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kapre: Keras Audio Preprocessors
Audio processing by using pytorch 1D convolution network
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Polish bird species recognition - Bird song analysis and classification with MFCC and CNNs. Trained on EfficientNets with final score 0.88 AUC. Women in Machine Learning & Data Science project.
A packaged convolutional voice activity detector for noisy environments.
musical genres binary classification using pytorch.audio and keras
audio classification fastai - Convert audio files into images for classification
Given mel-frequency spectrogram predict whether audio is clean or noisy
Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.
In this project, I implemented Convolutional Neural Networks on images of melspectrogram of sound files.
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