Music and Audio Information Retrieval using Deep Learning

SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification
  • Develop multi-label auto-tagging systems that are robust to acoustically challenging conditions using music and audio
  • Explore different deep learning architectures, as well as data augmentation techniques, to improve the performance of specific tasks for acoustically challenging scenarios
Daolang Huang
Daolang Huang
Doctoral candidate at Aalto University

My research interests include amortized inference, deep learning, probabilistic machine learning and audio information retrieval