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.

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.

An interactive game designed for learning to play a guitar. A guitar may be connected to a computer or other platform, capable of loading music and displaying notes and chords and other feedback and visual learning aids on a display screen, allowing a user to read music and play along. The goal of the software or interactive game engine is for players to learn how to play a guitar. Users may operate the game in a number of modes with different goals, playing mini-games throughout the levels of the game. The game provides feedback and statistics to help users learn how to play the guitar.

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 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.

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.

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.

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.

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.