Automatic Evaluation of Musical Sound Separation Quality

Dziubinski M, Kostek B. Automatic Evaluation of Musical Sound Separation Quality. In: AES Convention 119. Audio Engineering Society; 2005. Paper 6625. Available from: https://aes.org/publications/elibrary-page/?id=13353

@inproceedings{Dziubinski2005_13353,
  author = {Dziubinski, Marek and Kostek, Bozena},
  title = {{Automatic Evaluation of Musical Sound Separation Quality}},
  booktitle = {AES Convention 119},
  note = {Paper 6625},
  year = {2005},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13353}
}

TY  - CPAPER
TI  - Automatic Evaluation of Musical Sound Separation Quality
AU  - Dziubinski, Marek
AU  - Kostek, Bozena
T2  - AES Convention 119
M1  - Paper 6625
PY  - 2005
DA  - 2005/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13353
PB  - Audio Engineering Society
LA  - en
AB  - This paper addresses the problem of evaluating effectiveness of musical sound separation algorithms. The standardized procedure for evaluating separation quality does not exist. The most convincing and typical way to do this is by carrying out subjective listening tests. However, subjective tests need a solid statistical validation, which means that many experts should take part in such tests, the room characteristics should be adequate, and what is also important, such tests are time consuming. Thus this paper attempts to show that it is possible to carry out the evaluation tests in an automatic way, by employing an Artificial Network System (ANN), which is further justified by experts’ opinion.
ER  -