Abstract
Increasing growth and popularity of multimedia resources available on the Web brought the need to provide new, more advanced tools needed for their search. However, searching through multimedia data is highly non-trivial task that requires content-based indexing of the data. Our research is focused on automatic extraction of information about the sound timbre, and indexing sound data with information about musical instrument(s) playing in a given segment. Our goal is to perform automatic classification of musical instrument sound from real recordings for broad range of sounds, independently on the fundamental frequency of the sound.
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Wieczorkowska, A.A., Raś, Z.W. (2005). Do We Need Automatic Indexing of Musical Instruments?. In: Bolc, L., Michalewicz, Z., Nishida, T. (eds) Intelligent Media Technology for Communicative Intelligence. IMTCI 2004. Lecture Notes in Computer Science(), vol 3490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558637_24
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DOI: https://doi.org/10.1007/11558637_24
Publisher Name: Springer, Berlin, Heidelberg
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