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Prediction of Notes from Vocal Time Series: An Overview

  • Claus Weihs
  • Uwe Ligges
  • Ursula Garczarek
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

This paper deals with the prediction of notes from vocal time series. Different kinds of classification algorithms using different amounts of background information are described and compared. The results of the methods are presented by an transcription algorithm into musical notes.

Keywords

Independent Component Analysis Radial Basis Function Kernel Misclassification Rate Quadratic Loss Function Note Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 2005

Authors and Affiliations

  • Claus Weihs
    • 1
  • Uwe Ligges
    • 1
  • Ursula Garczarek
    • 1
  1. 1.Fachbereich StatistikUniversität DortmundDortmundGermany

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