no code implementations • 4 Nov 2018 • Kohki Mametani, Tsuneo Kato, Seiichi Yamamoto
Recent studies have introduced end-to-end TTS, which integrates the production of context and acoustic features in statistical parametric speech synthesis.
no code implementations • WS 2017 • Tsuneo Kato, Atsushi Nagai, Naoki Noda, Ryosuke Sumitomo, Jianming Wu, Seiichi Yamamoto
Recursive autoencoders (RAEs) for compositionality of a vector space model were applied to utterance intent classification of a smartphone-based Japanese-language spoken dialogue system.
no code implementations • COLING 2016 • Graham Wilcock, Kristiina Jokinen, Seiichi Yamamoto
We demonstrate a bilingual robot application, WikiTalk, that can talk fluently in both English and Japanese about almost any topic using information from English and Japanese Wikipedias.
no code implementations • LREC 2016 • AlBara Khalifa, Tsuneo Kato, Seiichi Yamamoto
Dialogue robots are attractive to people, and in language learning systems, they motivate learners and let them practice conversational skills in more realistic environment.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • LREC 2016 • Ichiro Umata, Koki Ijuin, Mitsuru Ishida, Moe Takeuchi, Seiichi Yamamoto
The listener{'}s gazing activities during utterances were analyzed in a face-to-face three-party conversation setting.
no code implementations • LREC 2014 • Xiaoyun Wang, Jinsong Zhang, Masafumi Nishida, Seiichi Yamamoto
This paper describes a method of generating a reduced phoneme set for dialogue-based computer assisted language learning (CALL)systems.
no code implementations • LREC 2012 • Shota Yamasaki, Hirohisa Furukawa, Masafumi Nishida, Kristiina Jokinen, Seiichi Yamamoto
We collected a multimodal corpus of multi-party conversations in English as the second language to investigate the differences in communication styles.