The objective of the enrollment process is to modify (adapt) a speaker-independent model
into one that best characterizes the target speaker's vocal tract characteristics. Depending …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

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 …

We present an exhaustive review of research on automatic classification of sounds from
musical instruments. Two different but complementary approaches are examined, the …

A set of features is evaluated for recognition of musical instruments out of monophonic
musical signals. Aiming to achieve a compact representation, the adopted features regard …

Nowadays, it appears essential to design automatic indexing tools which provide
meaningful and efficient means to describe the musical audio content. There is in fact a …

The aim of this overview is to describe methods for the automatic transcription of Western
polyphonic music. The transcription task is here understood as transforming an acoustic …

We present a comparative evaluation of automatic classification of a sound database
containing more than six hundred drum sounds (kick, snare, hihat, toms and cymbals). A …

A curious divide characterizes the usage of audio descriptors for timbre research in music
information research (MIR) and music psychology. While MIR uses a multitude of audio …

In tackling data mining and pattern recognition tasks, finding a compact but effective set of
features has often been found to be a crucial step in the overall problem-solving process. In …