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Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin
Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin
Conference papers
Commercially recorded music since the 1950s has been mixed down from many input sound sources to a two-channel reproduction of these sources. The effect of this approach is to assign sources to locations in a stereo field using a pan-position for each source. The Adress algorithm is a popular way of extracting individual music sound sources from a stereo mixture. A drawback of the Adress algorithm is that when time-frequency components in the stereo mixture are shared between two or more sources, calculating the inter-aural intensity scaling parameter for each source for that time-frequency component is challenging. We show how …
Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin
Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin
Conference papers
Commercially recorded music since the 1950s has been mixed down from many input sound sources to a two- channel reproduction of these sources. The effect of this approach is to assign sources to locations in a stereo field using a pan- position for each source. The Adress algorithm is a popular way of extracting individual music sound sources from a stereo mixture. A drawback of the Adress algorithm is that when time- frequency components in the stereo mixture are shared between two or more sources, calculating the inter-aural intensity scaling parameter for each source for that time-frequency component is challenging. …
Clustering Nmf Basis Functions Using Shifted Nmf For Monaural Sound Source Separation, Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugene Coyle, Scott Rickard
Clustering Nmf Basis Functions Using Shifted Nmf For Monaural Sound Source Separation, Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugene Coyle, Scott Rickard
Conference papers
Non-negative Matrix Factorization (NMF) has found use in single
channel separation of audio signals, as it gives a parts-based decom-
position of audio spectrograms where the parts typically correspond
to individual notes or chords. However, a notable shortcoming of
NMF is the need to cluster the basis functions to their sources af-
ter decomposition. Despite recent improvements in algorithms for
clustering the basis functions to sources, much work still remains to
further improve these algorithms. To this end we present a novel
clustering algorithm which overcomes some of the limitations of
previous clustering methods. This involves the use of Shifted …