Robust vocabulary recognition model using average estimator least mean square filter
- Authors
- Oh, S.-Y.; Chung, K.-Y.
- Issue Date
- 2013
- Keywords
- AELMS Filter; Vocabulary Recognition
- Citation
- 2013 International Conference on Information Science and Applications, ICISA 2013
- Journal Title
- 2013 International Conference on Information Science and Applications, ICISA 2013
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14945
- DOI
- 10.1109/ICISA.2013.6579393
- ISSN
- 0000-0000
- Abstract
- Noise estimation and detection algorithm should adopt to a changing environment in a fast manner so they use a LMS filter. However, there are some negative points as well. A LMS filter is very low and it consequently lowers a speech recognition rate. In order to overcome such weak point, I would like to propose a method for the establishment of a robust' speech recognition model in a noise environment. Since this proposed method allows the cancelation of noise with the AELMS filter in a noise environment, a robust speech recognition model can be established in a noise environment. © 2013 IEEE.
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Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
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