On Performance of Two-Sensor Sound Separation Methods Including Binaural Processors

Human beings have binaural inputs to separate and localize sound sources. Those two functions of binaural hearing can not be easily transformed to the computational methods. In this paper, three conventional methods to separate target signal from interfering noise are compared. Those methods include a binaural model, an indepen- dent component analysis (ICA) and a time-frequency masking applied to ICA. Performances were compared by means of spectrograms as well as coherence.

Above is abstract of my paper presented in ASJ Kyushu Chapter, November 25, 2011, in Oita – Japan. You can see the poster below (click to enlarge).

Full paper is available by request.

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