Katarina Bartkova

Learn More
Standard speech modeling generally implies the combination of models of the phonemes of the current language with a description of possible pronunciation variants of the vocabulary words. When dealing with foreign accent, this standard native speech modeling is not adequate. In fact many variabilities have to be taken into account as the acoustic(More)
In real-life applications, errors in the speech recognition system are mainly due to inefficient detection of speech Ž . segments, unreliable rejection of Out-Of-Vocabulary OOV words, and insufficient account of noise and transmission channel effects. In this paper, we review a set of techniques developed at CNET in order to increase the robustness to(More)
Prosodic cues are of great importance in parsing speech signal into prosodic and lexical units. Listeners detect the changes of the prosodic parameters and interpret them to detect sentence modalities or the mood of the speaker. Some automatic speech recognition systems try to use prosodic parameters to detect boundaries of prosodic units and help thus the(More)
In Saccharomyces cerevisiae treated with an antifungal agent, 6-amino-2-n-pentylthiobenzothiazole, levels of ergosterol and other 4-desmethylsterols were found to be significantly reduced. Major sterols in treated yeast were lanosterol, 4,4-dimethylzymosterol, 4-methylzymosterol and 4-methylfecosterol. A hypothesis is stated that the antifungal agent(More)
Speech recognition of foreign accented speech is one of the most difficult tasks in ASR. The problem of foreign accent is addressed in this study using acoustic models of the target language phonemes (French phonemes in our case) adapted with speech data from 3 other languages: English (US and UK), German and Spanish. Recognition results obtained for 11(More)
An efficient rejection procedure is necessary to reject out-ofvocabulary words and noise tokens that occur in voice activated vocal services. Garbage or filler models are very useful for such a task. However, a post-processing of the recognized hypothesis, based on a likelihood ratio statistic test, can refine the decision and improve performance. These(More)