We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

The steep rise in music downloading over CD sales has created a major shift in the music
industry away from physical media formats and towards online products and services. Music …

Digital methods are increasingly applied to store, structure and analyse vast amounts of
musical data. In this context, visualization plays a crucial role, as it assists musicologists and …

This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …

Assisting the user in finding music is one of the original motivations that led to the
establishment of Music Information Retrieval (MIR) as a research field. This encompasses …

Audio stories are an engaging form of communication that combine speech and music into
compelling narratives. Existing audio editing tools force story producers to manipulate …

This paper introduces our research aimed at building" active music listening interfaces". This
research approach is intended to enrich end-users' music listening experiences by applying …

An approach is presented to automatically build a search engine for large-scale music
collections that can be queried through natural language. While existing approaches …

This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …

Since a few years, classification in music research is a very broad and quickly growing field.
Most important for adequate classification is the knowledge of adequate observable or …