Morphological Sound Description: Computational Model and Usability Evaluation

Ricard J, Herrera P. Morphological Sound Description: Computational Model and Usability Evaluation. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6012. Available from: https://aes.org/publications/elibrary-page/?id=12717

@inproceedings{Ricard2004_12717,
  author = {Ricard, Julien and Herrera, Perfecto},
  title = {{Morphological Sound Description: Computational Model and Usability Evaluation}},
  booktitle = {AES Convention 116},
  note = {Paper 6012},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12717}
}

TY  - CPAPER
TI  - Morphological Sound Description: Computational Model and Usability Evaluation
AU  - Ricard, Julien
AU  - Herrera, Perfecto
T2  - AES Convention 116
M1  - Paper 6012
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12717
PB  - Audio Engineering Society
LA  - en
AB  - Sound samples metadata are usually limited to a source label and several related textual labels. In the context of sound retrieval this makes the retrieval of sounds having no identifiable source (?abstract sounds?) a hard task. We propose a description framework focusing on intrinsic perceptual sound qualities, based on Schaeffer?s research on sound objects, which could be used to represent and retrieve abstract sounds and to refine traditional search by source for non-abstract sounds. We show that some perceptual labels can be automatically extracted with good performance, avoiding the time-consuming manual labelling task, and that the resulting representation is evaluated as useful and usable by a pool of users.
ER  -