Publications:

Year: 2007

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)

Abstract:

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.