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Lecturer(s)
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Němec Zdeněk, Ing. Ph.D.
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Roleček Jiří, Ing.
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Course content
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1. Acoustic signals, overview, properties. Signal propagation. 2. Human speech, the process of creating speech, information in speech. 3. Speech recording and acoustic signal discretization, aliasing. Quantization process. 4. Preprocessing and analysis of acoustic signal. 5. Frequency analysis, signal resampling. 6. Principles of speech recognition. 7. Recognition of isolated words, recognition of acoustically similar and different words. 8. Use of recognition in practice. Speech recognition applications. 9. Indoor and outdoor propagation of acoustic signals. 10. Time and frequency analysis of signals. 11. Principles of determining the direction and position of a sound source. 12. Systems for determining the direction of arrival of highly dynamic sounds. 13. Sound source localization systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Participation in classes
- 52 hours per semester
- Preparation for an exam
- 25 hours per semester
- Home preparation for classes
- 18 hours per semester
- Preparation for laboratory work and processing of results
- 25 hours per semester
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Learning outcomes
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The course is focused on the processing of acoustic signals in two areas of application - the first is the processing of speech signals and word recognition, the second area is acoustic localization systems. The introduction describes the parameters of acoustic signals and methods of processing. In the following sections, speech signals and signals from other sources are discussed, as well as principles and algorithms designed to recognize separate words of discrete speech. The second area leads to the knowledge of systems for determining the direction of sound and the location of the source of sound.
Thanks to team projects, students will deal with experimental verification of theoretical knowledge and applications of methods of digital processing of audio signals in the Matlab environment. The student will understand the issues of audio signal processing, recognition of separate words and localization of the sound source.
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Prerequisites
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Prerequisite for successful completion of the course is knowledge of the basics of digital signal processing, measurement of electrical quantities and signal analysis in the Matlab environment.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
Participation in seminars, elaboration of seminar reports, oral exam.
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Recommended literature
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Benesty, Jacob. Microphone array signal processing. Berlin: Springer-Verlag, 2008. ISBN 978-3-540-78611-5.
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BEZOUŠEK, P., ŠEDIVÝ, P.:. Radarová technika. ČVUT Praha: 2. vyd., 2007. ISBN 978-80-01-03036-3.
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CROCKER, Malcolm J. Handbook of Acoutics. New Jersey: John Wiley, 1998. ISBN 978-0-471-25293-1.
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Psutka, Josef. Mluvíme s počítačem česky. Praha: Academia, 2006. ISBN 80-200-1309-1.
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