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ToolsCaballero Morales, Omar and Cox, Stephen (2009) On the Estimation and the Use of Confusion-Matrices for Improving ASR Accuracy. In: 10th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2009-09-06 - 2009-09-10.
Full text not available from this repository. (Request a copy)Abstract
In previous work, we described how learning the pattern of recognition errors made by an individual using a certain ASR system leads to increased recognition accuracy compared with a standard MLLR adaptation approach. This was the case for low-intelligibility speakers with dysarthric speech, but no improvement was observed for normal speakers. In this paper, we describe an alternative method for obtaining the training data for confusion-matrix estimation for normal speakers which is more effective than our previous technique. We also address the issue of data sparsity in estimation of confusion-matrices by using non-negative matrix factorization (NMF) to discover structure within them. The confusion-matrix estimates made using these techniques are integrated into the ASR process using a technique termed as "metamodels", and the results presented here show statistically significant gains in word recognition accuracy when applied to normal speech.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies |
| Depositing User: | Nicola Talbot |
| Date Deposited: | 14 Mar 2011 09:39 |
| Last Modified: | 22 Apr 2023 02:43 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/26038 |
| DOI: |
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