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 …

Audio effects are an essential tool that the field of music production relies upon. The ability to
intentionally manipulate and modify a piece of sound has opened up considerable …

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 …

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 …

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 …

The dependency of the timbre of musical sounds on their fundamental frequency (F 0) was
examined in three experiments. In experiment I subjects compared the timbres of stimuli …

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 …

This article discusses musical-timbre perception. Musical timbre is a combination of
continuous perceptual dimensions and discrete features to which listeners are differentially …

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 …