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 …

An increasing number of researchers work in computational auditory scene analysis
(CASA). However, a set of tasks, each with a well-defined evaluation framework and …

People can achieve rich musical expression through vocal sound {see for example human
beatboxing, which achieves a wide timbral variety through a range of extended techniques …

Mel-frequency cepstral coefficients are used as an abstract representation of the spectral
envelope of a given signal. Although they have been shown to be a powerful descriptor for …

Music is above all about expression and communication. For musicians to develop their own
musical expression and be able to communicate in a playing situation, music is therefore …

A system and method for detection of sound of interest amongst plurality of other
dynamically varying sounds is disclosed. In one embodiment, a spectrum detector identifies …

(57) ABSTRACT A method of detecting occupancy in an area includes obtaining, with a
processor, an audio sample from an audio sensor and determining, with the processor …

Music information retrieval and particularly musical instrument classification has become a
very popular research area for the last few decades. Although in the literature many feature …

In the process of music content creation, a wide range of typical audio effects such as
reverberation, equalization or dynamic compression are very commonly used. Despite the …

Throughout the study of room acoustics, adverse effects and methods of controlling and
mitigating modal behavior are a well researched topic. However, despite this, a gap …