This paper introduces a multi-microphone method for extracting a desired speaker from a mixture involving multiple speakers and directional noise in a reverberant environment. In this work, we propose leveraging the instantaneous relative transfer function (RTF), estimated from a reference utterance recorded in the same position as the desired source. The effectiveness of the RTF-based spatial cue is compared with direction of arrival (DOA)-based spatial cue and the conventional spectral embedding. Experimental results in challenging acoustic scenarios demonstrate that using spatial cues yields better performance than the spectral-based cue and that the instantaneous RTF outperforms the DOA-based spatial cue.
View on arXiv@article{eisenberg2025_2502.06285,
title={ End-to-End Multi-Microphone Speaker Extraction Using Relative Transfer Functions },
author={ Aviad Eisenberg and Sharon Gannot and Shlomo E. Chazan },
journal={arXiv preprint arXiv:2502.06285},
year={ 2025 }
}