Abstract
In this paper we present a method for smoothing the pitch sequence to remove the outliers caused by pitch tracking method and errors in sung/hummed voice. This approach is used for constructing a query by singing/humming system. After the pitch sequence is smoothed, the continuous pitch contour is calculated. Then, this feature can be used with Dynamic Time Warping (DTW) matching to compute the difference score between the each query and song. Experimental result of this method on TCS Corpus for query by Singing/Humming will be reported and discussed in detail in this paper.
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References
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© 2008 Springer-Verlag Berlin Heidelberg
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Nguyen Truong Duc, T., Le Nhat, M., Nguyen Duc Hoang, H., Vu Hai, Q. (2008). Continuous Pitch Contour as an Improvement Feature for Music Information Retrieval by Humming/Singing. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_111
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DOI: https://doi.org/10.1007/978-3-540-89197-0_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89196-3
Online ISBN: 978-3-540-89197-0
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