Feature Extraction Methods for the Intelligent Processing of Musical Signals

Kostek B. Feature Extraction Methods for the Intelligent Processing of Musical Signals. In: AES Convention 99. Audio Engineering Society; 1995. Paper 4076. Available from: https://aes.org/publications/elibrary-page/?id=7690

@inproceedings{Kostek1995_7690,
  author = {Kostek, Bozena},
  title = {{Feature Extraction Methods for the Intelligent Processing of Musical Signals}},
  booktitle = {AES Convention 99},
  note = {Paper 4076},
  year = {1995},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=7690}
}

TY  - CPAPER
TI  - Feature Extraction Methods for the Intelligent Processing of Musical Signals
AU  - Kostek, Bozena
T2  - AES Convention 99
M1  - Paper 4076
PY  - 1995
DA  - 1995/10/06
UR  - https://aes.org/publications/elibrary-page/?id=7690
PB  - Audio Engineering Society
LA  - en
AB  - The purpose of this study was to find appropriate sound parameters to be used for feeding inputs of decision algorithms, such as a neural network or rough-based ones. The quality of the chosen parameters was tested statistically and with the use of a neural network algorithm. Experimental results and conclusions are shown in this paper. Conclusions on the artificial intelligence approach to the automatic recognition of musical timbre are included.
ER  -