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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; Taniguchi, Tadahiro. - : arXiv, 2022 Abstract: Human infants acquire their verbal lexicon from minimal prior knowledge of language based on the statistical properties of phonological distributions and the co-occurrence of other sensory stimuli. In this study, we propose a novel fully unsupervised learning method discovering speech units by utilizing phonological information as a distributional cue and object information as a co-occurrence cue. The proposed method can not only (1) acquire words and phonemes from speech signals using unsupervised learning, but can also (2) utilize object information based on multiple modalities (i.e., vision, tactile, and auditory) simultaneously. The proposed method is based on the Nonparametric Bayesian Double Articulation Analyzer (NPB-DAA) discovering phonemes and words from phonological features, and Multimodal Latent Dirichlet Allocation (MLDA) categorizing multimodal information obtained from objects. In the experiment, the proposed method showed higher word discovery performance than the baseline methods. In ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Robotics cs.RO URL: https://dx.doi.org/10.48550/arxiv.2201.06786 https://arxiv.org/abs/2201.06786 BASE Hide 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. - : arXiv, 2018 BASE Show 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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