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Conference Paper
Human-Robot Interface Using Robust Speech Recognition and User Localization Based on Noise Separation Device
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- Authors
- Ki Young Park, Sung Joo Lee, Ho Young Jung, Yun Keun Lee
- Issue Date
- 2009-09
- Citation
- International Symposium on Robot and Human Interactive Communication (RO-MAN) 2009, pp.328-333
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper introduces a robust human-robot interface (HRI) system using a speech recognition and a user localization. For a robust speech recognition indoors under unknown noises and acoustic reverberations, a blind source separation (BSS) algorithm is implemented by a block-wise processing and developed using digital signal processing board to guarantee real-time operation. And a reverberation-robust sound source localization algorithm using separated signals is proposed. Although the BSS method cannot completely preserve the room acoustic information, the proposed localization algorithm overcomes this problem using target channel selection and target-emphasized enhancement methods. The developed algorithms are integrated into the commercial robot system to provide overall voice-enabled HRI. A series of tests are conducted to evaluate the performance of the BSS-based speech recognition and user localization method, and the results show a remarkable performance even under severe non-stationary noise conditions. © 2009 IEEE.
- KSP Keywords
- Channel Selection, Digital Signal Processing, Real-time operation, Robust Speech Recognition, Separation device, blind source separation(BSS), human-robot interface, localization algorithm, localization method, noise separation, non-stationary noise