L-SpEx: Localized Target Speaker Extraction

Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance. Recent studies show that speaker extraction benefits from the location or direction of the target speaker. However, these studies assume that the target speak...

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Bibliographic Details
Published inarXiv.org
Main Authors Ge, Meng, Xu, Chenglin, Wang, Longbiao, Chng, Eng Siong, Dang, Jianwu, Li, Haizhou
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 21.02.2022
Subjects
Audio equipment
Beamforming
Cues
Direction of arrival
Embedding
Feature extraction
Speech recognition
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Summary:Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance. Recent studies show that speaker extraction benefits from the location or direction of the target speaker. However, these studies assume that the target speaker's location is known in advance or detected by an extra visual cue, e.g., face image or video. In this paper, we propose an end-to-end localized target speaker extraction on pure speech cues, that is called L-SpEx. Specifically, we design a speaker localizer driven by the target speaker's embedding to extract the spatial features, including direction-of-arrival (DOA) of the target speaker and beamforming output. Then, the spatial cues and target speaker's embedding are both used to form a top-down auditory attention to the target speaker. Experiments on the multi-channel reverberant dataset called MC-Libri2Mix show that our L-SpEx approach significantly outperforms the baseline system.
ISSN:2331-8422