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A Memory Augmented Architecture For Continuous Speaker Identification In Meetings

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IEEE ICASSP 2020 Virtual Conference May 2020

We introduce and analyze a novel approach to the problem of speaker identification in multi-party recorded meetings. Given a speech segment and a set of available candidate profiles, a data-driven approach is proposed learning the distance relations betwe

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A Memory Augmented Architecture For Continuous Speaker Identification In Meetings

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We introduce and analyze a novel approach to the problem of speaker identification in multi-party recorded meetings. Given a speech segment and a set of available candidate profiles, a data-driven approach is proposed learning the distance relations betwe