Backchannel Generation Model for a Third Party Listener Agent
Author:
Affiliation:
1. Graduate School of Informatics, Kyoto University, Japan
2. rinna Co., Ltd., Japan
Funder
Japan Science and Technology Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3527188.3561926
Reference28 articles.
1. Amalia Istiqlali Adiba Takeshi Homma and Toshinori Miyoshi. 2021. Towards Immediate Backchannel Generation Using Attention-Based Early Prediction Model. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). 7408–7412. Amalia Istiqlali Adiba Takeshi Homma and Toshinori Miyoshi. 2021. Towards Immediate Backchannel Generation Using Attention-Based Early Prediction Model. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). 7408–7412.
2. Daniel Adiwardana Minh-Thang Luong David R So Jamie Hall Noah Fiedel Romal Thoppilan Zi Yang Apoorv Kulshreshtha Gaurav Nemade Yifeng Lu 2020. Towards a human-like open-domain chatbot. arXiv preprint arXiv:2001.09977(2020). Daniel Adiwardana Minh-Thang Luong David R So Jamie Hall Noah Fiedel Romal Thoppilan Zi Yang Apoorv Kulshreshtha Gaurav Nemade Yifeng Lu 2020. Towards a human-like open-domain chatbot. arXiv preprint arXiv:2001.09977(2020).
3. Nicola Cathcart Jean Carletta and Ewan Klein. 2003. A shallow model of backchannel continuers in spoken dialogue. In European ACL. Citeseer 51–58. Nicola Cathcart Jean Carletta and Ewan Klein. 2003. A shallow model of backchannel continuers in spoken dialogue. In European ACL. Citeseer 51–58.
4. Integrating Backchannel Prediction Models into Embodied Conversational Agents
5. Annotation of japanese response tokens and preliminary analysis on their distribution in three-party conversations
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