|   This page includes many listenings examples issued from our complete computational system for Auditory Scene Analysis (CASA-EM). The system localize, separate and spatialize an arbitrary number of audio sources given only binaural signals. We assume that the short-time spectra of the sources in the mixtures do not overlap significantly, a hypothesis, called Windowed-Disjoint-Orthogonality (WDO). The source separation estimate the filtered sources via clustering of the interaural cues. The two spatialization algorithms (SSPA, MHRTF) simulate a source as originating from any direction of arrival angle (DOA). The examples enables each listener to assess subjectively the performance of spatialization and separation components in the horizonthal plane. |
|   The complete system will be fully describe in a next report available here. The report will contain all theoretical aspects, pratical and implementation recommandations. Simulations results. Possible research orientations to further improve the whole system effectiveness. |
Degenarate Demixing with CASA-EM
Comparison of CASA-EM demixing with other BSS methods (DUET,...)
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Source Spatialization with CASA-EM : Two techniques --> SSPA and MHRTF