TY - GEN
T1 - Teaching a robot to hear
T2 - 2013 Australasian Conference on Robotics and Automation, ACRA 2013
AU - D'Arcy, Thomas
AU - Stanton, Christopher
AU - Bogdanovych, Anton
PY - 2013
Y1 - 2013
N2 - We present an approach for detecting, classi- fying and recognising novel non-verbal sounds on an Aldebaran Nao humanoid robot. Our method allows the robot to detect novel sounds, classify these sounds, and then recognise future instances. To learn the names of sounds, and whether each sound is relevant to the robot, a natural speech-based interaction occurs be- tween the robot and a human partner in which the robot seeks advice when a novel sound is heard. We test and demonstrate our system via an interactive human-robot game in which a person interacting with the robot can teach the robot via speech the names of novel sounds, and then test the robot's auditory classiffication and recognition capabilities by providing fur- ther examples of both novel sounds and sounds heard previously by the robot. The implemen- tation details of our acoustic sound recognition system are presented, together with empirical results describing the system's level of perfor- mance.
AB - We present an approach for detecting, classi- fying and recognising novel non-verbal sounds on an Aldebaran Nao humanoid robot. Our method allows the robot to detect novel sounds, classify these sounds, and then recognise future instances. To learn the names of sounds, and whether each sound is relevant to the robot, a natural speech-based interaction occurs be- tween the robot and a human partner in which the robot seeks advice when a novel sound is heard. We test and demonstrate our system via an interactive human-robot game in which a person interacting with the robot can teach the robot via speech the names of novel sounds, and then test the robot's auditory classiffication and recognition capabilities by providing fur- ther examples of both novel sounds and sounds heard previously by the robot. The implemen- tation details of our acoustic sound recognition system are presented, together with empirical results describing the system's level of perfor- mance.
UR - https://www.scopus.com/pages/publications/84911486840
M3 - Conference Paper
AN - SCOPUS:84911486840
T3 - Australasian Conference on Robotics and Automation, ACRA
BT - Australasian Conference on Robotics and Automation, ACRA
PB - Australasian Robotics and Automation Association
Y2 - 2 December 2013 through 4 December 2013
ER -