Signal Processing Parameters for Tonality Estimation

Noland K, Sandler M. Signal Processing Parameters for Tonality Estimation. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7155. Available from: https://aes.org/publications/elibrary-page/?id=14140

@inproceedings{Noland2007_14140,
  author = {Noland, Katy and Sandler, Mark},
  title = {{Signal Processing Parameters for Tonality Estimation}},
  booktitle = {AES Convention 122},
  note = {Paper 7155},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14140}
}

TY  - CPAPER
TI  - Signal Processing Parameters for Tonality Estimation
AU  - Noland, Katy
AU  - Sandler, Mark
T2  - AES Convention 122
M1  - Paper 7155
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14140
PB  - Audio Engineering Society
LA  - en
AB  - All musical audio feature extraction techniques require some form of signal processing as a first step. However, the choice of low level parameters such as window sizes is often disregarded, and arbitrary values are chosen. We present an investigation into the effects of low level parameter choice on different tonality estimation algorithms, and show that the low level parameters can make a significant difference to the results. We also show that the choice of parameters is algorithm specific, so optimisation is required for each different method.
ER  -