1. Pertusa, A.; Iņesta, J.M.
"Multiple fundamental frequency estimation based on spectral pattern loudness and smoothness"
, vol. MIREX 2007 - Music Information Retrieval Evaluation eXchange, MIREX Fundamental Frequency Estimation & Tracking Contest., pp. . Vienna, Austria (2007)
Two multiple fundamental frequency estimation systems
are presented in this work. In the first one (PI1, PI2),
the best fundamental frequency candidates combination is
found in a frame-by-frame analysis by applying a set of
rules, taking into account the spectral smoothness measure
described in this work. The second system (PI3) was
used to extract symbolic features for audio genre classification
in a fast way, so the evaluation of this system can
reveal the potential of another similar approaches to support
these kind of tasks.