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The Basics of Convolution in Audio Production
https://www.izotope.com/en/learn/the-basics-of-convolution-in-audio-production.html
Convolution is one of the more sophisticated processes regularly used in audio production. Its ability to accurately impart the characteristic timbres of spaces and objects on other signals is useful in both sound design and standard processing applications.
Convolution Processing With Impulse Responses
https://www.soundonsound.com/techniques/convolution-processing-impulse-responses
Some software convolution playback devices offer a function to convert the swept-tone recordings you've captured into IRs. These include the Altiverb IR Pre-Processor from Audio Ease, the latest version of Waves IR1, and the one that started it all on the PC some six years ago, Sonic Foundry's Acoustic Modeler (now Sony Media's Acoustic Mirror).
Synthesis Chapter Four: Convolution
https://cmtext.indiana.edu/synthesis/chapter4_convolution.php
Convolution is a method of cross-synthesis, combining two audio sources in such a manner that, in the frequency domain, those frequencies they have in common will be emphasized proportionately, and those they do not share will be minimized. In the time domain, the way in which those frequencies hang around, get smeared, die away is another part of the convolution …
Audio processing by using pytorch 1D convolution network
https://pythonawesome.com/audio-processing-by-using-pytorch-1d-convolution-network/
Audio processing by using pytorch 1D convolution network. By doing so, spectrograms can be generated from audio on-the-fly during neural network training. Kapre has a similar concept in which they also use 1D convolution from keras to do the waveforms to spectrogram conversions. Other GPU audio processing tools are torchaudio and tf.signal.
Convolution Function - Hack Audio
https://www.hackaudio.com/digital-signal-processing/echo-effects/convolution-function/
The convolution operation can be performed in Matlab by using a built-in function: conv. The basic syntax for using the function is the following: [y] = conv(x,h) Input Variables: x – an array of samples representing the input signal. h – an array of delay coefficients representing the system of processing. Output Variable:
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