書誌事項
- タイトル別名
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- Generating a Variety of Backchannels Based on Linguistic and Prosodic Features for Attentive Listening Agents
- ケイチョウ タイワ システム ノ タメ ノ ゲンゴ ジョウホウ ト インリツ ジョウホウ ニ モトズク タヨウ ナ ケイタイ ノ アイズチ ノ セイセイ
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抄録
<p>There is a growing interest in conversation agents which conduct attentive listening. However, the current conversation agents always generate the same or limited form of backchannels every time, giving a monotonous impression. We have investigated generation of a variety of backchannels according to the dialogue context using the corpus of counseling dialogue. At first, we annotate all acceptable backchannel form categories considering the arbitrary nature of backchannels. Then, we conduct machine learning to predict a backchannel form from the linguistic and prosodic features of the preceding context. This model outperformed the method which always outputs the same form of backchannels and also the method which randomly generates backchannels. Finally, subjective evaluations by human listeners show that the proposed method generates backchannels more naturally giving a feeling of understanding and empathy.</p>
収録刊行物
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- 人工知能学会研究会資料 言語・音声理解と対話処理研究会
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人工知能学会研究会資料 言語・音声理解と対話処理研究会 76 (0), 09-, 2016-02-26
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390007050485820544
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- NII論文ID
- 40020797677
- 130008057692
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- NII書誌ID
- AN10432166
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- ISSN
- 24364576
- 09185682
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- NDL書誌ID
- 027128333
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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
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用可