Broadband DOA estimation using Convolutional neural networks trained with noise signals

2 May 2017Soumitro ChakrabartyEmanuël. A. P. Habets

A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients of the received microphone signals are directly fed into the CNN and the features required for DOA estimation are learnt during training. Since only the phase component of the input is used, the CNN can be trained with synthesized noise signals, thereby making the preparation of the training data set easier compared to using speech signals... (read more)

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