Abstract

The article presents statistical word-based and phoneme-based language models for automatic speech recognition application in Polish. Appropriate orthographic and phonemic language corpora allow to perform statistical analysis of the language and to develop statistical word-based and phoneme-based language models. Development of statistical language models helps to predict a sequence of recognized words and phonemes. Developed statistical language models have been compared and the best of them has been proposed as the best suited for automatic speech recognition application for Polish. Word-based and phoneme-based language models can be used to develop hybrid language models and effectively contribute to improve speech recognition effectiveness based on statistical methods. The achieved research results and conclusions can also be applied to speech recognition application for other languages.

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