Rapid acoustic model development using Gaussian mixture clustering and language adaptation
| Autor: | Costas Harizakis, Nikos Chatzichrisafis, Vassilios Digalakis, Vassilios Diakoloukas |
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| Zdroj: | Scopus-Elsevier INTERSPEECH |
| Popis: | This work presents techniques for improved cross-language transfer of speech recognition systems to new, previously undeveloped, 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 hours of read speech is available. |
| Databáze: | OpenAIRE |
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