1 |
C. M. Bishop, Pattern recognition and machine learning, Springer, 2006.
|
2 |
S. Schapire and Y. Singer, "Improoved boosting algorithms using confidence-rated predictions," Machine Learning, vol. 37, no. 3, pp. 297-336, 1999.
DOI
ScienceOn
|
3 |
D. Jang, C. D. Yoo and T. Kalker, "Distance metric learning for content identification," IEEE Trans. on Information Forensics and Security, vol. 5, issue. 4, pp932-944, 2010.
DOI
ScienceOn
|
4 |
I. Cohen, "Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging," IEEE Trans. on Speech and Audio Processing, vo. 11, pp. 466-475, 2003.
DOI
ScienceOn
|
5 |
Y. D. Cho, M. Y. Kim and S. R. Kim, "A spectrally mixed excitation (SMX) vocoder with robust parameter determination," in Proc. of ICASSP, pp. 601-604, 1998.
|
6 |
Z. Duan, Y. Zhang, C. Zhang and Z. Shi, "Unsupervised single-channel music source separation by average harmonic structure modeling," IEEE Trans. on Audio Speech Language Processing, vol. 16, no. 4, pp. 766-778, 2008.
DOI
ScienceOn
|
7 |
MIREX website. http://www.musicir.org/mirex/wiki/MIREX HOME.
|
8 |
D. Jang, S.-P. Lee, "Query by singing/humming system based on the combination of DTW distances for MIREX 2011," http://www.musicir.org/mirex/abstracts/2011/JSSLP1.pdf (2011).
|
9 |
Essen associative code and folk database, http://www.esac-data.org.
|
10 |
D. Jang, C. D. Yoo, S. Lee, S. Kim and T. Kalker, "Pairwise Boosted Audio Fingerprint," IEEE Trans. on Information Forensics and Security, vol. 4, no. 4, pp. 995-1004, 2009.
DOI
ScienceOn
|
11 |
Y. Liu, K. Cho, H. S. Yun, J. W. Shin and N. S. Kim, "DCT based multiple hashing technique for robust audio finger printing," in Proc. of ICCASP, 2009.
|
12 |
P. Cano, E. Batlle, T. Lalker and J. Haitsma, "A review of audio fingerprinting," Journal of VLSI signal processing, vol. 41, no. 3, pp. 271-284, 2005.
DOI
ScienceOn
|
13 |
W. Son, H-T. Cho, K. Yoon and S-P Lee, "Sub-fingerprint masking for a robust audio fingerprinting system in a real-noise environment for portable consumer devices," IEEE Trans. on Consumer Electronics, vol. 56, no. 1, pp. 156-160, 2010.
DOI
ScienceOn
|
14 |
A. Ghias, J Logan and D Chamberlin, "Query by humming: musical information retrieval in an audio database", In Proc. of ACM Multimedia, pp. 231-236, 1995.
|
15 |
L. Wang, S. Huang, S. Hu, J. Liang and B. Xu, "An effective and efficient method for query by humming system based on multi-similarity measurement fusion," in Proc. of ICALIP, 2008.
|
16 |
H. M. Yu, W. H. Tsai and H. M. Wang, "A query-by-singing system for retrieving karaoke music," IEEE Trans. on multimedia, vol. 10, no. 8, pp. 1626-1637, 2008.
DOI
ScienceOn
|
17 |
M. Ryynanen and A. Klapuri, "Query by humming of MIDI and audio using locality sensitive hashing," in Proc. of ICASSP, 2008.
|
18 |
X. Wu and M. Li, "A top down approach to melody match in pitch contour for query by humming," in Proc. of International Symposium of Chinese Spoken Language Processing, 2006.
|
19 |
K. Kim, K. R. Park, S. J. Park, S. P. Lee and M. Y. Kim, "Robust Query-by-Singing/Humming System against Background Noise Environments," IEEE Trans. On Consumer Electronics, vol. 57, no. 2, pp. 720-725, May 2011.
DOI
ScienceOn
|
20 |
J. Song, S. Y. Bae and K. Yoon, "Mid-level music melody representation of polyphonic audio for query by humming system," in Proc. of Int. Conf. Music Information Retrieval, 2002.
|
21 |
C. C. Wang, J-S. R. Jang and W. Wang, "An improved query by singing/humming system using melody and lyrics information", in Proc. of Int. Society for Music Information Retrieval Conf., pp. 45-50, 2010.
|
22 |
A. P. Klapuri, "Multiple fundamental frequency estimation based on harmonicity and spectral smoothness," IEEE Trans. on Speech Audio Process., vol. 11, no. 6, pp. 804-816, 2003.
DOI
ScienceOn
|
23 |
Nicola Orio, "Music Retrieval: A Tutorial and Review," Foundations and Trends in Information Retrieval, vol. 1, no 1, 1-90, 2006.
DOI
|
24 |
D. Jang, M. Jin and C. D. Yoo, "Music genre classification using novel features and a weighted voting method," in Proc. of ICME, 2008.
|
25 |
J. Stephen Downie, "The Music Information Retrieval Evaluation eXchange (MIREX) Next Generation Project," project prospectus, 2011.
|
26 |
R. Typke, F. Wiering and R. C. Veltkamp, "A survey of music information retrieval systems," in Proc. of ISMIR, pp.153-160, 2005.
|
27 |
G. Tzanetakis, G. Essl and P. Cook, "Automatic musical genre classification of audio signals," in Proc. of Int. Conf. Music Information Retrieval, Bloomington, IN, pp. 205-210, 2001.
|
28 |
R. Typke, P. Giannopoulos, R. C. Veltkamp, F. Wiering and R. V. Oostrum, "Using transportation distances for measuring melodic similarity," in Proc. of Int. Conf. Music Information Retrieval, pp. 107-114, 2003.
|
29 |
G. Poliner, D. Ellis, A. Ehmann, E. Gomez, S. Streich and B. Ong, "Melody transcription from music audio: Approaches and evaluation," IEEE Trans. on Audio, Speech, Language Processing, vol. 15, no. 4, pp. 1247-1256, 2007.
DOI
ScienceOn
|
30 |
S. Jo and C. D. Yoo, "Melody extraction from polyphonic audio based on particle filter," in Proc. of ISMIR, 2010.
|
31 |
D. P.W. Ellis and G. E. Poliner, "Identifying cover songs ith chroma features and dynamic programming beat racking," in Proc. of Int. Conf. Acoustic, Speech and Signal processing, Honolulu, HI, 2007.
|
32 |
J. -S. R. Jang and H.-R. Lee, "A general framework of progressive filtering and its application to query by singing/humming," IEEE Trans. on Audio, Speech, and language Processing, vol. 16, no. 2, pp. 350-358, 2008 .
DOI
ScienceOn
|
33 |
J. S. Seo, M. Jin, S. Lee, D. Jang, S. Lee and C. D. Yoo, "Audio fingerprinting based on normalized spectral subband moments", IEEE Signal Processing letters, vol. 13, issue 4, pp. 209-212, 2006.
DOI
ScienceOn
|