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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Automatic Speech Segmentation for Automatic Speech Translation
verfasst von : Piotr Kłosowski, Adam Dustor
Erschienen in: Computer Networks
Verlag: Springer Berlin Heidelberg
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The article presents selected, effective speech signal processing algorithms and their use in order to improve the automatic speech translation. Automatic speech translation uses natural language processing techniques implemented using algorithms of automatic speech recognition, speaker recognition, automatic text translation and text-to-speech synthesis. It is very possible to improve the process of automatic speech translation by using effective algorithms for automatic segmentation of speech signals based on speaker recognition and language recognition.