Discrete-time signal processing
Discrete-time signal processing
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
The nature of statistical learning theory
The nature of statistical learning theory
Computational auditory scene analysis
Computational auditory scene analysis
Temporal synchronization in a neural oscillator model of primitive auditory stream segregation
Computational auditory scene analysis
Application of the Bayesian probability network to music scene analysis
Computational auditory scene analysis
A New Method for Tracking Modulations in Tonal Music in Audio Data Format
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Applications of system dynamics modelling to computer music
Organised Sound
Residue-driven architecture for computational auditory scene analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Spontaneous organisation, pattern models, and music
Organised Sound
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In this paper the ingredients of computing auditory perception are reviewed. On the basic level there is neurophysiology, which is abstracted to artificial neural nets (ANNs) and enhanced by statistics to machine learning. There are high-level cognitive models derived from psychoacoustics (especially Gestalt principles). The gap between neuroscience and psychoacoustics has to be filled by numerics, statistics and heuristics. Computerised auditory models have a broad and diverse range of applications: hearing aids and implants, compression in audio codices, automated music analysis, music composition, interactive music installations, and information retrieval from large databases of music samples.