abishek-as / Audio-Classification-Deep-Learning

We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.

abishek-as
abishek-as
Date Created 2022-02-27 (2 years ago)
Commits 7 (last one 2 years ago)
Stargazers 39 (1 this week)
Watchers 1 (0 this week)
Forks 12
License unknown
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RepositoryStats indexes 609,392 repositories, of these abishek-as/Audio-Classification-Deep-Learning is ranked #535,780 (12th percentile) for total stargazers, and #553,560 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,909/18,095.

abishek-as/Audio-Classification-Deep-Learning is also tagged with popular topics, for these it's ranked: python (#20,811/22740),  deep-learning (#7,902/8640),  machine-learning (#7,498/8200),  python3 (#3,827/4211),  django (#1,823/1984),  audio (#1,429/1544),  neural-network (#1,042/1114),  keras (#766/799),  cnn (#507/563),  convolutional-neural-networks (#529/553)

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updated: 2025-01-31 @ 05:47pm, id: 464130088 / R_kgDOG6oQKA