Title :
The Ideal Interaural Parameter Mask: A bound on binaural separation systems
Author :
Mandel, Michael I. ; Ellis, Daniel P W
Author_Institution :
Dept. Elec. Eng., Columbia Univ., New York, NY, USA
Abstract :
We introduce the ideal interaural parameter mask as an upper bound on the performance of mask-based source separation algorithms that are based on the differences between signals from two microphones or ears. With two additions to our Model-based EM source separation and localization system, its performance approaches that of the IIPM upper bound to within 0.9 dB. These additions battle the effects of reverberation by absorbing reverberant energy and by forcing the ILD estimate to be larger than it might otherwise be. An oracle reliability measure was also added, in the hope that estimating parameters from more reliable regions of the spectrogram would improve separation, but it was not consistently useful.
Keywords :
source separation; binaural separation systems; ideal interaural parameter mask; localization system; mask-based source separation algorithm; Ear; Histograms; Kernel; Microphones; Reverberation; Signal processing algorithms; Source separation; Spectrogram; Time frequency analysis; Upper bound; Underdetermined source separation; ideal binary mask; reverberation; time-frequency masking;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA '09. IEEE Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
978-1-4244-3678-1
Electronic_ISBN :
1931-1168
DOI :
10.1109/ASPAA.2009.5346506