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Speaker Diarization With Session-Level Speaker Embedding Refinement Using Graph Neural Networks
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Speaker Diarization With Session-Level Speaker Embedding Refinement Using Graph Neural Networks
Deep speaker embedding models have been commonly used as a building block for speaker diarization systems; however, the speaker embedding model is usually trained according to a global loss defined on the training data, which could be sub-optimal for dist
Deep speaker embedding models have been commonly used as a building block for speaker diarization systems; however, the speaker embedding model is usually trained according to a global loss defined on the training data, which could be sub-optimal for dist