@inproceedings{9914754,
 author = {Kowalk, U. and Doclo, S. and Bitzer, J.},
 title = {Signal-Informed DNN-Based DOA Estimation Combining an External Microphone and GCC-PHAT Features},
 abstract = {Aiming at estimating the direction of arrival (DOA) of a desired speaker in a multi-talker environment using a microphone array, in this paper we propose a signal-informed method exploiting the availability of an external microphone attached to the desired speaker. The proposed method applies a binary mask to the GCC-PHAT input features of a convolutional neural network, where the binary mask is computed based on the power distribution of the external microphone signal. Experimental results for a reverberant scenario with up to four interfering speakers demonstrate that the signal-informed masking improves the localization accuracy, without requiring any knowledge about the interfering speakers.},
 keywords = {signal-informed, source localization, GCC-PHAT, binary masking, external microphone},
 tags = {""},
 booktitle = {2022 International Workshop on Acoustic Signal Enhancement (IWAENC)},
 year = {2022},
 pages = {1-5},
 doi = {10.1109/IWAENC53105.2022.9914754},
}