대한음성학회지:말소리 (MALSORI)
- 제43호
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- Pages.127-136
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- 2002
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- 1226-1173(pISSN)
ICA 기반의 특징변환을 이용한 화자적응
Speaker Adaptation using ICA-based Feature Transformation
초록
The speaker adaptation technique is generally used to reduce the speaker difference in speech recognition. In this work, we focus on the features fitted to a linear regression-based speaker adaptation. These are obtained by feature transformation based on independent component analysis (ICA), and the transformation matrix is learned from a speaker independent training data. When the amount of data is small, however, it is necessary to adjust the ICA-based transformation matrix estimated from a new speaker utterance. To cope with this problem, we propose a smoothing method: through a linear interpolation between the speaker-independent (SI) feature transformation matrix and the speaker-dependent (SD) feature transformation matrix. We observed that the proposed technique is effective to adaptation performance.