Scalable, Content-Based Audio Identification by Multiple Independent Psychoacoustic Matching

Schmidt GR, Belmonte MK. Scalable, Content-Based Audio Identification by Multiple Independent Psychoacoustic Matching. J Audio Eng Soc. 2004;52(4):366-377. Available from: https://aes.org/publications/elibrary-page/?id=12998

@article{Schmidt2004_12998,
  author = {Schmidt, Geoff R. and Belmonte, Matthew K.},
  title = {{Scalable, Content-Based Audio Identification by Multiple Independent Psychoacoustic Matching}},
  journal = {Journal of the Audio Engineering Society},
  volume = {52},
  number = {4},
  pages = {366--377},
  year = {2004},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12998}
}

TY  - JOUR
TI  - Scalable, Content-Based Audio Identification by Multiple Independent Psychoacoustic Matching
AU  - Schmidt, Geoff R.
AU  - Belmonte, Matthew K.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 52
IS  - 4
SP  - 366
EP  - 377
PY  - 2004
DA  - 2004/04/06
UR  - https://aes.org/publications/elibrary-page/?id=12998
PB  - Audio Engineering Society
LA  - en
AB  - A software system for content-based identification of audio recordings is presented. The system transforms its input using a perceptual model of the human auditory system, making its output robust to lossy compression and to other distortions. In order to make use of both the instantaneous pattern of a recording's perceptual features and the information contained in the evolution of these features over time, the system first matches fragments of the input against a database of fragments of known recordings. In a subsequent step, these matches at the fragment level are assembled in order to identify a single recording that matches consistently over time. In a small-scale test the system has matched all queries successfully against a database of 100 000 commercially released recordings.
ER  -