Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/9E571AA5-BAA3-4B28-BEBF-B7187B634C0C | - |
| Identifier | http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4100669&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F10376%2F4100662%2F04100669.pdf%3Farnumber%3D4100669 | - |
| Identifier | https://doi.org/10.1109/TASL.2006.885259 | - |
| Language | en | - |
| Extent | 11 pages | en |
| Title | Gaussian mixture clustering and language adaptation for the development of a new language speech recognition system | en |
| Creator | Chatzichrisafis, Nikos | en |
| Creator | Diakoloukas Vasilis | en |
| Creator | Διακολουκας Βασιλeioς | el |
| Creator | Digalakis Vasilis | en |
| Creator | Διγαλακης Βασιλης | el |
| Creator | Harizakis Costas | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | The porting of a speech recognition system to a new language is usually a time-consuming and expensive process since it requires collecting, transcribing, and processing a large amount of language-specific training sentences. This work presents techniques for improved cross-language transfer of speech recognition systems to new target languages. Such techniques are particularly useful for target languages where minimal amounts of training data are available. We describe a novel method to produce a language-independent system by combining acoustic models from a number of source languages. This intermediate language-independent acoustic model is used to bootstrap a target-language system by applying language adaptation. For our experiments, we use acoustic models of seven source languages to develop a target Greek acoustic model. We show that our technique significantly outperforms a system trained from scratch when less than 8 h of read speech is available | 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 | 2007 | - |
| Subject | Natural languages | en |
| Subject | Speech recognition | en |
| Subject | Training data | en |
| Subject | Linear discriminant analysis | en |
| Subject | Speech processing | en |
| Subject | Databases | en |
| Subject | Costs | en |
| Subject | Application software | en |
| Subject | Acoustical engineering | en |
| Subject | Vectors | en |
| Bibliographic Citation | N. Chatzichrisafis, V. Diakoloukas, V. Digalakis and C. Harizakis, "Gaussian mixture clustering and language adaptation for the development of a new language speech recognition system," IEEE Trans. Audio, Speech, Language Process., vol. 15, no. 3, pp. 928-938, Mar. 2007. doi:10.1109/TASL.2006.885259 | en |
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