원문정보
초록
영어
For a mobile robot to serve people in actual environments, such as a living room or a party room,
it must be easy to control because some users might not even be capable of operating a computer
keyboard. For non-expert users, speech recognition is one of the most effective communication
tools when it comes to a hands-free (human-robot) interface. This paper describes a new mobile
robot with hands-free speech recognition. For a hands-free speech interface, it is important to
detect commands for a robot in spontaneous utterances. Our system can understand whether user’s
utterances are commands for the robot or not, where commands are discriminated from humanhuman
conversations by acoustic features. Then the robot can move according to the user’s voice
(command). In order to capture the user’s voice only, a robust voice detection system with AdaBoost
is also described.
목차
1: Introduction
2: Mobile Picture-Taking Robot
3: Hands-Free Speech Recognition
3.1: Voice Detection with AdaBoost
3.2: Utterance Verification in Spontaneous Speeches Using Acoustic Features
3.3: Estimation of User’s Direction with CSP
3.4: Signal Enhancement with Two-Channel SS
4: Experiments
4.1: Evaluation of Hands-Free Speech Recognition
4.2: Evaluation of System Request Detection
5: Conclusion
References
