Low Complexity Transient Detection in Audio Coding Using an Image Edge Detection Approach

Capobianco J, Pallone G, Daudet L. Low Complexity Transient Detection in Audio Coding Using an Image Edge Detection Approach. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8796. Available from: https://aes.org/publications/elibrary-page/?id=16538

@inproceedings{Capobianco2012_16538,
  author = {Capobianco, Julien and Pallone, Grégory and Daudet, Laurent},
  title = {{Low Complexity Transient Detection in Audio Coding Using an Image Edge Detection Approach}},
  booktitle = {AES Convention 133},
  note = {Paper 8796},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16538}
}

TY  - CPAPER
TI  - Low Complexity Transient Detection in Audio Coding Using an Image Edge Detection Approach
AU  - Capobianco, Julien
AU  - Pallone, Grégory
AU  - Daudet, Laurent
T2  - AES Convention 133
M1  - Paper 8796
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16538
PB  - Audio Engineering Society
LA  - en
AB  - In this paper we propose a new low complexity method of transient detection using an image edge detection approach. In this method, the time-frequency spectrum of an audio signal is considered as an image. Using appropriate mapping function for converting energy bins into pixels, audio transients correspond to rectilinear edges in the image. Then, the transient detection problem is equivalent to an edge detection problem. Inspired by standard image methods of edge detection, we derive a detection function specific to rectilinear edges that can be implemented with a very low complexity. Our method is evaluated in two practical audio coding applications, in replacement of the SBR transient detector in HEAAC+ V2 and in the stereo parametric tool of MPEG USAC.
ER  -