Papers by Yuta Matsunaga
Personalized Filled-pause Generation with Group-wise Prediction Models (2022.lrec-1)
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| Challenge: | Disfluency generation is a method to generate personalized filled pauses (FPs) compared with fluent text generation, it is difficult to predict them because of the sparsity of position and frequency difference between more and less frequently used FPs. |
| Approach: | They propose a method to generate personalized filled pauses (FPs) by group-wise prediction models. |
| Outcome: | The proposed method generates personalized filled pauses (FPs) with group-wise prediction models. |