A method for adapting auditory biofeedback cues to adjust a user's gait includes receiving a series of respective first signals from each sensor of an integrated sensor system and converting the series of respective first signals into a series of respective second signals. Each respective second signal within the series of respective second signals can be quantized as an audio biofeedback cue and modified so the timing of each respective second signal is aligned to a pre-selected temporal or musical grid. The user's gait is then analyzed as a function of the audio biofeedback cues and the pre-selected temporal or musical grid can be adapted to adjust entrainment of the user's gait.

A social entertainment user interface operating on a wireless networked record session device capable of producing a live video and/or audio stream as if made in a vintage record booth. Record sessions are listened to and/or watched by a plurality of other social entertainment user interfaces operating on other networked listening/watching wireless networked devices. Video and audio filters emulate various altered looks and sounds. Record sessions are streamed live or near-live for other social entertainment user interfaces operating on other networked wireless devices to listen and/or watch, and passively and actively rated to dynamically enable watching of the most preferred record sessions.

In one aspect, provided herein is a device for notating a musical composition. The device, in various implementations, is structured so as to be less laborious to notate, easier to read, and more simple to employ in notating, reading, and/or playing the music of a given composition to be composed and/or played. Accordingly, in its most basic form, the device herein disclosed includes a template, upon which template one or more symbols may be notated, where such notation is configured in a manner that more closely relates the note to be played with the mechanical action needed to be performed so as to play that note, such as on an instrument to be or being played.

A wireless record booth capable of producing a live video and/or audio stream as if made in a vintage record booth. A concatenated video stream is formed by a record booth sessions recorded in each of a plurality of networked listening/watching record booths. Video and audio filters emulate vintage record booth images and sounds. Record booth sessions are streamed live for other networked record booths to listen and/or watch, and passively and actively rated to dynamically create a concatenated video stream of the most preferred record booth sessions.

Exemplary embodiments relate to the application of media effects such as facial mask overlays, to visual data (such as a video or photo). Publicly-available images may be found and mapped to a mask. In the mapping process, a user may type in the name of a celebrity or public figure, and a system may perform a public image search. In some embodiments, candidate images may be filtered in order to remove images unsuitable for use in masks. Typically, only a single forward-facing image is required for mapping. However, multiple images may be used to provide different angles and allow the user to turn their head while the mask is applied. Mask generation may involve: extracting facial features from the image; mapping the facial features to the user's video; blending/recoloring of either or both of the image or the person's face; and applying the mask in real-time/on the fly.

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.

A system and method for generating wireless signals from the physical movement of a person utilizing a movement detection mechanism attached to the person wherein the system allows a person to manipulate the generated wireless signals to selectively control digital responses which may be in the form of sensory-perceivable outputs such as sounds and/or visual effects, for example, through the person's physical movement. Movement sensors attached to the person (e.g., on one foot or both feet) communicate with other system components such as microprocessors, transmitters and/or tactile interface controls, for example, to wirelessly send signal pulses from a person to a computer or mobile device and allow the person wearing the sensors and/or another person to selectively control the dynamics of the digital responses so to create a unique sensory output.

In one aspect, provided herein is a device for notating a musical composition. The device, in various implementations, is structured so as to be less laborious to notate, easier to read, and more simple to employ in notating, reading, and/or playing the music of a given composition to be composed and/or played. Accordingly, in its most basic form, the device herein disclosed includes a template, upon which template one or more symbols may be notated, where such notation is configured in a manner that more closely relates the note to be played with the mechanical action needed to be performed so as to play that note, such as on an instrument to be or being played.

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.

Systems and methods for virtual reality musical experiences are disclosed herein. An example method includes generating a virtual reality avatar of a musician and a virtual reality guitar, receiving input from a first controller that is indicative of a neck hand position of the first controller relative to a virtual neck of the virtual reality guitar, as well as input from a second controller that is indicative of a strumming hand movement performed using the second controller, adjusting a neck hand position of the virtual reality avatar, within a virtual reality display, in response to the neck hand position of the first controller in real-time and a strumming hand action of the virtual reality avatar, within the virtual reality display, in response to the strumming hand action of the second controller in real-time.