G10H2210/565

METHOD AND DEVICE FOR AUTOMATED HARMONIZATION OF DIGITAL AUDIO SIGNALS
20240236592 · 2024-07-11 ·

The invention discloses a method and a device for automated harmonization of digital audio signals with a target frequency, wherein the digital audio signal is pitch-shifted. In one embodiment of the invention the target frequency is the frequency of a tinnitus sound. Therefore, the method according to the invention is usable in the context of tinnitus treatment.

Apparatus, systems, and methods for music generation

The present disclosure relates to an apparatus, system, and method that allow non-musicians to compose and perform a musical composition. Although some existing electronic devices can provide a virtual environment to compose and play musical sound digitally, manipulating such a virtual environment can be difficult and may require specific software expertise, as well as knowledge of music theory. The present disclosure provides a platform that facilitates the creation of a musical composition without such software expertise or knowledge of music theory. The platform models a musical composition as a simultaneous playback of one or more musical contents. The platform allows players to control or modify one or more of the plurality of musical contents to generate or synthesize a musical composition.

Cognitive music engine using unsupervised learning

A method for generating a musical composition based on user input is described. A first set of musical characteristics is extracted from a first input musical piece. The first set of music characteristics is prepared as an input vector into an unsupervised neural net comprised of a plurality of computing layers by perturbing the first set of musical characteristics according to a user intent expressed in the user input to create a perturbed vector. The perturbed vector is input into the first set of nodes of the unsupervised neural net. The unsupervised neural net is operated to calculate an output vector from a highest set of nodes. The output vector is used to create an output musical piece.

COGNITIVE MUSIC ENGINE USING UNSUPERVISED LEARNING
20170206875 · 2017-07-20 ·

A method for generating a musical composition based on user input is described. A first set of musical characteristics from a first input musical piece is received as an input vector. The first set of musical characteristics is perturbed to create a perturbed input vector as input in a first set of nodes in a first visible layer of an unsupervised neural net. The unsupervised neural net comprised of a plurality of computing layers, each computing layer composed of a respective set of nodes. The unsupervised neural net is operated to calculate an output vector from a higher level hidden layer in the unsupervised neural net. The output vector is used to create an output musical piece.

APPARATUS, SYSTEMS, AND METHODS FOR MUSIC GENERATION

The present disclosure relates to an apparatus, system, and method that allow non-musicians to compose and perform a musical composition. Although some existing electronic devices can provide a virtual environment to compose and play musical sound digitally, manipulating such a virtual environment can be difficult and may require specific software expertise, as well as knowledge of music theory. The present disclosure provides a platform that facilitates the creation of a musical composition without such software expertise or knowledge of music theory. The platform models a musical composition as a simultaneous playback of one or more musical contents. The platform allows players to control or modify one or more of the plurality of musical contents to generate or synthesize a musical composition.

COGNITIVE MUSIC ENGINE USING UNSUPERVISED LEARNING
20170103740 · 2017-04-13 ·

A method for generating a musical composition based on user input is described. A first set of musical characteristics is extracted from a first input musical piece. The first set of music characteristics is prepared as an input vector into an unsupervised neural net comprised of a plurality of computing layers by perturbing the first set of musical characteristics according to a user intent expressed in the user input to create a perturbed vector. The perturbed vector is input into the first set of nodes of the unsupervised neural net. The unsupervised neural net is operated to calculate an output vector from a highest set of nodes. The output vector is used to create an output musical piece.

Electronic music instrument, system and method for controlling an electronic music instrument
09552801 · 2017-01-24 · ·

An electronic music instrument comprises an input configured for receiving at least one note event from an input device having a plurality of input elements configured for generating at least one note event when activated; a software module configured for including: at least one instrument plugin configured for defining sounding note events and non-sounding control events, and at least one play assistant module, wherein the software module is further configured for at least one of the group comprising excluding the control events from being processed by play assistant functions and excluding play assistant functions generating control events.

Systems and methods for onboard, real-time pickup blending for electric guitars and basses
12494188 · 2025-12-09 ·

A system and a kit can be used for onboard, real-time blending for electronic pickups to produce various tonal combinations. In one example, at least one of the electronic pickups has dual coils. The dual coil pickup can be electrically connected to a switching circuit positioned on a stringed instrument. The switching circuit can be adjustable in real-time to select between at least two conditions for a signal of the dual coil pickup. In one instance, the conditions can select north coil only, series wiring of the dual coils, or south coil only. Alternatively, the conditions can select series wiring or parallel wiring of the dual coils. Each of the electronic pickups is electrically connected to a taper circuit positioned on the instrument. Each taper circuit is adjustable in real-time to vary an amplitude of the signal from the respective electronic pickup for output of the instrument.