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 …

In Western popular music, drums and percussion are an important means to emphasize and
shape the rhythm, often defining the musical style. If computers were able to analyze the …

The paper considers the task of recognizing environmental sounds for the understanding of
a scene or context surrounding an audio sensor. A variety of features have been proposed …

The original edition of The Geometry of Musical Rhythm was the first book to provide a
systematic and accessible computational geometric analysis of the musical rhythms of the …

La investigación produce conocimiento. Pero¿ qué clase de conocimiento persigue la
investigación artística?¿ No es el arte en sí mismo el producto de una investigación?¿ Tiene …

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

Automatic recognition of unstructured environments is an important problem for mobile
robots. We focus on using audio features to recognize different auditory environments …

Temporal feature integration is the process of combining all the feature vectors in a time
window into a single feature vector in order to capture the relevant temporal information in …

Automatic drum transcription (ADT) systems attempt to generate a symbolic music notation
for percussive instruments in audio recordings. Neural networks have already been shown …

When operating a wind turbine, damage of rotor blades is a serious problem. Undetected
damages are likely to increase overtime, and therefore, the safety risks and economical …