IEEE

Audio-Based Machine Learning for Electric Motor Fault and Performance Analysis

Abstract: Machine learning (ML), particularly deep learning (DL), has been widely employed in electric motor applications such as fault diagnosis and motor design optimization. While vibration is ...
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 ...

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 ...