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This paper presents initial experiments with the identification and automatic detection of parasitic sounds in speech signals. The main goal of this study is to identify such sounds in the source recordings for unit-selection-based speech synthesis systems and thus to avoid their unintended usage in synthesised speech. The first part of the paper describes(More)
—This paper represents another step towards the linguistic naturalness of synthetic Czech. Its main goal is to eliminate undesirable occurrences of the so-called parasitic speechsounds, specifically preglottalization, from synthesized speech. After explaining the nature of parasitic speechsounds in Czech, we present procedures for both automatic detection(More)
This paper presents a study on coarticulatory labialization and the significance of its respecting/violation during selection and concatenation of speech units in the unit selection speech synthesis. The aim of this study is to improve the overall speech quality, especially to increase the perceptual inconspicuousness between concatenated units. The(More)
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