An Experimental Audio Coder using Rate-distortion Controlled Temporal Block Switching

Boehm J, Jax P, Kordon S. An Experimental Audio Coder using Rate-distortion Controlled Temporal Block Switching. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6810. Available from: https://aes.org/publications/elibrary-page/?id=13614

@inproceedings{Boehm2006_13614,
  author = {Boehm, Johannes and Jax, Peter and Kordon, Sven},
  title = {{An Experimental Audio Coder using Rate-distortion Controlled Temporal Block Switching}},
  booktitle = {AES Convention 120},
  note = {Paper 6810},
  year = {2006},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13614}
}

TY  - CPAPER
TI  - An Experimental Audio Coder using Rate-distortion Controlled Temporal Block Switching
AU  - Boehm, Johannes
AU  - Jax, Peter
AU  - Kordon, Sven
T2  - AES Convention 120
M1  - Paper 6810
PY  - 2006
DA  - 2006/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13614
PB  - Audio Engineering Society
LA  - en
AB  - To address the requirement of piecewise stationarity within the analyzed signal segments, today’s state of the art audio codecs make use of two filter bank resolutions. Short temporal resolution sequences are used to adapt to transient like jump signals, long temporal resolutions are used to effectively code the more steady or slowly drifting waveforms. With increasing computational capacity a better adaptation of the filter bank to the signal becomes feasible. The paper presents an experimental MDCT based transform coder which is capable of switching between four filter bank resolutions. A distortion measure is deployed which is driven by a simple psychoacoustic model that incorporates masking effects both for stationary and transient signals. A rate-distortion control is proposed to partition the signal to optimally match the signal contour with the temporal resolutions of the filter bank. Performance results are presented and compared to the conventional two resolution approach. Proposals for further developments, like pre-segmentation are evaluated.
ER  -