155 citations · 765 across the 63 of their papers we have counts for
11 papers · 1 filter
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation
Akira Taniguchi, Yoshiki Tabuchi, Tomochika Ishikawa +3
Autonomous robots need to learn the categories of various places by exploring their environments and interacting with users. However, preparing training datasets with linguistic in…
Brain-inspired probabilistic generative model for double articulation analysis of spoken language
Akira Taniguchi, Maoko Muro, Hiroshi Yamakawa +1
The human brain, among its several functions, analyzes the double articulation structure in spoken language, i.e., double articulation analysis (DAA). A hierarchical structure in w…
Speak Like a Dog: Human to Non-human creature Voice Conversion
Kohei Suzuki, Shoki Sakamoto, Tadahiro Taniguchi +1
This paper proposes a new voice conversion (VC) task from human speech to dog-like speech while preserving linguistic information as an example of human to non-human creature voice…
Symbol Emergence as Inter-personal Categorization with Head-to-head Latent Word
Kazuma Furukawa, Akira Taniguchi, Yoshinobu Hagiwara +1
In this study, we propose a head-to-head type (H2H-type) inter-personal multimodal Dirichlet mixture (Inter-MDM) by modifying the original Inter-MDM, which is a probabilistic gener…
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
Tadahiro Taniguchi, Yuto Yoshida, Akira Taniguchi +1
Constructive studies on symbol emergence systems seek to investigate computational models that can better explain human language evolution, the creation of symbol systems, and the…
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose, Masashi Okada, Ryo Okumura +1
In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming. Most…