Techniques for generating a virtual music experience. The techniques include source separating an arbitrary digital audio input into a plurality of source-separated tracks. Sets of music features are determined from the plurality of source-separated tracks and provided to a video presentation system at a video frame rate of the video presentation system. The providing the sets of music features to the video presentation system causes the video presentation system to animate one or more graphical assets based on the provided sets of music features.

A method comprising: storing a continuous audio composition having plural tracks at least partially overlapping with one another in the temporal domain and having a specific alignment in the temporal domain; obtaining time-varying audio characteristics of an audio recording; identifying at least part of one of the plural tracks that corresponds to the audio recording; using the time-varying audio characteristics of the audio recording to align the audio recording with said at least part of the identified track; and substituting said at least part of the identified track with the audio recording with substantially the same alignment in the temporal domain as said at least part of the identified track.

A method and system for analyzing patterns in the relationships of notes of an input piece of music. The method comprises generating a set of the most frequently occurring note pitches in ascending pitch order that matches an interval pattern, and detecting out-of-key pitches that lie outside of this interval pattern. One or more potential key sequence bifurcations are identified which represent a list of possible key sequences according to forwards and backwards analysis. By finding patterns of repetition in the chordal sequences that may be generated according to these key sequence bifurcations, a key sequence that allows the most frequently recurring chord sequences may be chosen. Chord sequences may be analyzed by using ghost chords, temporary harmonic structures that are created, updated and finalized over time according to a combination of essential and inessential note fragments. The method further comprises identifying non-harmony pitches according to the analyzed chord sequence.

A system enabling the performance of sensory stimulating content including music and video using gaming in a cyber reality environment, such as using a virtual reality headset. This disclosure includes a system and method through which a performer can virtually trigger and control a presentation of pre-packaged sensory stimulating content including musical programs through gaming. A theme for the performer is that the pre-packaged sensory stimulating content is preferably chosen such that, even where the performer is a novice, the sensory stimulating data is presented in a pleasing and sympathetic manner and scoring is provided as a function of the performer's ability to provide a gesture in association with a displayed virtual trigger.

An automated music composition and generation system allowing uses to create and deliver electronic messages and documents such as text, SMS and email, augmented with automatically-composed music generated using user-selected music emotion and style descriptors. The automated music composition and generation system includes an automated music composition and generation engine operably connected to a system user interface, and the infrastructure of the Internet. Mobile and desktop client machines provide text, SMS and/or email services supported on the Internet. Each client machine has a text application, SMS application and/or email application that is augmented by the addition of automatically-composed music by users using the automated music composition and generation engine. By selecting and providing musical emotion and style descriptor icons to the engine, music is automatically composed, generated, and embedded in text, SMS and/or email messages for delivery to other client machines over the infrastructure of the Internet.

Techniques are disclosed relating to automatically generating new music content based on image representations of audio files. A music generation system includes a music generation subsystem and a music classification subsystem. The music generation subsystem may generate output music content according to music parameters that define policy for generating music. The classification subsystem may be used to classify whether music is generated by the music generation subsystem or is professionally produced music content. The music generation subsystem may implement an algorithm that is reinforced by prediction output from the music classification subsystem. Reinforcement may include tuning the music parameters to generate more human-like music content.

Computer-based systems, devices, and methods for automatically generating aesthetic chord progressions and key modulations in musical compositions are described. Known harmonic relationships are expanded upon to produce a much richer set of harmonic transition probability models compared to conventional music theory, and these models are leveraged by a computer-based musical composition system to generate new musical compositions and variations of existing musical compositions. Techniques for enabling a computer-based musical composition system to automatically determine when to introduce a key modulation, what key to module to, and what chord progression(s) to use within the new key are all described.

Techniques are disclosed relating to automatically generate new music content. In some embodiments, a computing system receivers user input specifying a user-defined music control element. The computing system may train a machine learning model to change both composition and performance parameters based on user adjustments to the user-defined music control element. In embodiments in which composition and performance subsystems are on different devices, one device may transmit configuration information to another device, where the configuration information specifies how to adjust parameters based on user input to the user-defined music control element. Disclosed techniques may facilitate centralized learning for human-like music production while allowing individualized customization for individual users. Further, disclosed techniques may allow artists to define their own abstract music controls and make those controls available to end-users.

A music composition, editing, and playback system and method provides a user interface design based on geometric interpretation of music theory replacing traditional modern music notation with geometric shapes including chords represented by polygons that are colored with colors or hues.

An approach is provided in which an information handling system configures a reinforcement learning model based inspiration selections received from a user. The information handling system performs training iterations using the configured reinforcement learning model, which generates multiple actions and multiple rewards corresponding to multiple actions. The information handling system determines that the multiple rewards reach an empirical threshold and, in turn, generates a musical composition based on the multiple actions.