Artikel
Open Access
Soft missing-feature mask generation for Robot Audition
-
Toru Takahashi
,
Kazuhiro Nakadai
Veröffentlicht/Copyright:
31. März 2010
Received: 2010-2-21
Accepted: 2010-3-19
Published Online: 2010-3-31
Published in Print: 2010-3-1
© Toru Takahashi et al.
Artikel in diesem Heft
- A Formalism for Learning from Demonstration*
- Exploring Parameter Space in Reinforcement Learning
- Toward Autonomous, Compliant, Omnidirectional Humanoid Robots for Natural Interaction in Real-Life Settings
- Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
- Soft missing-feature mask generation for Robot Audition
- The NSB control: a behavior-based approach for multi-robot systems
- Abstract intelligence and cognitive robots
- Tracking and segmentation using min-cut with consecutive shape priors
- Voice-awareness control for a humanoid robot consistent with its body posture and movements
Schlagwörter für diesen Artikel
Robot Audition;
HARK;
missing-feature-theory;
soft mask generation;
simultaneous speech recognition;
Automatic Speech Recognition;
sound source separation;
sound localization
Creative Commons
BY-NC-ND 3.0
Artikel in diesem Heft
- A Formalism for Learning from Demonstration*
- Exploring Parameter Space in Reinforcement Learning
- Toward Autonomous, Compliant, Omnidirectional Humanoid Robots for Natural Interaction in Real-Life Settings
- Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
- Soft missing-feature mask generation for Robot Audition
- The NSB control: a behavior-based approach for multi-robot systems
- Abstract intelligence and cognitive robots
- Tracking and segmentation using min-cut with consecutive shape priors
- Voice-awareness control for a humanoid robot consistent with its body posture and movements
