Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings

Gomez E, Maestre E. Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6364. Available from: https://aes.org/publications/elibrary-page/?id=13080

@inproceedings{Gomez2005_13080,
  author = {Gomez, Emilia and Maestre, Esteban},
  title = {{Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings}},
  booktitle = {AES Convention 118},
  note = {Paper 6364},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13080}
}

TY  - CPAPER
TI  - Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings
AU  - Gomez, Emilia
AU  - Maestre, Esteban
T2  - AES Convention 118
M1  - Paper 6364
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13080
PB  - Audio Engineering Society
LA  - en
AB  - 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. Saxophone jazz standards performance recordings are analyzed, in order to obtain an expressivity model in terms of amplitude and pitch. The description scheme is presented, as well as the algorithms to automatically perform intra-note segmentation and feature extraction scheme. We evaluate the performance of the algorithms for both intra-note segmentation and feature extraction and propose some future work and applications.
ER  -