G10H1/06

Musical sound generation method, musical sound generation device, and recording medium
11735152 · 2023-08-22 · ·

A musical sound generation device includes a control device which, when a performance operator among a plurality of performance operators has been operated for a part that has been set to sound a predetermined number of simulated voices of an analog synthesizer, assigns a sounding parameter of one or two or more voices, which form a timbre of a simulated voice of the analog synthesizer corresponding to the operated performance operator and are selected from a plurality of sounding voices, to a sound generation circuit, and assigns, to the sound generation circuit, an information set selected from a plurality of information sets and each include a variation value that applies a variation to the sounding parameter of the one or two or more voices, and a sound generation circuit that performs a sounding process of the one or two or more voices using the sounding parameter and the information set.

Audio Techniques for Music Content Generation
20230259327 · 2023-08-17 ·

Techniques are disclosed relating to implementing audio techniques for real-time audio generation. For example, a music generator system may generate new music content from playback music content based on different parameter representations of an audio signal. In some cases, an audio signal can be represented by both a graph of the signal (e.g., an audio signal graph) relative to time and a graph of the signal relative to beats (e.g., a signal graph). The signal graph is invariant to tempo, which allows for tempo invariant modification of audio parameters of the music content in addition to tempo variant modifications based on the audio signal graph.

Audio Techniques for Music Content Generation
20230259327 · 2023-08-17 ·

Techniques are disclosed relating to implementing audio techniques for real-time audio generation. For example, a music generator system may generate new music content from playback music content based on different parameter representations of an audio signal. In some cases, an audio signal can be represented by both a graph of the signal (e.g., an audio signal graph) relative to time and a graph of the signal relative to beats (e.g., a signal graph). The signal graph is invariant to tempo, which allows for tempo invariant modification of audio parameters of the music content in addition to tempo variant modifications based on the audio signal graph.

Dynamic music modification
11328700 · 2022-05-10 · ·

A method for electronic music generation comprising electronically applying one or more functions that change one or more compositional elements of a musical input in a first tonality or other musical representation to generate a musical output in a second tonality or other musical representation and recording data corresponding to the musical output in a recording medium or rendering such musical Transformations to a reproductive medium such as an amplifier and speakers or headphones.

Dynamic music modification
11328700 · 2022-05-10 · ·

A method for electronic music generation comprising electronically applying one or more functions that change one or more compositional elements of a musical input in a first tonality or other musical representation to generate a musical output in a second tonality or other musical representation and recording data corresponding to the musical output in a recording medium or rendering such musical Transformations to a reproductive medium such as an amplifier and speakers or headphones.

EFFICIENT COMBINED HARMONIC TRANSPOSITION

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.

SYSTEM FOR CONVERTING IMAGES INTO SOUND SPECTRUM
20230306937 · 2023-09-28 ·

Disclosed is a system for the real-time acquisition, analysis, and conversion of the visual spectrum of shapes, images, colors, and signs into sound spectrum, which is usable in various communicative contexts, such as in the field of interactive videogames, computer science, neuroscience and neuroimaging in the medical field, visual arts, social arts, but also in the pedagogical field, characterized in that it includes a hardware component for the analog optical acquisition of the still or dynamic images present on a transparent flat surface of the hardware component, and a software component for processing the acquired images and converting their visual spectrum into sound spectrum.

SYSTEM FOR CONVERTING IMAGES INTO SOUND SPECTRUM
20230306937 · 2023-09-28 ·

Disclosed is a system for the real-time acquisition, analysis, and conversion of the visual spectrum of shapes, images, colors, and signs into sound spectrum, which is usable in various communicative contexts, such as in the field of interactive videogames, computer science, neuroscience and neuroimaging in the medical field, visual arts, social arts, but also in the pedagogical field, characterized in that it includes a hardware component for the analog optical acquisition of the still or dynamic images present on a transparent flat surface of the hardware component, and a software component for processing the acquired images and converting their visual spectrum into sound spectrum.

LOW-COMPLEXITY TONALITY-ADAPTIVE AUDIO SIGNAL QUANTIZATION

The invention provides an audio encoder for encoding an audio signal so as to produce therefrom an encoded signal, the audio encoder including: a framing device configured to extract frames from the audio signal; a quantizer configured to map spectral lines of a spectrum signal derived from the frame of the audio signal to quantization indices, wherein the quantizer has a dead-zone, in which the input spectral lines are mapped to quantization index zero; and a control device configured to modify the dead-zone; wherein the control device includes a tonality calculating device configured to calculate at least one tonality indicating value for at least one spectrum line or for at least one group of spectral lines, wherein the control device is configured to modify the dead-zone for the at least one spectrum line or the at least one group of spectrum lines depending on the respective tonality indicating value.

LOW-COMPLEXITY TONALITY-ADAPTIVE AUDIO SIGNAL QUANTIZATION

The invention provides an audio encoder for encoding an audio signal so as to produce therefrom an encoded signal, the audio encoder including: a framing device configured to extract frames from the audio signal; a quantizer configured to map spectral lines of a spectrum signal derived from the frame of the audio signal to quantization indices, wherein the quantizer has a dead-zone, in which the input spectral lines are mapped to quantization index zero; and a control device configured to modify the dead-zone; wherein the control device includes a tonality calculating device configured to calculate at least one tonality indicating value for at least one spectrum line or for at least one group of spectral lines, wherein the control device is configured to modify the dead-zone for the at least one spectrum line or the at least one group of spectrum lines depending on the respective tonality indicating value.