Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2007.07a
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- Pages.413-414
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- 2007
Noise removal algorithm for intelligent service robots in the high noise level environment
원거리 음성인식 시스템의 잡음 제거 기법에 대한 연구
- Woo, Sung-Min (Electrical and Electronic Engineering Pohang University of Science and Technology) ;
- Lee, Sang-Hoon (Electrical and Electronic Engineering Pohang University of Science and Technology) ;
- Jeong, Hong (Electrical and Electronic Engineering Pohang University of Science and Technology)
- Published : 2007.07.11
Abstract
Successful speech recognition in noisy environments for intelligent robots depends on the performance of preprocessing elements employed. We propose an architecture that effectively combines adaptive beamforming (ABF) and blind source separation (BSS) algorithms in the spatial domain to avoid permutation ambiguity and heavy computational complexity. We evaluated the structure and assessed its performance with a DSP module. The experimental results of speech recognition test shows that the proposed combined system guarantees high speech recognition rate in the noisy environment and better performance than the ABF and BSS system.
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