2134/5706
Wenwu Wang
Wenwu
Wang
Andrzej Cichocki
Andrzej
Cichocki
Jonathon Chambers
Jonathon
Chambers
A multiplicative algorithm for convolutive non-negative matrix factorization based on squared euclidean distance
Loughborough University
2009
Audio object separation
Convolutive nonnegative matrix factorization
Multiplicative algorithm
Squared Euclidean distance
Mechanical Engineering not elsewhere classified
2009-12-22 16:46:19
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/A_multiplicative_algorithm_for_convolutive_non-negative_matrix_factorization_based_on_squared_euclidean_distance/9575876
Using the convolutive nonnegative matrix factorization (NMF)
model due to Smaragdis, we develop a novel algorithm for matrix decomposition
based on the squared Euclidean distance criterion. The algorithm
features new formally derived learning rules and an efficient update for
the reconstructed nonnegative matrix. Performance comparisons in terms
of computational load and audio onset detection accuracy indicate the advantage
of the Euclidean distance criterion over the Kullback–Leibler divergence
criterion.