Automatic Recognition of Musical Instrument Sounds - Further Developments

Czyzewski A, Kostek B. Automatic Recognition of Musical Instrument Sounds - Further Developments. In: AES Convention 110. Audio Engineering Society; 2001. Paper 5334. Available from: https://aes.org/publications/elibrary-page/?id=10017

@inproceedings{Czyzewski2001_10017,
  author = {Czyzewski, Andrzej and Kostek, Bozena},
  title = {{Automatic Recognition of Musical Instrument Sounds - Further Developments}},
  booktitle = {AES Convention 110},
  note = {Paper 5334},
  year = {2001},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=10017}
}

TY  - CPAPER
TI  - Automatic Recognition of Musical Instrument Sounds - Further Developments
AU  - Czyzewski, Andrzej
AU  - Kostek, Bozena
T2  - AES Convention 110
M1  - Paper 5334
PY  - 2001
DA  - 2001/05/06
UR  - https://aes.org/publications/elibrary-page/?id=10017
PB  - Audio Engineering Society
LA  - en
AB  - Discussion on the subject of retrieval of musical data from Internet or multimedia databases, which is carried out now for some time does not successfully reach its final stage of application. There are still many problems related to the subject of automatic recognition of music or musical instrument sounds that cannot be solved easily. Especially important is to find adequate parameters of musical signal based on time and frequency and/or wavelet analyses. Proposed feature vectors were derived on the basis of the constructed databases that contain recorded musical sounds. The presented study shows some methods of automatic identification of musical instruments based both on classical statistical and soft computing approaches. They were used then to classify musical instruments. The results obtained in the carried out investigations are presented and analyzed, leading to some specific and some more general conclusions.
ER  -