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Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios
We propose a modified teacher-student training for the extraction of frame-wise speaker embeddings that allows for an effective diarization of meeting scenarios containing partially overlapping speech.
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures
We introduce a monaural neural speaker embeddings extractor that computes an embedding for each speaker present in a speech mixture.
Frame-wise and overlap-robust speaker embeddings for meeting diarization
Using a Teacher-Student training approach we developed a speaker embedding extraction system that outputs embeddings at frame rate.
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