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Challenges in speech processing of Slavic languages (case studies in speech recognition of Czech and
, 2010
"... Abstract. Slavic languages pose a big challenge for researchers dealing with speech technology. They exhibit a large degree of inflection, namely declension of nouns, pronouns and adjectives, and conjugation of verbs. This has a large impact on the size of lexical inventories in these languages, an ..."
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Abstract. Slavic languages pose a big challenge for researchers dealing with speech technology. They exhibit a large degree of inflection, namely declension of nouns, pronouns and adjectives, and conjugation of verbs. This has a large impact on the size of lexical inventories in these languages, and significantly complicates the design of text-to-speech and, in particular, speech-to-text systems. In the paper, we demonstrate some of the typical features of the Slavic languages and show how they can be handled in the development of practical speech processing systems. We present our solutions we applied in the design of voice dictation and broadcast speech transcription systems developed for Czech. Furthermore, we demonstrate how these systems can be converted to another similar Slavic language, in our case Slovak. All the presented systems operate in real time with very large vocabularies (350K words in Czech, 170K words in Slovak) and some of them have been already deployed in practice.
0Recent Progress in Development of Language Model for Slovak Large Vocabulary Continuous Speech Recognition
"... Speech technologies have a potentiality to simplify the human-machine interaction as well as the communication between people. The use of speech technology applications has nowadays continuously growing trend. Each speech recognition system, which stands in the heart of every speech application, bes ..."
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Speech technologies have a potentiality to simplify the human-machine interaction as well as the communication between people. The use of speech technology applications has nowadays continuously growing trend. Each speech recognition system, which stands in the heart of every speech application, besides an algorithmic complexity, is strongly language dependent.
