Automatic sound recognition (ASR) has attracted increased and wide ranging interests in
recent years. In this paper, we carry out a review of some important contributions in ASR …

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 …

Existing audio tools handle the increasing amount of computer audio data inadequately. The
typical tape-recorder paradigm for audio interfaces is inflexible and time consuming …

The system takes a sequence of audio files as input. In the GUI, users select the features that
they wish to have extracted—letting jAudio take care of all dependency problems—and …

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

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 …

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 …

Musical instrument recognition is an important aspect of music information retrieval. In this
paper, statistical pattern recognition techniques are utilized to tackle the problem in the …

In this paper, we present a novel approach for music structure analysis. A new segmentation
method, beat space segmentation, is proposed and used for music chord detection and …

La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …