Papers with temporal-based and

1 papers
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models (L18-1)

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Challenge: Existing methods for speaker modeling are based on hand-crafted statistics and ad hoc to a certain application.
Approach: They propose to use speaker classification as a surrogate task for general speaker modeling and collect massive data to facilitate research in this direction.
Outcome: The proposed models outperform the existing models and are feasible with speaker identity information.

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