TY - GEN
T1 - Robust music identification, detection, and analysis
AU - Mohri, Mehryar
AU - Moreno, Pedro
AU - Weinstein, Eugene
PY - 2007
Y1 - 2007
N2 - In previous work, we presented a new approach to music identification based on finite-state transducers and Gaussian mixture models. Here, we expand this work and study the performance of our system in the presence of noise and distortions. We also evaluate a song detection method based on a universal background model in combination with a support vector machine classifier and provide some insight into why our transducer representation allows for accurate identification even when only a short song snippet is available.
AB - In previous work, we presented a new approach to music identification based on finite-state transducers and Gaussian mixture models. Here, we expand this work and study the performance of our system in the presence of noise and distortions. We also evaluate a song detection method based on a universal background model in combination with a support vector machine classifier and provide some insight into why our transducer representation allows for accurate identification even when only a short song snippet is available.
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M3 - Conference contribution
AN - SCOPUS:67651107652
SN - 9783854032182
T3 - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
SP - 135
EP - 138
BT - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
T2 - 8th International Conference on Music Information Retrieval, ISMIR 2007
Y2 - 23 September 2007 through 27 September 2007
ER -