Papers by Yoichi Matsuyama

1 papers
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System (2020.coling-main)

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Challenge: In smart speakers and conversational robots, the demand for expressive speech synthesis has increased.
Approach: They propose to annotate a news dataset with emotion labels for each sentence and to evaluate its effectiveness using the constructed dataset.
Outcome: The proposed method improves the performance of the proposed model by preferentially annotating news articles with low confidence in the human-in-the-loop machine learning framework.

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