The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Prediction and generation of backchannel form for attentive listening systems,
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“In contrast to these prosodic variations, Kawahara et al. (2016) varied the morphological form of Japanese backchannels through repetition/reduplication ('un, ' 'un un, ' 'un un un'; cf. Allwood, 1988) and showed that the variant to use can be predicted by the boundary type of the preceding clause and by the syntactic complexity of the preceding utterance (number of phrases).”
From Modeling Feedback in Interaction With Conversational Agents—A Review (2022) · cites this paper as Kawahara et al., 2016
Citations
Cites
Corpus of Spontaneous Japanese : Its design and evaluation
Maekawa, K. (2003) · Medical Entomology and Zoology · Cited by 379
Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts
Özkan, D., & Morency, L. (2011) · Cited by 15
Cited by
Spoken Dialogue System for a Human-like Conversational Robot ERICA
Kawahara, T. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-9443-0_6 · Cited by 51
Self-citationPrediction of Turn-taking Using Multitask Learning with Prediction of Backchannels and Fillers
Hara, K., Inoue, K., Takanashi, K., & Kawahara, T. (2018) · Interspeech (USB) · doi:10.21437/interspeech.2018-1442 · Cited by 47
Self-citationModeling Feedback in Interaction With Conversational Agents—A Review
Axelsson, A., Buschmeier, H., & Skantze, G. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.744574 · Cited by 45
“In contrast to these prosodic variations, Kawahara et al. (2016) varied the morphological form of Japanese backchannels through repetition/reduplication (“un,” “un un,” “un un un”; cf. Allwood, 1988) and showed that the variant to use can be predicted by the boundary type of the preceding clause…”
BackgroundCho, E., Motalebi, N., Sundar, S. S., & Abdullah, S. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555164 · Cited by 39
An Attentive Listening System with Android ERICA: Comparison of Autonomous and WOZ Interactions
Inoue, K., Lala, D., Yamamoto, K., Nakamura, S., Takanashi, K., & Kawahara, T. (2020) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/2020.sigdial-1.15 · Cited by 34
Self-citation
Metadata
- Authors
- Kawahara, T., Yamaguchi, T., Inoue, K., Takanashi, K., & Ward, N.
- Affiliations
- Kyoto University (JP)
- Venue
- Interspeech 2016
- Publisher
- ISCA
- Published
- 2016-09-08
- Pages
- 2890-2894
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2513669042
- Cited by
- 51
- References
- 2
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 9 · 2022: 10 · 2021: 8 · 2020: 4 · 2019: 5 · 2018: 4 · 2017: 2 · 2016: 1
- FWCI
- 3.53
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- attentive listening, conversational speech
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
