A Closed-Form Solution of Linear Spectral Transformation for Robust Speech Recognition
- Authors
- Kim, Donghyun; Yook, Dongsuk
- Issue Date
- 8월-2009
- Publisher
- WILEY
- Keywords
- Speech recognition; environment adaptation; linear spectral transformation; closed-form solution
- Citation
- ETRI JOURNAL, v.31, no.4, pp.454 - 456
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- ETRI JOURNAL
- Volume
- 31
- Number
- 4
- Start Page
- 454
- End Page
- 456
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/119638
- DOI
- 10.4218/etrij.09.0209.0012
- ISSN
- 1225-6463
- Abstract
- The maximum likelihood linear spectral transformation (ML-LST) using a numerical iteration method has been previously proposed for robust speech recognition. The numerical iteration method is not appropriate for real-time applications due to its computational complexity In order to reduce the computational cost, the objective function of the ML-LST is approximated and a closed-form solution is proposed in this paper It is shown experimentally that the proposed closed-form solution for the ML-LST can provide rapid speaker and environment adaptation for robust speech recognition.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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