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        <title>An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System</title>
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    <name type="personal">
        <namePart type="given">Taketo</namePart>
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    <name type="personal">
        <namePart type="given">Mai</namePart>
        <namePart type="family">Yamanaka</namePart>
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    <name type="personal">
        <namePart type="given">Akinori</namePart>
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    <abstract>This paper explores the effect of emotional speech synthesis on a spoken dialogue system when the dialogue is non-task-oriented. Although the use of emotional speech responses have been shown to be effective in a limited domain, e.g., scenario-based and counseling dialogue, the effect is still not clear in the non-task-oriented dialogue such as voice chatting. For this purpose, we constructed a simple dialogue system with example- and rule-based dialogue management. In the system, two types of emotion labeling with emotion estimation are adopted, i.e., system-driven and user-cooperative emotion labeling. We conducted a dialogue experiment where subjects evaluate the subjective quality of the system and the dialogue from the multiple aspects such as richness of the dialogue and impression of the agent. We then analyze and discuss the results and show the advantage of using appropriate emotions for the expressive speech responses in the non-task-oriented system.</abstract>
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    <identifier type="doi">10.18653/v1/W18-5044</identifier>
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%0 Conference Proceedings
%T An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System
%A Chiba, Yuya
%A Nose, Takashi
%A Kase, Taketo
%A Yamanaka, Mai
%A Ito, Akinori
%S Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
%D 2018
%8 jul
%I Association for Computational Linguistics
%C Melbourne, Australia
%F chiba-etal-2018-analysis
%X This paper explores the effect of emotional speech synthesis on a spoken dialogue system when the dialogue is non-task-oriented. Although the use of emotional speech responses have been shown to be effective in a limited domain, e.g., scenario-based and counseling dialogue, the effect is still not clear in the non-task-oriented dialogue such as voice chatting. For this purpose, we constructed a simple dialogue system with example- and rule-based dialogue management. In the system, two types of emotion labeling with emotion estimation are adopted, i.e., system-driven and user-cooperative emotion labeling. We conducted a dialogue experiment where subjects evaluate the subjective quality of the system and the dialogue from the multiple aspects such as richness of the dialogue and impression of the agent. We then analyze and discuss the results and show the advantage of using appropriate emotions for the expressive speech responses in the non-task-oriented system.
%R 10.18653/v1/W18-5044
%U https://aclanthology.org/W18-5044
%U https://doi.org/10.18653/v1/W18-5044
%P 371-375

Markdown (Informal)

[An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System](https://aclanthology.org/W18-5044) (Chiba et al., 2018)

• An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System (Chiba et al., 2018)

ACL

• Yuya Chiba, Takashi Nose, Taketo Kase, Mai Yamanaka, and Akinori Ito. 2018. An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pages 371–375, Melbourne, Australia. Association for Computational Linguistics.