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GitHub / DrStef / Deep-Learning-and-Digital-Signal-Processing-for-Environmental-Sound-Classification

Automatic environmental sound classification (ESC) based on ESC-50 dataset (and ESC-10 subset)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DrStef%2FDeep-Learning-and-Digital-Signal-Processing-for-Environmental-Sound-Classification
PURL: pkg:github/DrStef/Deep-Learning-and-Digital-Signal-Processing-for-Environmental-Sound-Classification

Stars: 9
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 18.7 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 1 month ago

Topics: audio, audio-processing, complex-wavelets, convolutional-neural-networks, cwt, deep-learning, digital-signal-processing, keras-tensorflow, librosa, mel-spectrograms, python, wavelet-transform

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