Provided is an audio synthesis method. Music score data of target music is acquired, wherein the music score data includes audio data identifiers and performance time information corresponding to a plurality of sub-audios, an instrumental timbre corresponding to each of the sub-audios being matched with a hearing-impaired hearing timbre; the sub-audios based on the audio data identifiers corresponding to each of the sub-audios is acquired; and a synthetic audio of the target music is generated by performing a fusion process on the sub-audios based on the performance time information corresponding to each of the sub-audios.

Multichannel data sonification arrangements for providing parallel perceptual channels for representing complex numerical data to a user seeking to identify correlations within the data are presented. In an implementation, several varying data quantities are represented by time-varying sound and presented to a user to observe both variations and correlations among sonic events or trends. The data sonification can include multiple data-modulated sound timbre classes, for example each separately rendered within a stereo sound field. The sound timbre classes can be arranged to convey a sonic metaphor.

Calculation is performed to provide a delay and attenuated oscillation to a blowing pressure detected by a blowing pressure sensor which detects blowing pressure, and a musical sound is generated based on the blowing pressure subjected to the calculation. As a result, for example, a blowing feeling of an electronic wind instrument can be made closer to a blowing feeling of a natural musical instrument.

A platform for audio and electronic music applications where the electronics are implemented as modules, and the modules mount in a cabinet with a common power supply and infrastructure. The platform addresses problems in electrical, mechanical, usability, and power distribution areas, and is suitable for guitar effects, synthesizers, studio equipment, and DJ gear.

Multichannel data sonification arrangements for providing parallel perceptual channels for representing complex numerical data to a user seeking to identify correlations within the data are presented. In an implementation, several varying data quantities are represented by time-varying sound and presented to a user to observe both variations and correlations among sonic events or trends. The data sonification can include multiple data-modulated sound timbre classes, for example each separately rendered within a stereo sound field. The sound timbre classes can be arranged to convey a sonic metaphor.

Data sonification arrangements for use with data visualization so as to provide parallel perceptual channels for representing complex numerical data to a user seeking to identify correlations within the data are presented. In an implementation, several varying data quantities are represented by time-varying graphics while several other varying data quantities are represented by time-varying sound, both presented to a user to observe correlations between sonic and visual events or trends. Sonification can be used to offload some information-carrying information capacity from a visualization system, while other information can be rendered via both sonification and visualization to provide affirming or orienting redundancy. In an implementation joint and coordinated visual-sonic metaphors are used for this or other purposes. For example, data sonification can include multiple data-modulated sound timbre classes, each rendered within a stereo sound field according to a spatial metaphor that is shared with the visualization.

A sound synthesizing apparatus includes a waveform storing section which stores a plurality of unit waveforms extracted from different positions, on a time axis, of a sound waveform indicating a voiced sound, and a waveform generating section which generates, for each of a first processing period and a second processing period, a synthesized waveform by arranging the plurality of unit waveforms on the time axis, wherein the second processing period is an immediately succeeding processing period after the first processing period.

A system for modifying an audio signal comprises a computer including a first digital signal processor (DSP). The first DSP includes a first module and a second module. The first module is coupled to the interface to provide a musical instrument with a set of testing input signals and obtain a set of testing output signals from the musical instrument via the interface. The second module is configured to perform functions including: analyzing the set of testing output signals to obtain a set of parameters, constructing an acoustic transducer to model characteristics of the musical instrument based on the set of parameters, and receiving the audio signal to modify the audio signal using the acoustic transducer, wherein the first DSP module obtains the set of parameters at least by identifying occurrences when an output level state determined at least based on the set of testing output signals significantly changes.

A system for modifying an audio signal comprises a computer including a first digital signal processor (DSP). The first DSP includes a first module and a second module. The first module is coupled to the interface to provide a musical instrument with a set of testing input signals and obtain a set of testing output signals from the musical instrument via the interface. The second module is configured to perform functions including: analyzing the set of testing output signals to obtain a set of parameters, constructing an acoustic transducer to model characteristics of the musical instrument based on the set of parameters, and receiving the audio signal to modify the audio signal using the acoustic transducer, wherein the first DSP module obtains the set of parameters at least by identifying occurrences when an output level state determined at least based on the set of testing output signals significantly changes.

A method of modeling a characteristic of a non-linear system, comprises feeding testing input signals into the non-linear system to obtain testing output signals corresponding to the testing input signals, wherein the testing input signals include a first testing input signal and the testing output signals include a first testing output signal, identifying occurrences when an output level state in at least one specific frequency band of the first testing output signal significantly changes under the first testing input signal so as to obtain a first profile, and modeling the characteristic based on the first profile.