A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis

Crockett B, Smithers M. A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6416. Available from: https://aes.org/publications/elibrary-page/?id=13132

@inproceedings{Crockett2005_13132,
  author = {Crockett, Brett and Smithers, Michael},
  title = {{A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis}},
  booktitle = {AES Convention 118},
  note = {Paper 6416},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13132}
}

TY  - CPAPER
TI  - A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis
AU  - Crockett, Brett
AU  - Smithers, Michael
T2  - AES Convention 118
M1  - Paper 6416
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13132
PB  - Audio Engineering Society
LA  - en
AB  - A method for characterizing and identifying audio material using reduced-information audio characterizations based on auditory scene analysis is presented. In the method described, a single or multi-channel audio signal is analyzed and the location and duration of the individual audio auditory events are identified. The auditory events are used to create a reduced-information, audio signature that can be used to determine whether one audio signal is derived from another audio signal. The audio signal comparison removes or minimizes the effect of temporal shift or delay on the audio signals, calculates a measure of similarity, and compares the measure of similarity against a threshold providing a fast, highly accurate and automatic method of signal identification.
ER  -