| Paper: | SP-P2.3 | ||
| Session: | Speaker Adaptation | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Adaptation/Normalization | ||
| Title: | MPE-BASED DISCRIMINATIVE LINEAR TRANSFORM FOR SPEAKER ADAPTATION | ||
| Authors: | Lan Wang; Cambridge University | ||
| Phil Woodland; Cambridge University | |||
| Abstract: | 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 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. | ||
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