Course: Shadow Speaker Practice

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Course title Shadow Speaker Practice
Course code KKY/XSRHB
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Radová Vlasta, Doc. Dr. Ing.
  • Pražák Aleš, Ing. Ph.D.
Course content
The process of making speech by man, phonetics. Principle of automatic speech recognition system, acoustic model, language model. Possibilities of using automatic speech recognition systems. Disadvantages of speech recognition systems. The role of the shadow speaker in automatic speech recognition systems. Shadow speaker training system. Basics of using automatic speech recognition systems. Shadow speaker skills training. Working with a simulator for training a shadow speaker. Active training of shadow speaker skills - simultaneous persuasion of assigned recordings, simplification of dialogue while maintaining its meaning, free persuasion of television programs. Developing other (non-speech) abilities of the shadow speaker - supplementing punctuation, marking the change of the speaker, expanding the dictionary, correction of incorrectly recognized text.

Learning activities and teaching methods
Seminar classes, Lecture
  • Presentation preparation (report) (1-10) - 10 hours per semester
  • Contact hours - 78 hours per semester
  • Practical training (number of hours) - 68 hours per semester
prerequisite
Knowledge
good knowledge of the Czech language, general social overview
to correctly formulate and write down ideas in the Czech language, have a general social overview
Skills
to work with a computer (basic user knowledge)
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to describe in detail the role of the shadow speaker in automatic speech recognition systems
to explain the principle of automatic speech recognition systems
to describe the properties of speech recognition systems
Skills
to use speech recognition systems
to simultaneously persuade certain types of recordings
Competences
N/A
N/A
teaching methods
Knowledge
Practicum
Lecture with visual aids
Lecture
Skills
Skills demonstration
Lecture with visual aids
Competences
Skills demonstration
Lecture with visual aids
assessment methods
Knowledge
Continuous assessment
Skills
Skills demonstration during practicum
Competences
Skills demonstration during practicum
Continuous assessment
Recommended literature
  • Psutka, Josef. Hlasový dialog s počítačem. Umělá inteligence 5 Praha : Academia, 2007 ISBN 97. 2007.
  • Psutka, Josef. Komunikace s počítačem mluvenou řečí. Praha : Academia, 1995. ISBN 80-200-0203-0.
  • Psutka, Josef. Mluvíme s počítačem česky. Praha : Academia, 2006. ISBN 80-200-1309-1.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester