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NTIS 바로가기International journal of contents, v.11 no.4, 2015년, pp.1 - 6
Kim, Dae-Jin (Electronic Engineering Daejin University) , Choi, Hong-Sub (Electronic Engineering Daejin University)
In practice, the most important performance parameters for music information retrieval (MIR) service are robustness of fingerprint in real noise environments and recognition accuracy when the obtained query clips are matched with the an entry in the database. To satisfy these conditions, we proposed...
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J. Haitsma and T. Kalker, “A Highly Robust Audio Fingerprinting System,” Proc. Of the 3rd Int. Symposium on Music Information Retrieval, 2002, pp. 144-148.
Wooram Son, Hyun-Tae Cho, Kyoungro Yoon, and Seok-Pil Lee, “Sub-fingerprint Masking for a Robust Audio Fingerprinting System in Real-noise Environment for Portable Consumer Devices,” IEEE Transactions on Consumer Electronics, vol. 56, no. 1, 2010, pp. 156-160.
J. Song, S. Bae, and K. Yoon, “Mid-level music melody representation of polyphonic audio for query-by-humming system,” International Symposium on Music Information Retrieval, 2002.
J. Song, S. Bae, and K. Yoon, “Query by humming: matching humming query to polyphonic audio,” IEEE International Conference on Multimedia and Expo, 2002.
J. Chen, K. Paliwal, and S. Nakamura, “Cepstrum derived from Differentiated Power Spectrum for Robust Speech Recognition,” Speech Communication, vol. 41, 2003, pp. 469-484.
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