Estimation of musical sound separation algorithm effectiveness employing neural networks
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Note separation of polyphonic music by energy split
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Instrument prints in note separation of polyphonic music
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Rule-Based Expressive Modifications of Tempo in Polyphonic Audio Recordings
Computer Music Modeling and Retrieval. Sense of Sounds
Polyphonic music separation based on the simplified energy splitter
WSEAS Transactions on Signal Processing
Simple and powerful instrument model for the source separation of polyphonic music
WSEAS Transactions on Signal Processing
Harmonic source separation using prestored spectra
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
An auditory model based approach for melody detection in polyphonic musical recordings
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
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A processing principle is proposed for finding the pitches and separating the spectra of concurrent musical sounds. The principle, spectral smoothness, is used in the human auditory system which separates sounds partly by assuming that the spectral envelopes of real sounds are continuous. Both theoretical and experimental evidence is presented for the vital importance of spectral smoothness in resolving sound mixtures. Three algorithms of varying complexity are described which successfully implement the new principle. In validation experiments, random pitch and sound source combinations were analyzed in a single time frame. The number of simultaneous sounds ranged from one to six, the database comprising sung vowels and 26 musical instruments. Usage of a specific yet straightforward smoothing operation corrected approximately half of the pitch errors that occurred in a system which was otherwise identical but did not use the smoothness principle. In random four-voice mixtures, pitch error rate reduced from 18 % to 8.1 %.