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Course info
KKY / ARŘ
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Course description
Department/Unit / Abbreviation
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KKY
/
ARŘ
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Speech Analysis and Recognition
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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12 / -
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1 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The goal of the course is not only to introduce students to the theoretical principles of speech recognition but also with the practical realization of the individual modules in the speech recognition process.
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Requirements on student
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Understanding the basic principles of the processing, training and speech recognition. Separately solved assignments.
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Content
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Introduction into processing, training and speech recognition. Representation of speech, speech production, speech units, model of speech production, hearing model, phonetic transcription, speech signal analysis, transmission channel, speech compression, LPC, MFCC, PLP, phonetic analysis, statistical approach to speech recognition, HMM, language modeling, decoding techniques, MAP, Viterbi, stack decoder, time-synchronous search, transducers, N best hypotheses.
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Activities
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Fields of study
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Guarantors and lecturers
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Guarantors:
doc. Ing. Mgr. Josef Psutka, Ph.D. (100%),
-
Lecturer:
Ing. Aleš Pražák, Ph.D. (100%),
Prof. Ing. Josef Psutka, CSc. (100%),
doc. Ing. Mgr. Josef Psutka, Ph.D. (100%),
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Tutorial lecturer:
Ing. Aleš Pražák, Ph.D. (100%),
doc. Ing. Mgr. Josef Psutka, Ph.D. (100%),
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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26
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Practical training (number of hours)
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39
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Preparation for an examination (30-60)
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45
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Presentation preparation (report) (1-10)
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5
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Individual project (40)
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40
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Total
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155
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
orientovat se v teorii pravděpodobnosti a statistice |
aplikovat základy lineární algebry |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
algoritmizovat |
dekomponovat úlohu na subúlohy |
aplikovat základy teorie pravděpodobnosti |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
diskutovat teoretická východiska při návrhu parametrizačních technik řeči |
vysvětlit základy statistického rozpoznávání řeči |
formulovat princip HMM |
orientovat se v jazykových modelech |
formulovat problematiku dekódování v systémech rozpoznávání řeči |
Skills - skills resulting from the course: |
prakticky realizovat parametrizaci řečového signálu |
natrénovat jednoduchý akustický HMM model |
vytvořit jednoduchý jazykový model |
realizovat jednoduché dekódovací strategie |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Skills - skills achieved by taking this course are verified by the following means: |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture with visual aids |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Task-based study method |
Individual study |
Competences - the following training methods are used to achieve the required competences: |
Lecture with visual aids |
Task-based study method |
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