Advanced Audio Identification Using MPEG-7 Content Description

Hellmuth O, Herre J, Allamanche E, Cremer M, Kastner T, Hirsch W. Advanced Audio Identification Using MPEG-7 Content Description. In: AES Convention 111. Audio Engineering Society; 2001. Paper 5463. Available from: https://aes.org/publications/elibrary-page/?id=9895

@inproceedings{Hellmuth2001_9895,
  author = {Hellmuth, Oliver and Herre, Jürgen and Allamanche, Eric and Cremer, Markus and Kastner, Thorsten and Hirsch, Wolfgang},
  title = {{Advanced Audio Identification Using MPEG-7 Content Description}},
  booktitle = {AES Convention 111},
  note = {Paper 5463},
  year = {2001},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=9895}
}

TY  - CPAPER
TI  - Advanced Audio Identification Using MPEG-7 Content Description
AU  - Hellmuth, Oliver
AU  - Herre, Jürgen
AU  - Allamanche, Eric
AU  - Cremer, Markus
AU  - Kastner, Thorsten
AU  - Hirsch, Wolfgang
T2  - AES Convention 111
M1  - Paper 5463
PY  - 2001
DA  - 2001/11/06
UR  - https://aes.org/publications/elibrary-page/?id=9895
PB  - Audio Engineering Society
LA  - en
AB  - Driven by an increasing need for characterizing multimedia material, much research effort has been spent in the field of content-based classification recently. This paper presents a system for automatic identification of audio material from a database of registered works. The system is designed to allow reliable, fast and robust detection of audio material with the resources provided by today's standard computing platforms. Based on low level signal features standardized within the MPEG-7 framework, the underlying audio fingerprint format bears the potential for worldwide interoperability. Particular attention is given to issues of robustness to common signal distortions, providing good performance not only under laboratory conditions, but also in real-world applications. Improvements in discrimination, speed of search and scalability are discussed.
ER  -