Transactions on Rough Sets V (Lecture Notes in Computer Science)
Transactions on Rough Sets V (Lecture Notes in Computer Science)
Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing
The rough set exploration system
Transactions on Rough Sets III
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
Transactions on Rough Sets IX
Adaptive phoneme alignment based on rough set theory
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
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The aim of the research study presented in this paper is the automatic singing voice recognition. For this purpose a database containing singers' sample recordings has been constructed and parameters are extracted from recorded voices of trained and untrained singers of various voice types. Parameters, which are especially designed for the analysis of the singing voice are described and their physical interpretation is given. Decision systems based on artificial neutral networks and rough sets are used for automatic voice type/voice quality classification. Results obtained in the automatic classification performed by both decision systems are then compared and conclusions are derived.