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Lecturer(s)
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Nouza Jan, prof. Ing. CSc.
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Course content
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The subject provides an introduction to basic principles and methods of automatic speech and language processing. The main focus is given to the following topics: basics of speech recognition, speech synthesis, speech coding and spoken dialogue with a machine.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 56 hours per semester
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Learning outcomes
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The subject provides an introduction to basic principles and methods of automatic speech and language processing. The main focus is given to the following topics: basics of speech recognition, speech synthesis, speech coding and spoken dialogue with a machine.
Theoretic piece of knowledge and practical skills from requered areas
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Prerequisites
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Condition of registration: basic knowledge of digital signal processing
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Assessment methods and criteria
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Combined examination
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Recommended literature
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Huang X., Acero A., Hon H.-W. Spoken Language Processing. A Guide to Theory, Algorithm and System Development. Prentice Hall. New Jersey, 2001.
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Nouza J. (editor). Počítačové zpracování řeči (cíle, problémy, metody a aplikace). Technická univerzita v Liberci, 2001.
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Psutka J. Komunikace s počítačem mluvenou řečí. Academia. Praha, 1995.
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