書誌事項
- タイトル別名
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- Estimation of Response Timing by Generative Model and Parameter Control of Response Substantialness Using Dynamic-Prompt-Tune
抄録
<p>A spoken dialogue system is required to continuously listen to a human user for smooth conversation. We propose a method that simultaneously performs response generation and response timing estimation. Our proposed method estimates response timing by adding pseudo-samples where response should be irrelevant, which allows using text-only conversation dataset without audio information. Furthermore, our proposed method can control substantialness of responses by user-specified parameter integrated with the Dynamic-Prompt-Tune method, which uses prompt token embedding dynamically generated from the parameter. Our automatic and manual evaluation showed that the proposed method can generate responses with more natural timing and more in line with the response substantialness parameter compared to the baseline model.</p>
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 39 (3), IDS6-C_1-8, 2024-05-01
一般社団法人 人工知能学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390299993933121536
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可