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2002 IEEE Workshop on Multimedia Signal Processing. 2002

DOI: 10.1109/mmsp.2002.1203293

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Similarity matching of continuous melody contours for humming querying of melody databases

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,

Mohan Kankanhalli²,

Abstract: Music query-by-humming is a challenging problem

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Cited by 4 publications

References 12 publications

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Multi-band sum of spectrogram based audio fingerprinting of Indian film songs for multi-lingual song retrieval

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²

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et al. 2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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Multi-band sum of spectrogram based audio fingerprinting of Indian film songs for multi-lingual song retrieval

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,

²

,

³

et al. 2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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Robust and efficient pitch tracking for query-by-humming

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2003

Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conferenc

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Several query-by-humming techniques have been propsed for content-based music retrieval. Reliable pitch extraction fiom humming is critical for such music retrieval systems to work well. Previous pitch detection methods are based on music note segmentation. Such methods require a user to separate each music note with silence or hum with speciiic syllables; otherwise the segmentation errors can seriously deteriorate pitch detection. This paper presents a pitch tracking method using a region growing approach, which does no rely on note segmentation. A novel harmonic analysis technique is proposed to efficiently group the partials of a harmonic in the power spectrum. The pitch tracking method operates by initially finding the frames with reliable pitch and subsequently finalizing the pitch detection by growing the pitch region. Experimental results show that the proposed method has high robustness and accuracy for continuous pitch contour extraction.

A Music Information System Based on Improved Melody Contour Extraction

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²

2010

2010 International Conference on Signal Acquisition and Processing

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