The textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval (MIR) …

This paper provides a guide through the FMP notebooks, a comprehensive collection of
educational material for teaching and learning fundamentals of music processing (FMP) with …

Pedestrian detection based on deep learning methods have reached great success in the
past few years with several possible real-world applications including autonomous driving …

This chapter provides an overview of how deep learning techniques can be used for audio
signals. We first review the main DNN architectures, meta-architectures and training …

Recent works have addressed the automatic cover detection problem from a metric learning
perspective. They employ different input representations, aiming to exploit melodic or …

Predicting health risks from electronic health records (EHR) is a topic of recent interest.
Deep learning models have achieved success by modeling temporal and feature interaction …

Cover song identification (CSI) has been a challenging task and an import topic in music
information retrieval (MIR) community. In recent years, CSI problems have been extensively …

The task of music structure analysis refers to automatically identifying the location and the
nature of musical sections within a song. In the supervised scenario, structural annotations …

In time-series analysis, nonlinear temporal misalignment is a major problem that forestalls
even simple averaging. An effective learning-based solution for this problem is the …

Deep Learning (DL) has recently been applied successfully to the task of Cover Song
Identification (CSI). Meanwhile, neural networks that consider music signal data structure in …