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- W2963897404 abstract "In this paper, we address the problem of speaker classification in multi-party conversation, and collect massive data to facilitate research in this direction. We further investigate temporal-based and content-based models of speakers, and propose several hybrids of them. Experiments show that speaker classification is feasible, and that hybrid models outperform each single component." @default.
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- W2963897404 date "2018-04-29" @default.
- W2963897404 modified "2023-09-23" @default.
- W2963897404 title "Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models" @default.
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