Music Signal Segmentation Using Tree-Structured Filter Banks

Bobrek M, Koch DB. Music Signal Segmentation Using Tree-Structured Filter Banks. J Audio Eng Soc. 1998;46(5):412-427. Available from: https://aes.org/publications/elibrary-page/?id=12145

@article{Bobrek1998_12145,
  author = {Bobrek, Miljko and Koch, Daniel B.},
  title = {{Music Signal Segmentation Using Tree-Structured Filter Banks}},
  journal = {Journal of the Audio Engineering Society},
  volume = {46},
  number = {5},
  pages = {412--427},
  year = {1998},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12145}
}

TY  - JOUR
TI  - Music Signal Segmentation Using Tree-Structured Filter Banks
AU  - Bobrek, Miljko
AU  - Koch, Daniel B.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 46
IS  - 5
SP  - 412
EP  - 427
PY  - 1998
DA  - 1998/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12145
PB  - Audio Engineering Society
LA  - en
AB  - For music signal segmentation, an 11-stage tree-structured filter bank that leads to wavelet packet analysis was designed and implemented. The tree-structured filter bank has sufficient frequency resolution over a wide range of frequencies, while the time resolution at high frequencies satisfies the minimum time resolution for the human ear. To improve selectivity, a new family of quadrature mirror filters (QMFs) with a narrow transition region and a low reconstruction error was implemented.
ER  -