Analyses of Example Sentences Collected by Conversation for Example-Based Non-Task-Oriented Dialog System
Analyses of Example Sentences Collected by Conversation for Example-Based Non-Task-Oriented Dialog System
复制标题
基于实例的非任务型对话系统对话采集例句分析
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Akinori Ito
中科院分区：
文献类型：
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作者：
Yukiko Kageyama;Yuya Chiba;Takashi Nose;Akinori Ito
设计示例数据库对于在基于示例的对话系统中处理各种用户的话语非常重要，并且已经提出了几种构建数据库的方法。本文重点研究一种通过与系统的实际对话来收集例句的方法。一些研究采用这种方法来构建对话系统，但传统研究缺乏细致的分析。在本研究中，我们分析了从交互中可以收集多少个示例，并调查了收集的示例的特征。实验结果表明，响应精度随着交互次数的增加而提高，并且所测试的收集方法对于收集连续话语的示例是有效的。此外，通过对话实验对使用实际对话构建的数据库和完全手工制作的数据库进行了主观评价。结果表明，在用户满意度、对话参与度、智力和谈话意图方面，所检查的方法比比较方法可以获得更高的主观得分。
Designing an example database is important for handling various users’ utterances in an example-based dialog system, and several approaches to constructing the database have been proposed. This paper focuses on a method for collecting the example sentences through actual conversations with the system. Several studies employ this approach for constructing the dialog system, but conventional research lacks attentive analyses. In this study, we analyzed how many examples can be collected from the interactions, and investigated the characteristics of the collected examples. The experimental results show that the response accuracy improved with the increase in number of the interactions, and the examined collection method is effective for collecting examples of consecutive utterances. In addition, subjective evaluation comparing the databases constructed using actual conversation and the fully-handcrafted databases was conducted through dialog experiments. The results showed that the examined approach can obtain higher subjective scores than the comparative approach in terms of user satisfaction, dialog engagement, intelligence, and intention of talking.
DOI：
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发表时间：
2015-06
期刊：
ArXiv
影响因子：
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作者：
O. Vinyals;Quoc V. Le
通讯作者：
O. Vinyals;Quoc V. Le
基于隐半马尔可夫模型的语音合成
DOI：
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发表时间：
2004
期刊：
Proc.the 8th Internatinal Conference on Spoken Language Processing, INTERSPEECH 2004-ICSLP II
影响因子：
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作者：
Makoto Tachibana;Katsumi Ogata;Junichi Yamagishi;Yuji Nakano;Makoto Tachibana;緒方克海;山岸順一;中野雄資;Junichi Yamagishi;Makoto Tachibana;Junichi Yamagishi;Dhany Arifianto;Juri Isogai;Makoto Tachibana;磯貝 朱里;橘 誠;山岸 順一;磯貝 朱里;橘 誠;野村 大輔;中野 雄資;能勢 隆;橘 誠;磯貝 朱里;小林 隆夫;Junichi Yamagishi;Makoto Tachibana;Junichi Yamagishi;Dhany Arifianto;Juri Isogai;Makoto Tachibana;Juri Isogai;Makoto Tachibana;Junichi Yamagishi;Juri Isogai;Makoto Tachibana;Daisuke Nomura;Yuji Nakano;Takashi Nose;Makoto Tachibana;Juri Isogai;Takao Kobayashi;Junichi Yamagishi;Dhany Arifianto;Juri Isogai;Makoto Tachibana;磯貝朱里;小林隆夫;磯貝朱里;中野雄資;川島啓吾;山岸順一;磯貝朱里;橘 誠;野村大輔;Dhany Arifianto;Junichi Yamagishi;Makoto Tachibana;Junichi Yamagishi;Junichi Yamagishi;Heiga Zen;Keisuke Miyanaga;宮永 圭介;尾関 創;山岸 順一;全 炳河;山岸 順一;橘 誠;参納 大樹;尾関 創;山岸 順一;橘 誠;Dhany Arifianto;Junichi Yamagishi;Makoto Tachibana;Junichi Yamagishi;Junichi Yamagishi;Heiga Zen
通讯作者：
Heiga Zen
具有成人和儿童区分能力的公共语音引导系统
DOI：
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发表时间：
2004
期刊：
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004) Vol.I
影响因子：
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作者：
Ryuichi Nishimura;Akinobu Lee;Hiroshi Saruwatari;Kiyohiro Shikano
通讯作者：
Kiyohiro Shikano