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Maximum-likelihood stochastic-transformation adaptation of hidden Markov models

Diakoloukas Vasilis, Digalakis Vasilis

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URIhttp://purl.tuc.gr/dl/dias/04E5D722-6179-44E9-A174-4A2CA13F096E-
Identifierhttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=748122&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel4%2F89%2F16149%2F00748122.pdf%3Farnumber%3D748122-
Identifierhttps://doi.org/10.1109/89.748122-
Languageen-
Extent11 pagesen
TitleMaximum-likelihood stochastic-transformation adaptation of hidden Markov modelsen
CreatorDiakoloukas Vasilisen
CreatorΔιακολουκας Βασιλeioςel
CreatorDigalakis Vasilisen
CreatorΔιγαλακης Βασιληςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThe recognition accuracy in previous large vocabulary automatic speech recognition (ASR) systems is highly related to the existing mismatch between the training and testing sets. For example, dialect differences across the training and testing speakers result in a significant degradation in recognition performance. Some popular adaptation approaches improve the recognition performance of speech recognizers based on hidden Markov models with continuous mixture densities by using linear transformations to adapt the means, and possibly the covariances of the mixture Gaussians. The linear assumption, however, is too restrictive, and in this paper we propose a novel adaptation technique that adapts the means and, optionally, the covariances of the mixture Gaussians by using multiple stochastic transformations. We perform both speaker and dialect adaptation experiments, and we show that our method significantly improves the recognition accuracy and the robustness of our system. The experiments are carried out with SRI's DECIPHER speech recognition systemen
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-02-
Date of Publication1999-
SubjectSpeech recognitionen
Bibliographic CitationV. Diakoloukas and V. Digalakis, "Maximum-likelihood stochastic-transformation adaptation of hidden Markov model," IEEE Trans. Speech Audio Process., vol. 7, no. 2, pp. 177-187, Mar. 1999. doi:10.1109/89.748122en

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