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.

C/C++实现Python音频处理库librosa中melspectrogram的计算过程

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.