Robust vocabulary recognition model using average estimator least mean square filter
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, S.-Y. | - |
dc.contributor.author | Chung, K.-Y. | - |
dc.date.available | 2020-02-29T01:41:45Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14945 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.relation.isPartOf | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.subject | AELMS Filter | - |
dc.subject | Changing environment | - |
dc.subject | Least mean square filter | - |
dc.subject | Noise environments | - |
dc.subject | Noise estimation | - |
dc.subject | Robust speech recognition | - |
dc.subject | Vocabulary recognition | - |
dc.subject | Weak points | - |
dc.subject | Information science | - |
dc.subject | Speech recognition | - |
dc.title | Robust vocabulary recognition model using average estimator least mean square filter | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/ICISA.2013.6579393 | - |
dc.identifier.bibliographicCitation | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.identifier.scopusid | 2-s2.0-84883767450 | - |
dc.citation.title | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.contributor.affiliatedAuthor | Oh, S.-Y. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | AELMS Filter | - |
dc.subject.keywordAuthor | Vocabulary Recognition | - |
dc.subject.keywordPlus | AELMS Filter | - |
dc.subject.keywordPlus | Changing environment | - |
dc.subject.keywordPlus | Least mean square filter | - |
dc.subject.keywordPlus | Noise environments | - |
dc.subject.keywordPlus | Noise estimation | - |
dc.subject.keywordPlus | Robust speech recognition | - |
dc.subject.keywordPlus | Vocabulary recognition | - |
dc.subject.keywordPlus | Weak points | - |
dc.subject.keywordPlus | Information science | - |
dc.subject.keywordPlus | Speech recognition | - |
dc.description.journalRegisteredClass | scopus | - |
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