MPEG-7 Scalable Robust Audio Fingerprinting

Kastner T, Allamanche E, Herre J, Hellmuth O, Cremer M, Grossmann H. MPEG-7 Scalable Robust Audio Fingerprinting. In: AES Convention 112. Audio Engineering Society; 2002. Paper 5511. Available from: https://aes.org/publications/elibrary-page/?id=11321

@inproceedings{Kastner2002_11321,
  author = {Kastner, Thorsten and Allamanche, Eric and Herre, Jurgen and Hellmuth, Oliver and Cremer, Markus and Grossmann, Holger},
  title = {{MPEG-7 Scalable Robust Audio Fingerprinting}},
  booktitle = {AES Convention 112},
  note = {Paper 5511},
  year = {2002},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11321}
}

TY  - CPAPER
TI  - MPEG-7 Scalable Robust Audio Fingerprinting
AU  - Kastner, Thorsten
AU  - Allamanche, Eric
AU  - Herre, Jurgen
AU  - Hellmuth, Oliver
AU  - Cremer, Markus
AU  - Grossmann, Holger
T2  - AES Convention 112
M1  - Paper 5511
PY  - 2002
DA  - 2002/04/06
UR  - https://aes.org/publications/elibrary-page/?id=11321
PB  - Audio Engineering Society
LA  - en
AB  - Much interest has recently been received by systems for audio fingerprinting, which enable automatic identification of audio content by extracting unique signatures from the signal. Requirements for such systems include robustness to a wide range of signal distortions and availability of fast search methods, even for large fingerprint databases. This paper describes the provisions of the MPEG-7 standard for audio fingerprinting which allow for interoperability of fingerprint information generated according to the open standardized specification for extraction. In particular, it discusses the ability to generate scalable fingerprints providing different trade-offs between fingerprint compactness, temporal coverage and robustness of recognition, and gives experimental results for various system configurations.
ER  -