VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Large vocabulary continuous speech recognition of an inflected language using stems and endings
    Rotovnik, Tomaž, telekomunikacije ; Sepesy Maučec, Mirjam ; Kačič, Zdravko
    In this article, we focus on creating a large vocabulary speech recognition system for the Slovenian language. Currently, state-of-theart recognition systems are able to use vocabularies with sizes ... of 20,000 to 100,000 words. These systems have mostly been developed for English, which belongs to a group of uninflectional languages. Slovenian, as a Slavic language, belongs to a group of inflectional languages. Its rich morphology presents a major problem in large vocabulary speech recognition. Compared to English, the Slovenian language requires a vocabulary approximately 10 times greater for the same degree of text coverage. Consequently, the difference in vocabulary size causes a high degree of OOV (out-of-vocabulary words). Therefore OOV words have a direct impact on recognizer efficiency. The characteristics of inflectional languages have been considered when developing a new search algorithm with a method for restricting the correct order of sub-word units, and to use separate language models based on sub-words. This search algorithm combines the properties of sub-word-based models (reduced OOV) and word-based models (the length of context). The algorithm also enables better search-spacelimitation for sub-word models. Using sub-word models, we increase recognizer accuracy and achieve a comparable search space to that of a standard word-based recognizer. Our methods were evaluated in experiments on a SNABI speech database.
    Vir: Speech communication. - ISSN 0167-6393 (Vol. 49, iss. 6, 2007, str. 437-452)
    Vrsta gradiva - članek, sestavni del
    Leto - 2007
    Jezik - angleški
    COBISS.SI-ID - 11385366

vir: Speech communication. - ISSN 0167-6393 (Vol. 49, iss. 6, 2007, str. 437-452)
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