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10+ audio processing software tools you should know …
https://voxpow.medium.com/10-audio-processing-software-tools-you-should-know-about-a49bd7ed6d47
Оcenaudio (macOS, Windows, Linux) 2. WaveLab Elements (macOS, …
Audio Signal Processing - an overview | ScienceDirect …
https://www.sciencedirect.com/topics/engineering/audio-signal-processing
Audio Processing. Steven W. Smith, in Digital Signal Processing: A Practical Guide for Engineers and Scientists, 2003. Audio processing covers many diverse fields, all involved in presenting sound to human listeners. Three areas are prominent: (1) high fidelity music reproduction, such as in audio compact discs, (2) voice telecommunications, another name for telephone networks, …
Audio Signal Processing for Music Applications | Coursera
https://www.coursera.org/learn/audio-signal-processing
In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in …
An introduction to audio processing and machine …
https://opensource.com/article/19/9/audio-processing-machine-learning-python
GFCCs have a number of applications in speech processing, such as speaker identification. Other features useful in audio processing tasks (especially speech) include LPCC, BFCC, PNCC, and spectral features like spectral flux, entropy, roll off, centroid, spread, and energy entropy. Building a classifier
Digital Signal Processing for Audio Applications
https://www.recordingblogs.com/rbdocs/soft/DSP%20for%20Audio%20Applications%20-%20vol%201%20-%20TOC%20Index.pdf
"Digital Signal Processing for Audio Applications" provides much of the needed information. It is a simple structured approach to understanding how digitally recorded sound can be manipulated. It presents and explains, and sometimes derives, the mathematical theory that the DSP user can employ in designing sound manipulating applications.
Audio Processing
https://www.dspguide.com/ch1/3.htm
One of the most interesting DSP applications in music preparation is artificial reverberation. If the individual channels are simply added together, the resulting piece sounds frail and diluted, much as if the musicians were playing outdoors.
Audio Processor Software - signalogic.com
https://www.signalogic.com/index.pl?page=audproc
Applications Applications include improving speech and audio intelligibility in auditoria, steering sound, dynamically "shaping" frequency response, monitoring acoustic conditions, and applying DSP algorithms (filters, adaptive equalization, FFTs, etc.) in real-time.
Sound / Processing.org
https://processing.org/tutorials/sound/
As we saw with audio representation, audio effects processing is typically done using either time- or frequency-domain algorithms that process a stream of audio vectors. An echo effect, for example, can be easily implemented by creating a buffer of sample memory to delay a sound and play it back later, mixing it in with the original.
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