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    • Taniguchi, Akira (10)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ... Taniguchi, Akira; Murakami, Hiroaki; Ozaki, Ryo. - : arXiv, 2022 BASE Show details 2 StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition ... Sakamoto, Shoki; Taniguchi, Akira; Taniguchi, Tadahiro. - : arXiv, 2021 BASE Show details 3 Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances ... Sagara, Rikunari; Taguchi, Ryo; Taniguchi, Akira. - : Taylor & Francis, 2021 BASE Show details 4 Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances ... Sagara, Rikunari; Taguchi, Ryo; Taniguchi, Akira. - : Taylor & Francis, 2021 BASE Show details 5 Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference ... Hagiwara, Yoshinobu; Furukawa, Kazuma; Taniguchi, Akira. - : arXiv, 2021 BASE Show details 6 Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances ... Sagara, Rikunari; Taguchi, Ryo; Taniguchi, Akira. - : arXiv, 2021 BASE Show details 7 Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments Katsumata, Yuki; Taniguchi, Akira; Hagiwara, Yoshinobu... In: Front Robot AI (2019) BASE Show details 8 Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping ... Taniguchi, Akira; Hagiwara, Yoshinobu; Taniguchi, Tadahiro; Inamura, Tetsunari. - : arXiv, 2018 Abstract: We propose a novel online learning algorithm, called SpCoSLAM 2.0, for spatial concepts and lexical acquisition with high accuracy and scalability. Previously, we proposed SpCoSLAM as an online learning algorithm based on unsupervised Bayesian probabilistic model that integrates multimodal place categorization, lexical acquisition, and SLAM. However, our original algorithm had limited estimation accuracy owing to the influence of the early stages of learning, and increased computational complexity with added training data. Therefore, we introduce techniques such as fixed-lag rejuvenation to reduce the calculation time while maintaining an accuracy higher than that of the original algorithm. The results show that, in terms of estimation accuracy, the proposed algorithm exceeds the original algorithm and is comparable to batch learning. In addition, the calculation time of the proposed algorithm does not depend on the amount of training data and becomes constant for each step of the scalable algorithm. Our ... : Accepted to Autonomous Robots (24 January 2020) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Robotics cs.RO URL: https://arxiv.org/abs/1803.03481 https://dx.doi.org/10.48550/arxiv.1803.03481 BASE Hide details 9 Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping ... Taniguchi, Akira; Hagiwara, Yoshinobu; Taniguchi, Tadahiro. - : arXiv, 2017 BASE Show details 10 Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences ... Taniguchi, Akira; Taniguchi, Tadahiro; Inamura, Tetsunari. - : arXiv, 2016 BASE Show details

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