Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Spontaneous organisation, pattern models, and music
Organised Sound
Nearest-neighbor automatic sound annotation with a WordNet taxonomy
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Musical instrument timbres classification with spectral features
EURASIP Journal on Applied Signal Processing
Musical genre classification using modified wavelet-like features and support vector machines
IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
Music structure analysis using a probabilistic fitness measure and a greedy search algorithm
IEEE Transactions on Audio, Speech, and Language Processing
Musical genre classification using modified wavelet-like features and support vector machines
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
Representing musical sounds with an interpolating state model
IEEE Transactions on Audio, Speech, and Language Processing
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on environmental sound synthesis, processing, and retrieval
Ecological acoustics perspective for content-based retrieval of environmental sounds
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on environmental sound synthesis, processing, and retrieval
A self-similarity approach to repairing large dropouts of streamed music
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We introduce a system for generalised sound classification and similarity using a machine-learning framework. Applications of the system include automatic classification of environmental sounds, musical instruments, music genre and human speakers. In addition to classification, the system may also be used for computing similarity metrics between a target sound and other sounds in a database. We discuss the use of hidden Markov models for representing the temporal evolution of audio spectra and present results of testing the system on classification and retrieval tasks. The system has been incorporated into the MPEG-7 international standard for multimedia content description and is therefore publicly available in the form of a set of standardised interfaces and software reference tools for developers and researchers.