Robust Identification of Time-Scaled Audio

Bardeli R. Robust Identification of Time-Scaled Audio. In: AES Conference: 25th International Conference: Metadata for Audio. Audio Engineering Society; 2004. Paper 4-2. Available from: https://aes.org/publications/elibrary-page/?id=12811

@inproceedings{Bardeli2004_12811,
  author = {Bardeli, Rolf},
  title = {{Robust Identification of Time-Scaled Audio}},
  booktitle = {AES Conference: 25th International Conference: Metadata for Audio},
  note = {Paper 4-2},
  year = {2004},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12811}
}

TY  - CPAPER
TI  - Robust Identification of Time-Scaled Audio
AU  - Bardeli, Rolf
T2  - AES Conference: 25th International Conference: Metadata for Audio
M1  - Paper 4-2
PY  - 2004
DA  - 2004/06/06
UR  - https://aes.org/publications/elibrary-page/?id=12811
PB  - Audio Engineering Society
LA  - en
AB  - Automatic identification of audio titles on radio broadcasts is a first step towards automatic annotation of radio programmes. Systems designed for the purpose of identification have to deal with a variety of post-processing potentially imposed on audio material at the radio stations. One of the more difficult techniques to be handled is time-scaling, i.e., the variation of playback speed. In this paper we propose a robust fingerprinting technique designed for the identification of time-scaled audio data. To allow for fast time-scale invariant audio dentification, the extracted fingerprints are used as an input to an algebraic indexing technique that has already been successfully applied to the task of audio identification.
ER  -