This paper presents the recent improvements in Serbian speech recognition that were
obtained by using contemporary deep neural networks based on sequence-discriminative …

Serbian is in a group of highly inflective and morphologically rich languages that use a lot of
different word suffixes to express different grammatical, syntactic, or semantic features. This …

When training language models (especially for highly inflective languages), some
applications require word clustering in order to mitigate the problem of insufficient training …

This paper presents the results obtained using several variants of trigram language models
in a large vocabulary continuous speech recognition (LVCSR) system for the Serbian …

This paper describes the procedure of building a TEI-XML corpus of spoken Serbian starting
from raw transcripts. The corpus consists of semi–structured interviews, which were …

Statistički jezički model, u teoriji, predstavlja raspodelu verovatnoća nad skupom svih
mogućih sekvenci reči nekog jezika. U praksi, to je mehanizam kojim se estimiraju …

Within the past two decades, text processing became an important part of most state-of-the-
art advanced automation systems. However, for many under-resourced languages it is still …

Automatsko prepoznavanje govora je tehnologija koja računarima omogućava pretvaranje
izgovorenih reči u tekst. Ona se može primeniti u mnogim savremenim sistemima koji …