IDENTIFYING WORDS THAT ARE MUSICALLY MEANINGFUL
David A. Torres, Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet · 2008
A musically meaningful vocabulary is one of the keystones in building a computer audition system that can model the semantics of audio content. If a word in the vocabulary is inconsistently used by human annotators, or the word is not clearly represented by the underlying acoustic representation, the word can be considered as noisy and should be removed from the vocabulary to denoise the modeling process. This paper proposes an approach to construct a vocabulary of predictive semantic concepts based on sparse canonical component analysis (sparse CCA). Experimental results illustrate that, by identifying musically meaningful words, we can improve the performance of a previously proposed computer audition system for music annotation and retrieval. 1