Automatic audio content analysis
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A multimodal framework for music inputs (poster session)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A robust audio classification and segmentation method
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Sound-source recognition: a theory and computational model
Sound-source recognition: a theory and computational model
General sound classification and similarity in MPEG-7
Organised Sound
A score-driven approach to music information retrieval
Journal of the American Society for Information Science and Technology - Music information retrieval
Automatic recognition of isolated monophonic musical instrument sounds using kNNC
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
Engineering Applications of Artificial Intelligence
EURASIP Journal on Applied Signal Processing
Automatic genre classification of musical signals
EURASIP Journal on Applied Signal Processing
Environmental sound recognition with time-frequency audio features
IEEE Transactions on Audio, Speech, and Language Processing
Multiclass MTS for saxophone timbre quality inspection using waveform-shape-based features
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quality of musical instrument sound identification for various levels of accompanying sounds
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Blind signal separation of similar pitches and instruments in a noisy polyphonic domain
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Feature analysis and classification of classical musical instruments: an empirical study
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Semantic annotation of digital music
Journal of Computer and System Sciences
Musical instrument identification based on new boosting algorithm with probabilistic decisions
CMMR'11 Proceedings of the 8th international conference on Speech, Sound and Music Processing: embracing research in India
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A set of features is evaluated for recognition of musical instruments out of monophonic musical signals. Aiming to achieve a compact representation, the adopted features regard only spectral characteristics of sound and are limited in number. On top of these descriptors, various classification methods are implemented and tested. Over a dataset of 1007 tones from 27 musical instruments, support vectormachines and quadratic discriminant analysis show comparable results with success rates close to 70% of successful classifications. Canonical discriminant analysis never had momentous results, while nearest neighbours performed on average among the employed classifiers. Strings have been the most misclassified instrument family, while very satisfactory results have been obtained with brass and woodwinds. The most relevant features are demonstrated to be the inharmonicity, the spectral centroid, and the energy contained in the first partial.