On the Effect of Reverberation on Musical Instrument Automatic Recognition

Barthet M, Sandler M. On the Effect of Reverberation on Musical Instrument Automatic Recognition. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8110. Available from: https://aes.org/publications/elibrary-page/?id=15407

@inproceedings{Barthet2010_15407,
  author = {Barthet, Mathieu and Sandler, Mark},
  title = {{On the Effect of Reverberation on Musical Instrument Automatic Recognition}},
  booktitle = {AES Convention 128},
  note = {Paper 8110},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15407}
}

TY  - CPAPER
TI  - On the Effect of Reverberation on Musical Instrument Automatic Recognition
AU  - Barthet, Mathieu
AU  - Sandler, Mark
T2  - AES Convention 128
M1  - Paper 8110
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15407
PB  - Audio Engineering Society
LA  - en
AB  - This study investigates the effect of reverberation on the accuracy of a musical instrument recognition model based on Line Spectral Frequencies and K-means clustering. 180 experiments were conducted by varying the type of music databases (isolated notes, solo performances), the stage in which the reverberation is added (learning and/or testing), and the reverberation type (3 different Reverberation Times, 10 different dry-wet levels). The performances of the model systematically decreased when reverberation was added at the testing stage (by up to 40%). Conversely, when reverberation was added at the training stage, a 3%-increase of performance was observed for the solo performances database. The results suggest that pre-processing the signals with a dereverberation algorithm before classification may be a means to improve musical instrument recognition systems.
ER  -