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Automatic characterization of dynamics and articulation of expressive monophonic recordings
| Title | Automatic characterization of dynamics and articulation of expressive monophonic recordings |
| Publication Type | Conference Paper |
| Year of Publication | 2005 |
| Conference Name | AES 118th Convention |
| Authors | Maestre, E. , & Gómez E. |
| Abstract | We describe a method to automatically extract a set of features from the audio signal that are related to musical expressivity, more concretely to dynamics and articulation. We define a description scheme based on intra-note segmentation into attack, sustain, release and transition segments, and a subsequent amplitude and pitch contour characterization. Then, we present a series of algorithms to automatically perform intra-note segmentation and extract some features related to expressivity. We evaluate the performance of the methods for intra-note segmentation and feature extraction over a saxophone database of jazz standards and other recordings presenting expressive resources. Finally, we propose some future work and applications. |
| preprint/postprint document | files/publications/07fa41-AES118-MaestreGomez.pdf |
