  The problem of multi-speaker localization is formulated as a multi-class
multi-label classification problem, which is solved using a convolutional
neural network (CNN) based source localization method. Utilizing the common
assumption of disjoint speaker activities, we propose a novel method to train
the CNN using synthesized noise signals. The proposed localization method is
evaluated for two speakers and compared to a well-known steered response power
method.
