2020
Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks
ICASSP 2020accepted
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 suboptimal for distinguishing speakers locally in a specific meet…