Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue

Autor: Koji Inoue, Divesh Lala, Tatsuya Kawahara

Publikováno v: Frontiers in Robotics and AI, Vol 9 (2022)

Spoken dialogue systems must be able to express empathy to achieve natural interaction with human users. However, laughter generation requires a high level of dialogue understanding. Thus, implementing laughter in existing systems, such as in convers

Externí odkaz: https://doaj.org/article/293894bfa6184416a003725e38bfe236

Domain and Language Adaptation Using Heterogeneous Datasets for Wav2vec2.0-Based Speech Recognition of Low-Resource Language

Autor: Kak Soky, Sheng Li, Chenhui Chu, Tatsuya Kawahara

Publikováno v: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0c1920d7673dc22d5cff7bb50b566e2
https://doi.org/10.1109/icassp49357.2023.10095644

Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering

Autor: Yicheng Du, Robin Scheibler, Masahito Togami, Kazuyoshi Yoshii, Tatsuya Kawahara

Publikováno v: IEEE Signal Processing Letters. 29:927-931

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::396dc340df54c966f7939e9a937526aa
https://doi.org/10.1109/lsp.2021.3134939

I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue

Autor: Yuanchao Li, Koji Inoue, Leimin Tian, Changzeng Fu, Carlos Toshinori Ishi, Hiroshi Ishiguro, Tatsuya Kawahara, Catherine Lai

Publikováno v: Li, Y, Inoue, K, Tian, L, Fu, C, Ishi, C, Ishiguro, H, Kawahara, T & Lai, C 2023, I Know Your Feelings Before You Do : Predicting Future Affective Reactions in Human-Computer Dialogue . in The ACM CHI Conference on Human Factors in Computing Systems ., 166, pp. 1-7, Computer Human Interaction (CHI) 2023, Hamburg, Germany, 23/04/23 . https://doi.org/10.1145/3544549.3585869

Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only after receiving user speech. To achieve human-like dialogue, we propose a novel future prediction architecture that allows an SDS to anticipate future affective

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df0cc62bd85cf4f584dcf0ef8050b7e3
http://arxiv.org/abs/2303.00146

Synthesizing waveform sequence-to-sequence to augment training data for sequence-to-sequence speech recognition

Autor: Tatsuya Kawahara, Sei Ueno, Masato Mimura, Shinsuke Sakai

Publikováno v: Acoustical Science and Technology. 42:333-343

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::597b49ad4ca21a3e236044132432c466
https://doi.org/10.1250/ast.42.333