

Jacksonville, OR, United States of America

Perry Raymond Cook