Music and Audio Processing

Music and Audio Processing is a research topic within Signal Processing. Science Explorer counts 37k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the classification and analysis of audio signals, including music genre classification, environmental sound recognition, melody extraction, and acoustic scene classification. It explores techniques such as deep learning, convolutional neural networks, and feature extraction for music information retrieval.

• Audio Signal Classification
• Music Information Retrieval
• Deep Learning
• Convolutional Neural Networks
• Feature Extraction
• Environmental Sound Recognition
• Music Genre Classification
• Melody Extraction
• Acoustic Scene Classification
• Audio Event Detection