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 …

Imagine a world where you walk up to a computer and sing the song fragment that has been
plaguing you since breakfast. The computer accepts your off-key singing, corrects your …

The analysis of musical signals to extract audio descriptors that can potentially characterize
their timbre has been disparate and often too focused on a particular small set of sounds …

Environmental monitoring is a topic of increasing interest, especially concerning the matter
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …

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 …

Timbre is a misleadingly simple and exceedingly vague word encompassing a very complex
set of auditory attributes, as well as a plethora of intricate psychological and musical issues …

Human listeners are able to recognize structure in music through the perception of repetition
and other relationships within a piece of music. This work aims to automate the task of music …

We propose a new approach to instrument recognition in the context of real music
orchestrations ranging from solos to quartets. The strength of our approach is that it does not …

Digital audio and especially music collections are becoming a major part of the average
computer user experience. Large digital audio collections of sound effects are also used by …