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.
Original language | English |
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Pages (from-to) | 454-456 |
Number of pages | 3 |
Journal | ETRI Journal |
Volume | 31 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2009 Aug |
Keywords
- Closed-form solution
- Environment adaptation
- Linear spectral transformation
- Speech recognition
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- General Computer Science
- Electrical and Electronic Engineering