Title :
Autonomous speech acquisition of a robot
Author :
Zhang, Elu ; Weng, Juyang
Author_Institution :
Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
It is difficult to program a robot that understands speech. Instead of learning speech from offline speech data, online and grounded learning by a robot can potentially address the robot speech recognition issue. Motivated by the human speech acquisition process, we propose to enable a robot to learn from interactive experience. The author presents some recent results of a robot that develops its speech-related skills through real-time interactions with its environment
Keywords :
interactive systems; learning by example; real-time systems; robots; speech processing; speech recognition; autonomous speech acquisition; grounded learning; interactive experience; off-line speech data; online learning; real-time interactions; robot speech recognition issue; robot speech understanding; speech acquisition process; speech related skills; Cognitive robotics; Computer science; Human robot interaction; Natural languages; Robot sensing systems; Robotics and automation; Speech processing; Speech recognition; Strontium; Training data;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.969867
