Deep Learning in Personalized Music Emotion Recognition

Discover the fascinating intersection of technology and music in Deep Learning in Personalized Music Emotion Recognition by Yannik Venohr. Set to be published in 2025 by Springer Fachmedien Wiesbaden, this enlightening paperback spans 101 pages and explores whether machines can truly comprehend the emotional language of music.

Venohr delves deep into the emerging field of Musical Emotion Recognition (MER), presenting a comprehensive mathematical model designed to predict the emotional content of musical compositions. This book is essential for anyone interested in the capabilities of artificial intelligence in understanding and interpreting human emotions through music. Whether you're a researcher, a student, or simply a music enthusiast, this insightful work will broaden your perspective on the potential of deep learning in the realm of music.