A a control system for dials and switches allows one or more dials and/or switches to be controlled remotely via a wired or a wireless communication. Preferably, the control system is utilized by a user with one or more expression pedals and/or a footswitches to control audio equipment, such as, for example, an amplifier or other audio processor apparatus. Methods of using the same are further provided.

A system and method for an adaptable effects unit is provided. In one aspect, the system allows users to manipulate audio signals transmitted from a musical instrument prior to being output by a speaker. In another aspect, the system allows users to create virtual signal chains that may be used to alter audio signals of a musical instrument without the need of multiple effects units. In yet another aspect, the system may be used in a way that allows a user to customize the controls of a physical effects unit so that the controls better suit the user's needs. Generally, the system allows users alter and customize a physical effects unit via a user interface of a computing device. The physical effects unit is configured in a way such that it may receive instructions from the computing device.

Embodiments are disclosed for determining an answer to a query associated with a graphical representation of data. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including an unprocessed audio sequence and a request to perform an audio signal processing effect on the unprocessed audio sequence. The one or more embodiments further include analyzing, by a deep encoder, the unprocessed audio sequence to determine parameters for processing the unprocessed audio sequence. The one or more embodiments further include sending the unprocessed audio sequence and the parameters to one or more audio signal processing effects plugins to perform the requested audio signal processing effect using the parameters and outputting a processed audio sequence after processing of the unprocessed audio sequence using the parameters of the one or more audio signal processing effects plugins.

Audio translation system includes a feature extractor and a style transfer machine learning model. The feature extractor generates for each of a plurality of source voice files one or more source voice parameters encoded as a collection of source feature vectors, and generates for each of a plurality of target voice files one or more target voice parameters encoded as a collection of target feature vectors. The style transfer machine learning model trained on the collection of source feature vectors for the plurality of source voice files and the collection of target feature vectors for the plurality of target voice files to generate a style transformed feature vector.

Provided is a device 1 including: a signal processing unit 40 that applies a rotary speaker effect corresponding to a rotation speed value to a sound signal and control a tone color of the sound signal; and a control unit 10 that gradually changes, in response to a change command of the rotation speed value, the rotation speed value from a first speed to a second speed higher than the first speed with a first change curve having a first delay, and gradually changes control of the tone color from a first characteristic to a second characteristic that is stronger in the high frequency range than the first characteristic with a second change curve having a second delay shorter than the first delay.

The present document relates to audio coding systems which make use of a harmonic transposition method for high frequency reconstruction (HFR), and to digital effect processors, e.g. so-called exciters, where generation of harmonic distortion adds brightness to the processed signal. In particular, a system configured to generate a high frequency component of a signal from a low frequency component of the signal is described. The system may comprise an analysis filter bank (501) configured to provide a set of analysis subband signals from the low frequency component of the signal; wherein the set of analysis subband signals comprises at least two analysis subband signals; wherein the analysis filter bank (501) has a frequency resolution of Δf. The system further comprises a nonlinear processing unit (502) configured to determine a set of synthesis subband signals from the set of analysis subband signals using a transposition order P; wherein the set of synthesis subband signals comprises a portion of the set of analysis subband signals phase shifted by an amount derived from the transposition order P; and a synthesis filter bank (504) configured to generate the high frequency component of the signal from the set of synthesis subband signals; wherein the synthesis filter bank (504) has a frequency resolution of FΔf; with F being a resolution factor, with F≥1; wherein the transposition order P is different from the resolution factor F.

This information processing device comprises: a control unit which receives an input of information indicating one or more timings in a playback time of a piece of music, and generates a file including information pertaining to a timbre control performed from each of the one or more timings; and a transmission unit which transmits an audio signal of the piece of music and the information pertaining to the timbre control in the file to a device which outputs a synthesized sound of the playback sound of the piece of music and the playing sound of a musical instrument.

According to an exemplary embodiment, a content control device for a content divided into multiple playback sections includes at least one memory storing executable instructions and a processor that implements the executable instructions to execute a plurality of tasks. The plurality of tasks include a selecting task, a first acquiring task and an outputting task. The selecting task selects a playback section among the multiple playback sections. The first acquiring task acquires a first operation value in response to an operation of a first operation unit. The outputting task that outputs a plurality of parameter values. The plurality of parameter values are used for varying the content in the selected playback section, corresponding to the acquired first operation value based on control data that defines a relationship between the first operation value and the plurality of parameter values.

A computer-implemented method of processing audio data, the method comprising receiving input audio data (x) comprising a time-series of amplitude values; transforming the input audio data (x) into an input frequency band decomposition (X1) of the input audio data (x); transforming the input frequency band decomposition (X1) into a first latent representation (Z); processing the first latent representation (Z) by a first deep neural network to obtain a second latent representation (Z{circumflex over ( )}, Z1{circumflex over ( )}); transforming the second latent representation (Z{circumflex over ( )}, Z1{circumflex over ( )}) to obtain a discrete approximation (X3{circumflex over ( )}); element-wise multiplying the discrete approximation (X3{circumflex over ( )}) and a residual feature map (R, X5{circumflex over ( )}) to obtain a modified feature map, wherein the residual feature map (R, X5{circumflex over ( )}) is derived from the input frequency band decomposition (X1); processing a pre-shaped frequency band decomposition by a waveshaping unit to obtain a waveshaped frequency band decomposition (X1{circumflex over ( )}, X1.2{circumflex over ( )}), wherein the pre-shaped frequency band decomposition is derived from the input frequency band decomposition (X1), wherein the waveshaping unit comprises a second deep neural network; summing the waveshaped frequency band decomposition (X1{circumflex over ( )}, X1.2{circumflex over ( )}) and a modified frequency band decomposition (X2{circumflex over ( )}, X1.1{circumflex over ( )}) to obtain a summation output (X0{circumflex over ( )}), wherein the modified frequency band decomposition (X2{circumflex over ( )}, X1.1{circumflex over ( )}) is derived from the modified feature map; and transforming the summation output (X0{circumflex over ( )}) to obtain target audio data (y{circumflex over ( )}).

Provided are a method and device for processing a music file, a terminal and a storage medium. The method comprises: in response to a received sound effect adjustment instruction, acquiring a music file, the adjustment of which is indicated by the sound effect adjustment instruction; carrying out vocals and accompaniment separation on the music file to obtain vocal data and accompaniment data in the music file; carrying out first sound effect processing on the vocal data to obtain target vocal data, and carrying out second sound effect processing on the accompaniment data to obtain target accompaniment data; and synthesizing the target vocal data and the target accompaniment data to obtain a target music file.