Results 261 to 270 of about 35,462 (300)

Modelling Highly Inflected Slovenian Language

International Journal of Speech Technology, 2003
This paper concerns the development of statistical language models of the Slovenian language for use in an automatic speech recognition system. The proposed techniques are language-independent and can be applied to other highly inflected Slavic languages.
Mirjam Sepesy Maučec   +2 more
openaire   +1 more source

Labeling of Symbolic Prosody Breaks for the Slovenian Language

International Journal of Speech Technology, 2003
This paper presents the data-driven prediction of word level prosody breaks modelling for the Slovenian language. Automatic learning techniques depend on the construction of a large corpus labeled appropriately. This labeling can be done either automatically, or by hand.
Janez Stergar   +2 more
openaire   +1 more source

SOVA - software environment for NLU of Slovenian language

ACM SIGART Bulletin, 1982
The field of natural language processing already has quite a tradition in Yugoslavia but research is lacking in AI related areas, such as natural language understanding (NLU) and knowledge representation. In order to establish sound software support for such research we have been developing a system named SOVA.
openaire   +1 more source

AlpSynth - concatenation-based speech synthesis for the Slovenian language

47th International Symposium ELMAR, 2005., 2005
The paper focuses on the design and collection of a speech corpus of elemental speech units for AlpSynth, a corpus-driven Slovenian TTS system. We describe the design procedures for a new speech corpus: purpose definition, content selection, definition of recording conditions and requirements, corpus segmentation and annotation.
J.Z. Gros   +4 more
openaire   +1 more source

Large Vocabulary Continuous Speech Recognizer for Slovenian Language

2010
The paper describes the development of a large vocabulary continuous speech recogniser for Slovenian language with SNABI database. The problems with inflectional languages when speech recognition is performed are presented. The system is based on hidden Markov models.
Andrej Žgank   +2 more
openaire   +1 more source

Language Contact: German and Slovenian. (Achim Rabus)

2010
Zeitschrift für Slawistik: Journal of Slavic Studies, vol. 55, no.
openaire   +1 more source

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