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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
verfasst von : Paweł Żwan, Piotr Szczuko, Bożena Kostek, Andrzej Czyżewski
Erschienen in: Transactions on Rough Sets IX
Verlag: Springer Berlin Heidelberg
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The aim of the research study presented in this paper is the automatic recognition of a singing voice. For this purpose, a database containing sample recordings of trained and untrained singers was constructed. Based on these recordings, certain voice parameters were extracted. Two recognition categories were defined – one reflecting the skills of a singer (quality), and the other reflecting the type of the singing voice (type). The paper also presents the parameters designed especially for the analysis of a singing voice and gives their physical interpretation. Decision systems based on artificial neutral networks and rough sets are used for automatic voice quality/ type classification. Results obtained from both decision systems are then compared and conclusions are derived.