Informed Source Separation using Iterative Reconstruction

Details Informed Source Separation using Iterative Reconstruction Informed Source Separation using Iterative Reconstruction

2012-02-09

arxiv.org/abs/1202.2075v1

Computer Science

Emerging Technologies

submitted to the IEEE transactions on Audio, Speech and Language Processing

Scientific paper

This paper presents a technique for Informed Source Separation (ISS) of a single channel mixture, based on the Multiple Input Spectrogram Inversion method. The reconstruction of the source signals is iterative, alternating between a time- frequency consistency enforcement and a re-mixing constraint. A dual resolution technique is also proposed, for sharper transients reconstruction. The two algorithms are compared to a state-of-the-art Wiener-based ISS technique, on a database of fourteen monophonic mixtures, with standard source separation objective measures. Experimental results show that the proposed algorithms outperform both this reference technique and the oracle Wiener filter by up to 3dB in distortion, at the cost of a significantly heavier computation.

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