Pitch Detection Enhancement Employing Music Prediction
详细信息 查看全文
- 作者：Marek Szczerba and Andrzej Czyzewski
- 关键词：musical pitch ; pitch detection ; music prediction ; neural networks
- 刊名：Journal of Intelligent Information Systems
- 出版年：2005
- 出版时间：March 2005
- 年：2005
- 卷：24
- 期：2-3
- 页码：223-251
- 全文大小：2,123 KB
文摘
Pitch detection methods are widely used for extracting musical data from digital signals. A review of those methods is presented in the paper. Since musical signals may contain noise and distortion, detection results can be erroneous. In this paper a new method employing music prediction to support pitch determination is introduced. This method was developed in order to override disadvantages of standard pitch detection algorithms. The new approach utilizes signal segmentation and pitch prediction based on musical knowledge extraction employing artificial neural networks. Signal segmentation allows for estimating the pitch for a single note as a whole, therefore suppressing errors in transient and decay phases. Pitch prediction helps correcting pitch estimation errors by tracking musical context of the analyzed signal. As it was shown in the experimental results, pitch estimation errors may be reduced by using both signal segmentation and music prediction techniques.