Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

This survey paper provides an overview of content-based music information retrieval
systems, both for audio and for symbolic music notation. Matching algorithms and indexing …

A proposal that an embodied cognition approach to music research—drawing on work in
computer science, psychology, brain science, and musicology—offers a promising …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …

A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

Most of the existing methods for measuring melodic similarity use one-dimensional textual
representations of music notation, so that melodic similarity can be measured by calculating …

Melodic similarity is a central concept in many sub-disciplines of musicology, as well as for
many computer based applications that deal with the classifications and retrieval of melodic …

Bottlenose dolphins (Tursiops truncatus) produce many vocalisations, including whistles that
are unique to the individual producing them. Such “signature whistles” play a role in …

Query‐by‐humming systems offer content‐based searching for melodies and require no
special musical training or knowledge. Many such systems have been built, but there has …