Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals
Supervised learning based methods for source localization, being data driven, can be adapted to different acoustic conditions via training and have been shown to be robust to adverse acoustic environments. In this paper, a convolutional neural network (CNN) based supervised learning method for estimating the direction-of-arrival (DOA) of multiple speakers …