A post-tracking step that reassigns track identities using beamformed speaker embeddings improves identity assignment for intermittent and moving speakers in simulated two-speaker scenes.
Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition,
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Speaker Embeddings to Improve Tracking of Intermittent and Moving Speakers
A post-tracking step that reassigns track identities using beamformed speaker embeddings improves identity assignment for intermittent and moving speakers in simulated two-speaker scenes.