IEEE

Optimized Audio Classification with Convolutional Neural Network Ensembles

Abstract: In this work, we present a structured approach to a typical audio classification task, focusing specifically on Music Genre Classification (MGC). We develop and test three different ...
IEEE

Audio Data Analysis and Music Genre Classification with Various Machine Learning Techniques

Abstract: Music genre classification presents several challenges, including high-dimensional audio data, overlapping genre characteristics, and subjective labeling. Although machine learning has shown ...
GitHub

AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Biomedical Audio Classification

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...
GitHub

ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...