Abstract for wang_icassp2004

Proc. ICASSP2004


L. Wang and P.C. Woodland

May 2004

In this paper, we present a discriminative method for speaker adaptation, where the minimum phone error (MPE) criterion is used to estimate the discriminative linear transform (DLT), including mean and diagonal variance transforms. The I-smoothing technique is essential to improve the generalization of DLTs. Experiments on supervised adaptation for non-native speakers on the North American Business (NAB) Spoke 3 task show that MPE-based DLT outperforms both MLLR and previously proposed discriminative method for transform estimation. Preliminary experiments on unsupervised DLT estimation are plotted on conversational telephone speech transcription.

| (ftp:) wang_icassp2004.pdf | (http:) wang_icassp2004.pdf | (ftp:) wang_icassp2004.ps.gz | (http:) wang_icassp2004.ps.gz |

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.