Papers by Bing’er Jiang

2 papers
Multilingual Turn-taking Prediction Using Voice Activity Projection (2024.lrec-main)

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Challenge: a monolingual model does not make good predictions when applied to other languages, but a multilingual model is able to discern the language of the input signal.
Approach: They propose to use a multilingual voice activity projection model to predict voice activities of spoken dialogue participants in English, Mandarin, and Japanese data.
Outcome: The proposed model predicts the upcoming voice activities of participants in dyadic dialogue on multilingual data, encompassing English, Mandarin, and Japanese.
Response-conditioned Turn-taking Prediction (2023.findings-acl)

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Challenge: Traditionally, turn-taking is done using a simple silence threshold, but more modern approaches use cues known to be important in human-human turn-shifts.
Approach: They propose a turn-taking and response-ranking model that conditions the end-of-turn prediction on conversation history and what the next speaker wants to say.
Outcome: The proposed model outperforms the baseline model in a variety of metrics.

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