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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lecouteux, B. Linares, G. Esteve, Y. Mauclair, J. |
| Copyright Year | 2007 |
| Description | Author affiliation: Lab. Inf. d'Avignon, Avignon Univ., France (Lecouteux, B.; Linares, G.) |
| Abstract | The combination of automatic speech recognition (ASR) systems generally relies on a posteriori merge of system outputs or on a cross-adaptation. In this paper, we propose an integrated approach where the search of a primary system is driven by the outputs of a secondary one. This method allows to drive the primary system search by using the one-best hypotheses and the word posteriors gathered from the secondary system. Experiments are carried out within the experimental framework of the ESTER evaluation campaign (S. Galliano et al. 2005). Results show that the driven decoding algorithm significantly outperforms the two single ASR systems (-8% of relative WER, -1.7% absolute). Finally, we investigate the interactions between driven decoding and cross-adaptations. The best cross-adaptation strategy in combination with the driven decoding process brings to a final absolute gain of about 1.9% WER. |
| File Size | 92131 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366919 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decoding Automatic speech recognition Probes Broadcasting Lattices Computer numerical control Merging Anatomy Vocabulary Speech recognition confidence measures system combination decoding algorithms broadcast news transcription |
| Content Type | Text |
| Resource Type | Article |
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