Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/A626F192-FFCC-4C9F-B53E-E0F41DB33825 | - |
| Identifier | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=326617 | - |
| Identifier | https://doi.org/10.1109/89.326617 | - |
| Language | en | - |
| Extent | 8 pages | en |
| Title | Training issues and channel equalization techniques for the construction of telephone acoustic models using a high-quality speech corpus | en |
| Creator | Neumeyer Leonardo | en |
| Creator | Digalakis Vasilis | en |
| Creator | Διγαλακης Βασιλης | el |
| Creator | Weintraub M. | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | We describe an approach for the estimation of acoustic phonetic models that will be used in a hidden Markov model (HMM) recognizer operating over the telephone. We explore two complementary techniques to developing telephone acoustic models. The first technique presents two new channel compensation algorithms. Experimental results on the Wall Street Journal corpus show no significant improvement over sentence-based cepstral-mean removal. The second technique uses an existing “high-quality” speech corpus to train acoustic models that are appropriate for the switchboard credit card task over long-distance telephone lines. Experimental results show that cross-database acoustic training yields performance similar to that of conventional task-dependent acoustic training | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-02 | - |
| Date of Publication | 1994 | - |
| Subject | Automatic speech recognition | en |
| Bibliographic Citation | L. Neumeyer, V. Digalakis and M. Weintraub, "Training issues and channel equalization techniques for the construction of telephone acoustic models using a high-quality speech corpus," IEEE Trans. Speech Audio Process., vol. 2, no. 4, pp. 590-597, Oct. 1994. doi:10.1109/89.326617 | en |
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