Papers by Matthew Roddy
Neural Generation of Dialogue Response Timings (2020.acl-main)
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| Challenge: | Using neural models, the timings of spoken response offsets in human dialogue can vary based on contextual elements of the dialogue. |
| Approach: | They propose neural models that simulate the distributions of response offsets taking into account the response turn as well as the preceding turn. |
| Outcome: | The proposed models can generate distributions of response offsets based on the response turn and preceding turn based upon human listening tests and offline experiments. |