salehsargolzaee/Audio-Signal-Processing-and-Feature-Extraction
Feature extraction from audio signal (explained in Persian)
This project provides methods for extracting key features from audio signals, helping scientists and engineers understand the underlying characteristics of sound. It takes raw audio recordings as input and produces quantitative descriptors like amplitude envelope, RMS energy, and zero-crossing rate. Researchers in fields like acoustics, speech processing, and music analysis would find this useful for their studies.
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Use this if you need to analyze the specific components of audio signals to categorize sounds, identify patterns, or prepare audio for further machine learning applications.
Not ideal if you are looking for an off-the-shelf solution for general audio manipulation or simply playing back audio, as its focus is on detailed signal decomposition.
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May 07, 2022
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