155 citations · 374 across the 20 of their papers we have counts for
6 papers · 1 filter
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments
Nelson Yalta, Shinji Watanabe, Takaaki Hori +2
Casual conversations involving multiple speakers and noises from surrounding devices are common in everyday environments, which degrades the performances of automatic speech recogn…
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability
Zhihao Li, Toshiyuki Motoyoshi, Kazuma Sasaki +2
Current end-to-end deep learning driving models have two problems: (1) Poor generalization ability of unobserved driving environment when diversity of training driving dataset is l…
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
Namiko Saito, Kitae Kim, Shingo Murata +2
We propose a tool-use model that can detect the features of tools, target objects, and actions from the provided effects of object manipulation. We construct a model that enables r…
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation
Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai +1
Synthesizing human's movements such as dancing is a flourishing research field which has several applications in computer graphics. Recent studies have demonstrated the advantages…
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi
Studies suggest that within the hierarchical architecture, the topological higher level possibly represents a conscious category of the current sensory events with slower changing…
AFA-PredNet: The action modulation within predictive coding
Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang +1
The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action. We pro…