End-to-End Multi-Microphone Speaker Extraction Using Relative Transfer Functions

• URL: http://arxiv.org/abs/2502.06285v1
• Date: Mon, 10 Feb 2025 09:27:44 GMT
• Title: End-to-End Multi-Microphone Speaker Extraction Using Relative Transfer Functions
• Authors: Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan,
• Abstract summary: 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. Experimental results in challenging acoustic scenarios demonstrate that using spatial cues yields better performance than the spectral-based cue and that the instantaneous outperforms the DOA-based spatial cue.
• Score: 16.402201426448006
• License:
• Abstract: 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.

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