Rapid adaptation using linear spectral transformation for embedded speech recognisers
- Authors
- Cho, Y.; Yook, D.
- Issue Date
- 14-8월-2008
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Citation
- ELECTRONICS LETTERS, v.44, no.17, pp.1040 - 1041
- Indexed
- SCIE
SCOPUS
- Journal Title
- ELECTRONICS LETTERS
- Volume
- 44
- Number
- 17
- Start Page
- 1040
- End Page
- 1041
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/122860
- DOI
- 10.1049/el:20081503
- ISSN
- 0013-5194
- Abstract
- Embedded speech recognisers are typically used in unknown mobile environments where the acoustic conditions frequently change. Since a large amount of adaptation data is not usually available for such environments, the adaptation methods for the acoustic models of these recognisers must improve the recognition performance with only a small amount of adaptation data. In this Letter, we show that maximum likelihood linear spectral transformation provides the advantage of rapid adaptation using a very limited amount of adaptation data for the embedded acoustic models.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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