Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
Jupyter notebooks and Python modules for the processing of the dataset (UrbanSound8K) and the implementation of the models for the task of sound classification using convolutional neural networks. The pdf with the final version of the thesis project can also be found in this repository.
ESC: Dataset for Environmental Sound Classification - paper replication data
Bird Audio Detection challenge submission using an ensemble of convolutional neural networks
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
:musical_score: Environmental sound classification using Deep Learning with extracted features
