This paper presents a technique to separate the audio signals from their binaural mixtures based on localizing the sources in the space of interaural differences. Two interaural differences ITD (interaural time difference) and/XD (interaural level difference) are used as the principal cues to localize and segregate the sources. Hilbert spectrum is employed to decompose the mixture signals into time-frequency (T-F) space. The sources of the mixtures are considered as disjoint orthogonal in the T-F space. Hilbert spectrum has a better T-F resolution than Fourier based method and hence it produces a better disjoint orthogonality of the sources. The separation efficiency as presented in experimental results using our proposed algorithm is noticeable in this research area.
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