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The separation of single-channel underwater acoustic signals is a challengingproblem with practical significance. Few existing studies focus on the sourceseparation problem with unknown numbers of signals, and how to evaluate theperformances of the systems is not yet clear. We propose a solution with afixed number of output channels to address these two problems, enabling it toavoid the dimensional disaster caused by the permutation problem induced by thealignment of outputs to targets. Specifically, we propose a two-step algorithmbased on autoencoders and a new performance evaluation method for situationswith mute channels. Experiments conducted on simulated mixtures of radiatedship noise show that the proposed solution can achieve similar separationperformance to that attained with a known number of signals. The proposedalgorithm achieved competitive performance as two algorithms developed forknown numbers of signals, which is highly explainable and extensible and getthe state of the art under this framework.

Source Separation of Unknown Numbers of Single-Channel Underwater Acoustic Signals Based on Autoencoders