Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio.

Duxbury C, Davies M, Sandler MB. Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio. In: AES Convention 114. Audio Engineering Society; 2003. Paper 5812. Available from: https://aes.org/publications/elibrary-page/?id=12493

@inproceedings{Duxbury2003_12493,
  author = {Duxbury, Chris and Davies, Mike and Sandler, Mark B.},
  title = {{Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio.}},
  booktitle = {AES Convention 114},
  note = {Paper 5812},
  year = {2003},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12493}
}

TY  - CPAPER
TI  - Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio.
AU  - Duxbury, Chris
AU  - Davies, Mike
AU  - Sandler, Mark B.
T2  - AES Convention 114
M1  - Paper 5812
PY  - 2003
DA  - 2003/03/06
UR  - https://aes.org/publications/elibrary-page/?id=12493
PB  - Audio Engineering Society
LA  - en
AB  - We present a method to achieve good segmentation of note events for use with non-linear time scaling algorithms, greatly reducing artefacts due to both rhythmic distortions and soft note transitions being treated as percussive transients. The proposed algorithm isolates percussive transients as a subset of note-onsets, leading to a more meaningful segmentation. A subband based hybrid onset detection algorithm forms the basis of this segmentation scheme. A new frequency content distance measure, automatic threshold setting and subband result validation are all key elements of this scheme. At the subband re-combining stage the algorithm differentiates between note onsets, which may appear in one or more subbands, from percussive transients that appear in multiple subbands.
ER  -