Slavic languages pose several specific challenges that need to be addressed in an ASR
system design. Since we have already built an engine suited for highly-inflected languages …

In the eyes of the roboticists, the play RUR (Rossum's Universal Robots) of Czech writer
Karel Čapek is seen as the messenger of the new robot age. RUR is renown for the first …

In this paper, we present a survey of state-of-the-art systems for automatic processing of
recognition of under-resourced languages of the Eastern Europe, in particular, East Slavic …

Purpose–The purpose of this paper is to describe a case study of develo** a web service
that will act as an intermediary between the Audio Library system for the visually impaired …

The paper presents the module for automatic generation of prosodic features of synthesized
speech, namely, f0 targets and phonetic segment durations, within the speech synthesizer …

Speech recognition systems are commonly modelled by hidden Markov models with
Gaussian mixture models as observation density functions. These models have a significant …

This paper presents our study on different phonetic segmentation methods based on hidden
Markov models evaluated against a Hebrew speech corpus. We investigated methods for …

U okviru ove disertacije razvijeno je više različitih modela trajanja glasova u srpskom jeziku
primenom odgovarajućih metoda automatskog učenja. Izvršena je objektivna evaluacija …

Sažetak One of the essential prerequisites for achieving the naturalness of synthesized
speech is the possibility of the automatic prediction of phone duration, due to the high …

Clustering of Gaussian mixture components, ie Hierarchical Gaussian mixture model
clustering (HGMMC) is a key component of Gaussian selection (GS) algorithm, used in order …