Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Selected topics in approximation and computation
Selected topics in approximation and computation
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Journal of VLSI Signal Processing Systems - special issue on multimedia signal processing
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Separation of harmonic sound sources using sinusoidal modeling
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Multipitch estimation and sound separation by the spectral smoothness principle
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
Engineering Applications of Artificial Intelligence
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Fundamenta Informaticae - Special issue ISMIS'05
Learning from Soft-Computing Methods on Abnormalities in Audio Data
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Musical Instruments in Random Forest
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
The domain of acoustics seen from the rough sets perspective
Transactions on rough sets VI
Journal of Intelligent Information Systems
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
Random musical bands playing in random forests
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Blind music timbre source isolation by multi- resolution comparison of spectrum signatures
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Recognition of instrument timbres in real polytimbral audio recordings
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Journal of Intelligent Information Systems
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
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Fundamenta Informaticae - Special issue ISMIS'05
Journal of Intelligent Information Systems
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Blind separation of musical sounds contained in sound mixtures is a challenging and difficult task. It is due to the fact that in Western music, mixed harmonic sources may be correlated with each other, i.e. their harmonic partials might be overlapping in the frequency domain if the signals remain in harmonic relation. Evaluation of the separation results is also problematic, since analysis of the energy-based error between the original signals used for mixing and the separated ones, in some cases, do not correspond with perceptual evaluation results. In this paper, four separation algorithms, engineered by the Authors, are presented. Then, musical instrument sound identification based on artificial neural networks is performed as a means of evaluating the performance of the separation algorithms. Results are discussed and conclusions are derived.