GitHub and source code

GitHub

Base line MIMII: https://github.com/MIMII-hitachi/mimii_baseline

Baseline

https://github.com/MIMII-hitachi/mimii_baseline

Audio general

https://github.com/context-net/context-net/tree/master/audio_context_net https://pyroomacoustics.readthedocs.io/en/pypi-release/index.html

dereverb

https://github.com/helianvine/fdndlp

denoise

https://timsainburg.com/noise-reduction-python.html https://librosa.github.io/librosa/generated/librosa.decompose.nn_filter.html

Kaggle

Predictive Modeling (ML with Audio)

Kaggle Notebook: Urban Sound - Feature Extraction & KNN https://www.kaggle.com/papeloto/urban-sound-feature-extraction-knn

Remarks

a. Noise reduction with PCA
b. Application of "classical" Methods

Kaggle Notebook: Freesound General-Purpose Audio Tagging Challenge https://www.kaggle.com/fizzbuzz/beginner-s-guide-to-audio-data

Remarks

a. Various model-types
    1. 1D convolution on raw wave
    2. 2D convolution on MFCC 
    3. Ensemble of both