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Sound is made up of three basic elements:
https://www.allaboutcircuits.com/technical-articles/introduction-audio-electronics-sound-microphones-speakers-amplifiers/#:~:text=Sound%20is%20made%20up%20of%20three%20basic%20elements%3A,the%20sound%20is%203%20Timbre%3A%20the%20sound%27s%20quality
AudioSignal Basics — nussl 1.0.0 documentation
https://nussl.github.io/docs/tutorials/audio_signal_basics.html
AudioSignal Basics¶ The nussl.AudioSignal object is the main container for all things related to your audio data. It provides a lot of helpful utilities to make it easy to manipulate your audio. Because it is at the heart of all of the source separation algorithms in nussl, it is crucial to understand how it works. Here we provide a brief introduction to many common tasks.
Audio Signal - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/engineering/audio-signal
Compression. Audio signals include speech but also music and all types of sounds. On a …
Audio Signals, Sound, Vibration, Amplitude, Frequency ...
https://www.hackaudio.com/computer-programming/audio-basics/audio-signals/
Audio Signals. Sound is vibration. It is created by the movement of a sound source. It travels through air (or another medium) by the movement of air molecules. It is captured with a receiver (a microphone or our ears) by the movement of a diaphragm. Sound is a signal because there is information in these vibrations.
Audio Basics — shabda documentation
https://shabda.readthedocs.io/en/latest/references/AudioBasics.html
Audio Features. We start with a speech signal, we’ll assume sampled at 16kHz. Frame the signal into 20-40 ms frames. 25ms is standard. This means the frame length for a 16kHz signal is 0.025*16000 = 400 samples. Frame step is usually something like 10ms (160 samples), which allows some overlap to the frames.
Introduction to Audio Signal Processing - Coursera
https://www.coursera.org/lecture/audio-signal-processing/introduction-to-audio-signal-processing-fHha1
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 …
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