A Robust Music Retrieval System

Eom KW, Kim HG, Shi YY, Zhu X. A Robust Music Retrieval System. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6774. Available from: https://aes.org/publications/elibrary-page/?id=13578

@inproceedings{Eom2006_13578,
  author = {Eom, Ki-wan and Kim, Hyoung-gook and Shi, Yuan-yuan and Zhu, Xuan},
  title = {{A Robust Music Retrieval System}},
  booktitle = {AES Convention 120},
  note = {Paper 6774},
  year = {2006},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13578}
}

TY  - CPAPER
TI  - A Robust Music Retrieval System
AU  - Eom, Ki-wan
AU  - Kim, Hyoung-gook
AU  - Shi, Yuan-yuan
AU  - Zhu, Xuan
T2  - AES Convention 120
M1  - Paper 6774
PY  - 2006
DA  - 2006/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13578
PB  - Audio Engineering Society
LA  - en
AB  - A robust music audio fingerprinting system for automatic music retrieval is proposed in this paper. The fingerprinting feature is extracted from the long-term dynamic modulation spectrum estimation in perceptual compressed domain. The modulation frequency analysis, smoothing with a low-pass filter and the low resolution quantization significantly improve the robustness of the feature. Further the fast searching problem is solved by looking up hash table with 32-bit hash values. The hash value bits are quantized from the logarithmic scale modulation frequency coefficients. The system obtains 50.6%, 92.6%, 99.4%, or 100% search precision with approximately zero false positive rate when the query clips’ signal-to-noise ratio is <0dB, 0~5dB, 5~15dB, or >15dB, respectively.
ER  -