Recent advances in the statistical modeling of the Slovak language

In this paper we aim to describe recent advances in the statistical modeling of the Slovak language for transcription of dictated, semi-spontaneous and spontaneous conversational speech such as judicial readings, broadcast news TV and radio shows, parliament proceedings, educational talks and lectures, or interactive conversations. During the last months, we have improved the efficiency and robustness of the Slovak language models trained on the electronic and web-based language resources, including better text processing and document classification, class-based and filled pauses modeling, augmenting of n-grams and fast language model adaptation. Experimental results performed on the judicial readings, broadcast news recordings and parliament proceeding show significant decrease of the word error rate for multiple Slovak transcription system configurations of acoustic and language models in presented scenarios.