A sound generating analog synthesizer that is comprised of potentiometers, a switch or switches and a set of patch jacks has a control system that can be operated in three modes, a manual mode, an automatic mode, and a guided mode; wherein manual mode allows potentiometer and switch positions as well as patch cable connections to be set by hand; wherein automatic mode, automatically sets patch connections as on or off, as well as set potentiometer positions and switch states with electromechanical or electrical devices; and wherein the guided mode provides at least one visual information on how to change the potentiometer positions, switch states and patch jack connections such that a previously obtained sound can be reproduced.

A sound generating analog synthesizer that is comprised of potentiometers, a switch or switches and a set of patch jacks has a control system that can be operated in three modes, a manual mode, an automatic mode, and a guided mode; wherein manual mode allows potentiometer and switch positions as well as patch cable connections to be set by hand; wherein automatic mode, automatically sets patch connections as on or off, as well as set potentiometer positions and switch states with electromechanical or electrical devices; and wherein the guided mode provides at least one visual information on how to change the potentiometer positions, switch states and patch jack connections such that a previously obtained sound can be reproduced.

A signal processing apparatus has a first memory in which plural pieces of FIR coefficient data used for implementing an FIR filter algorithm are stored, a second memory which stores plural pieces of input data to be subjected to the FIR filter algorithm, and a processor implements the FIR filter algorithm using the plural pieces of FIR coefficient data stored in the first memory and the plural pieces of input data stored in the second memory as many times as the number corresponding to a designated filter order, in which filter algorithm each piece of coefficient data and each piece of input data are multiplied together and resultant products are summed up. The signal processing apparatus is provided, which can implement plural sorts of FIR filter algorithms of filter order which can be changed flexibly.

An audio processing circuit, audio unit and integrated circuit and method for blending are described. The audio processing circuit comprises: a time-to-frequency domain circuit configured to convert a primary audio signal and a secondary audio signal in a time-domain form and output frequency spectrum representations thereof; a cross-fade magnitude circuit configured to obtain a cross-faded magnitude spectrum representation from the frequency spectrum representations; a cross-fade phase circuit configured to obtain a separate cross-faded phase spectrum representation from the frequency spectrum representations; and a frequency-to-time domain circuit configured to receive the separate cross-faded magnitude and cross-faded phase spectrum representations and output a time domain signal.

A sound generating analog synthesizer that is comprised of potentiometers, a switch or switches and a set of patch jacks has a control system that can be operated in three modes, a manual mode, an automatic mode, and a guided mode; wherein manual mode allows potentiometer and switch positions as well as patch cable connections to be set by hand; wherein automatic mode, automatically sets patch connections as on or off, as well as set potentiometer positions and switch states with electromechanical or electrical devices; and wherein the guided mode provides at least one visual information on how to change the potentiometer positions, switch states and patch jack connections such that a previously obtained sound can be reproduced.

A sound generating analog synthesizer that is comprised of potentiometers, a switch or switches and a set of patch jacks has a control system that can be operated in three modes, a manual mode, an automatic mode, and a guided mode; wherein manual mode allows potentiometer and switch positions as well as patch cable connections to be set by hand; wherein automatic mode, automatically sets patch connections as on or off, as well as set potentiometer positions and switch states with electromechanical or electrical devices; and wherein the guided mode provides at least one visual information on how to change the potentiometer positions, switch states and patch jack connections such that a previously obtained sound can be reproduced.

The present disclosure provides systems and methods that include or otherwise leverage a machine-learned neural synthesizer model. Unlike a traditional synthesizer which generates audio from hand-designed components like oscillators and wavetables, the neural synthesizer model can use deep neural networks to generate sounds at the level of individual samples. Learning directly from data, the neural synthesizer model can provide intuitive control over timbre and dynamics and enable exploration of new sounds that would be difficult or impossible to produce with a hand-tuned synthesizer. As one example, the neural synthesizer model can be a neural synthesis autoencoder that includes an encoder model that learns embeddings descriptive of musical characteristics and an autoregressive decoder model that is conditioned on the embedding to autoregressively generate musical waveforms that have the musical characteristics one audio sample at a time.

Systems and methods for enabling the generating and modifying of sound elements is provided. A sound engine includes or is linked to one or more sound modification interfaces that enable one or more users to access a digital waveform generator/modifier utility (digital audio generator, digital envelope generator), so as to graphically map aspects of that audio waveform's generation, by tracing one or more Bezier paths defined that can be processed by the sound engine, so as to define or modify aspects of the waveform, such as its frequency, pitch and amplitude envelopes, harmonic structure, the timing or pitch of component waveform elements, or directly upon the waveform. The sound engine enables user manipulation of the Bezier paths, including touch input modification of the paths (e.g. dragging, forming etc.) that define or modify fundamental qualities of the corresponding waveform.

A sample library for sample notes, wherein each note has been samples at a plurality of dynamic layers, each note having a main sample and a plurality of impulse response samples. Each impulse response sample corresponding to a deconvolution of the main note and one corresponding dynamic layer sample. During playback of a note the main sample is convoluted with a corresponding impulse response sample to produce a simulated target note.

A sample library for sample notes, wherein each note has been samples at a plurality of dynamic layers, each note having a main sample and a plurality of impulse response samples. Each impulse response sample corresponding to a deconvolution of the main note and one corresponding dynamic layer sample. During playback of a note the main sample is convoluted with a corresponding impulse response sample to produce a simulated target note.