Artificial Intelligence Approach to the Detection of Events in a Musical Signal

Kostek B, Czyzewski A, Zielinski SK. Artificial Intelligence Approach to the Detection of Events in a Musical Signal. In: AES Convention 96. Audio Engineering Society; 1994. Paper 3822. Available from: https://aes.org/publications/elibrary-page/?id=6410

@inproceedings{Kostek1994_6410,
  author = {Kostek, Bozena and Czyzewski, Andrzej and Zielinski, Slawomir K.},
  title = {{Artificial Intelligence Approach to the Detection of Events in a Musical Signal}},
  booktitle = {AES Convention 96},
  note = {Paper 3822},
  year = {1994},
  month = feb,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=6410}
}

TY  - CPAPER
TI  - Artificial Intelligence Approach to the Detection of Events in a Musical Signal
AU  - Kostek, Bozena
AU  - Czyzewski, Andrzej
AU  - Zielinski, Slawomir K.
T2  - AES Convention 96
M1  - Paper 3822
PY  - 1994
DA  - 1994/02/06
UR  - https://aes.org/publications/elibrary-page/?id=6410
PB  - Audio Engineering Society
LA  - en
AB  - Experiments with events detection in a musical signal with the use of the learning algorithm are described. Particular attention is paid to the recognition of transient states in pipe organ sound. The concept of the computer pipe organ control system is based on the artificial intelligence approach raised from these experiments. Other applications, such as learning algorithm to musical pattern recognition, impulse-noise detection, and analyzing of transient states in musical sound, are discussed and illustrated with the experiment results.
ER  -