Takaaki Hori
Papers
1
Total Citations
3
H-Index
1
About
Takaaki Hori is a leading researcher in spoken language processing, with a particular focus on advancing automatic speech recognition (ASR) technologies for humanoid robots and interactive agents. His work bridges computational models and learning theories to enable more natural human-machine communication through speech. While his 2006 paper "Research frontier - Advanced computational models and learning theories for spoken language processing" laid foundational concepts for integrating ASR into interactive systems, Hori's broader contributions have significantly shaped the field. His research emphasizes endowing robots and agents with robust speech communication capabilities, addressing challenges in real-time recognition and contextual understanding. With a career spanning impactful developments in neural network-based ASR and sequence-to-sequence models, Hori has accumulated substantial citations across his body of work, reflecting his influence on both academic research and practical applications. His achievements include pioneering methods that improve speech recognition accuracy in noisy environments and for diverse languages, making him a key figure in advancing spoken language interfaces for next-generation AI systems.
Research Focus
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Top Papers
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