Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases

Kurth F, Ribbrock A, Clausen M. Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases. In: AES Convention 112. Audio Engineering Society; 2002. Paper 5512. Available from: https://aes.org/publications/elibrary-page/?id=11325

@inproceedings{Kurth2002_11325,
  author = {Kurth, Frank and Ribbrock, Andreas and Clausen, Michael},
  title = {{Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases}},
  booktitle = {AES Convention 112},
  note = {Paper 5512},
  year = {2002},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11325}
}

TY  - CPAPER
TI  - Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases
AU  - Kurth, Frank
AU  - Ribbrock, Andreas
AU  - Clausen, Michael
T2  - AES Convention 112
M1  - Paper 5512
PY  - 2002
DA  - 2002/04/06
UR  - https://aes.org/publications/elibrary-page/?id=11325
PB  - Audio Engineering Society
LA  - en
AB  - In this paper we present a new method for robust audio identification. Based on our existing audio indexing technology, we developed new methods to query large audio data bases with highly distorted versions of an audio signal or parts of them. For instance the data base could be queried by transmitting a piece of music using a cellular phone. In contrast to recent approaches, arbitrary segments of a piece of music are allowed as a query. We demonstrate that our method for any short audio fragment with length exceeding approximately five seconds, is able to identify the corresponding piece of audio along with the exact position of the fragment within the original signal. Our approach only relies on features extracted from the audio signals hence making the embedding of, e.g. watermarks obsolete. In our work we furthermore give an overview on our extensive tests using a database of several 1000 items of audio (approximately one month of audio) demonstrating the capability of our new method.
ER  -