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arXiv · 2609.00648

Human-robot conversation with multiple participants in noisy public spaces

Divesh Lala·Yogeeswaran Muthukumaran·Vincent Fernandes·Kazushi Kato·Shota Fujiki·Zihao Chi·Masaya Iwasaki·Taiken Shintani·Megumi Kawata·Kazuki Sakai·Koji Inoue·Yuicihiro Yoshikawa·Tatsuya Kawahara
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Abstract

For noisy real-world environments such as those in open public spaces, spoken dialogue systems for both autonomous robots and avatars should be carefully designed to provide enhanced speech signals. These signals can be used either for speech recognition or, in the case of an avatar system, transmitted as clean speech to a remote operator. This work proposes an audio system that can be used for both these scenarios and was demonstrated as a proof-of-concept at the 2025 World Expo in Osaka. The first scenario is an attentive listening system with the android ERICA, and the second is a conversation support system with mobile Teleco robots, with one of them acting as an avatar for a remote operator. Both systems feature multi-party conversation and use a single multi-channel microphone array. We describe how our audio system not only enhances the speech of multiple speakers in a noisy environment, but provides a form of spatial audio which allows for more immersiveness in avatar-based conversational interactions.

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Divesh Lala, Yogeeswaran Muthukumaran, Vincent Fernandes, Kazushi Kato, Shota Fujiki, Zihao Chi, Masaya Iwasaki, Taiken Shintani, Megumi Kawata, Kazuki Sakai, Koji Inoue, Yuicihiro Yoshikawa, Tatsuya Kawahara. 2026-09-01. Human-robot conversation with multiple participants in noisy public spaces. https://arxiv.org/abs/2609.00648

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