  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.
