Upfront Time Segmentation Methods for Transform Coding of Audio

Heusdens R, Lincklaen Arriëns HJ, Niamut OA. Upfront Time Segmentation Methods for Transform Coding of Audio. In: AES Convention 119. Audio Engineering Society; 2005. Paper 6585. Available from: https://aes.org/publications/elibrary-page/?id=13283

@inproceedings{Heusdens2005_13283,
  author = {Heusdens, Richard and Lincklaen Arriëns, Huib J. and Niamut, Omar A.},
  title = {{Upfront Time Segmentation Methods for Transform Coding of Audio}},
  booktitle = {AES Convention 119},
  note = {Paper 6585},
  year = {2005},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13283}
}

TY  - CPAPER
TI  - Upfront Time Segmentation Methods for Transform Coding of Audio
AU  - Heusdens, Richard
AU  - Lincklaen Arriëns, Huib J.
AU  - Niamut, Omar A.
T2  - AES Convention 119
M1  - Paper 6585
PY  - 2005
DA  - 2005/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13283
PB  - Audio Engineering Society
LA  - en
AB  - We study a transform coder that employs a dynamic programming based rate-distortion optimization framework for time segmentation. Although this coder exhibits a high performance, its computational complexity makes it unfeasible for many practical applications. It is investigated whether upfront time segmentation can reduce computational complexity without a significant increase in perceptual distortion. Upfront time segmentation can be accomplished by replacing the rate-distortion cost functional with low-complexity cost measures, that are independent of bit rate and perceptual distortion. Through both quantitative and qualitative evaluation it is shown that dynamic programming based upfront time segmentation for minimization of perceptual entropy can be a viable alternative to rate-distortion optimal time segmentation.
ER  -