SonoSketch: Querying Sound Effect Databases through Painting

Battermann M, Heise S, Loviscach J. SonoSketch: Querying Sound Effect Databases through Painting. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7794. Available from: https://aes.org/publications/elibrary-page/?id=14990

@inproceedings{Battermann2009_14990,
  author = {Battermann, Michael and Heise, Sebastian and Loviscach, Jörn},
  title = {{SonoSketch: Querying Sound Effect Databases through Painting}},
  booktitle = {AES Convention 126},
  note = {Paper 7794},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14990}
}

TY  - CPAPER
TI  - SonoSketch: Querying Sound Effect Databases through Painting
AU  - Battermann, Michael
AU  - Heise, Sebastian
AU  - Loviscach, Jörn
T2  - AES Convention 126
M1  - Paper 7794
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14990
PB  - Audio Engineering Society
LA  - en
AB  - Numerous techniques support finding sounds that are acoustically similar to a given one. It is hard, however, to find a sound to start the similarity search with. Inspired by systems for image search that allow drawing the shape to be found, we address quick input for audio retrieval. In our system, the user literally sketches a sound effect, placing curved strokes on a canvas. Each of these represents one sound from a collection of basic sounds. The audio feed-back is interactive, as is the continuous update of the list of retrieval results. The retrieval is based on symbol se-quences formed from MFCC data compared with the help of a neural net using an editing distance to allow small temporal changes.
ER  -