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May 15, 2024 · We develop a convolutional neural network model to adapt the robot's speech parameters to different users and spaces, while taking into account the influence ...
May 15, 2024 · Abstract—Spoken language interaction is at the heart of inter- personal communication, and people flexibly adapt their speech.
May 19, 2024 · We conducted a speech comprehension study involving 39 participants who were exposed to different environmental and contextual conditions.
May 18, 2024 · No More Mumbles: Enhancing Robot Intelligibility Through Speech Adaptation. January 2024; IEEE Robotics and Automation Letters PP(99):1-8.
May 25, 2024 · No More Mumbles: Enhancing Robot Intelligibility Through Speech Adaptation (May, 2024). Spoken language interaction is at the heart of ...
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Soundscape Captioning using Sound Affective Quality Network and Large Language Model · No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation.
Jul 15, 2024 · We aim to bring together robot designers, interaction scholars and those working in generative sound and voice that can be embedded into robotic systems.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot …, 2023. 2, 2023. No More Mumbles: Enhancing Robot Intelligibility Through Speech ...
No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation ... by the robot in contrast to utterances in a more seriously neutral tone. To ...
Qiaoqiao Ren , Yuanbo Hou , Dick Botteldooren , Tony Belpaeme : No More Mumbles: Enhancing Robot Intelligibility Through Speech Adaptation. IEEE Robotics Autom.