Broadband DOA Estimation Using Convolutional Neural Networks Trained with Noise Signals

A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase com-ponent of the short-time Fourier transform coefficients of the re-ceived microphone signals are directly fed into the CNN and the features required for DOA estimation are learned during training.