P071 Computer Acoustics and Phonetics

Faculty of Informatics
Spring 1999
Extent and Intensity
2/0. 2 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
Guaranteed by
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • Motivation and goals.
  • Basic concepts, physical and mathematical models.
  • Sound digitalization and coding.
  • Theory of sound perception and speech production, model of Corti organ.
  • Vowels and consonants characterization, formants, coarticulation.
  • Basic phonetic elements (phonemes, diphones, alophones, syllable)
  • Acoustic signal processing in time and frequency domain.
  • Segments, acoustic vectors and coding book.
  • Searching in coding book, algebraical models.
  • Programming of sound cards.
  • Principles of speech synthesis.
  • Phonetical transcription, prosody.
  • Syntactical, semantical and pragmatical relations.
  • Introduction to speech recognition.
  • Hidden Markov Models and DTW algorithms.
  • Principles of speaker recognition and verification.
  • Applications and future challenges.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
Teacher's information
http://www.fi.muni.cz/~kopecek/stud.htm
The course is also listed under the following terms Spring 1997, Spring 1998.

P071 Computer Acoustics and Phonetics

Faculty of Informatics
Spring 1998
Extent and Intensity
2/0. 2 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
Guaranteed by
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • Motivation and goals.
  • Basic concepts, physical and mathematical models.
  • Sound digitalization and coding.
  • Theory of sound perception and speech production, model of Corti organ.
  • Vowels and consonants characterization, formants, coarticulation.
  • Basic phonetic elements (phonemes, diphones, alophones, syllable)
  • Acoustic signal processing in time and frequency domain.
  • Segments, acoustic vectors and coding book.
  • Searching in coding book, algebraical models.
  • Programming of sound cards.
  • Principles of speech synthesis.
  • Phonetical transcription, prosody.
  • Syntactical, semantical and pragmatical relations.
  • Introduction to speech recognition.
  • Hidden Markov Models and DTW algorithms.
  • Principles of speaker recognition and verification.
  • Applications and future challenges.
Language of instruction
Czech
Teacher's information
http://www.fi.muni.cz/~kopecek/stud.htm
The course is also listed under the following terms Spring 1997, Spring 1999.

P071 Počítačová akustika a fonetika

Faculty of Informatics
Spring 1997
Extent and Intensity
2/0. 2 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
Guaranteed by
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • Motivation and goals.
  • Basic concepts, physical and mathematical models.
  • Sound digitalization and coding.
  • Theory of sound perception and speech production, model of Corti organ.
  • Vowels and consonants characterization, formants, coarticulation.
  • Basic phonetic elements (phonemes, diphones, alophones, syllable)
  • Acoustic signal processing in time and frequency domain.
  • Segments, acoustic vectors and coding book.
  • Searching in coding book, algebraical models.
  • Programming of sound cards.
  • Principles of speech synthesis.
  • Phonetical transcription, prosody.
  • Syntactical, semantical and pragmatical relations.
  • Introduction to speech recognition.
  • Hidden Markov Models and DTW algorithms.
  • Principles of speaker recognition and verification.
  • Applications and future challenges.
Language of instruction
Czech
Teacher's information
http://www.fi.muni.cz/~kopecek/stud.htm
The course is also listed under the following terms Spring 1998, Spring 1999.

P071 Computer Acoustics and Phonetics

Faculty of Informatics
Spring 2000

The course is not taught in Spring 2000

Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • Motivation and goals.
  • Basic concepts, physical and mathematical models.
  • Sound digitalization and coding.
  • Theory of sound perception and speech production, model of Corti organ.
  • Vowels and consonants characterization, formants, coarticulation.
  • Basic phonetic elements (phonemes, diphones, alophones, syllable)
  • Acoustic signal processing in time and frequency domain.
  • Segments, acoustic vectors and coding book.
  • Searching in coding book, algebraical models.
  • Programming of sound cards.
  • Principles of speech synthesis.
  • Phonetical transcription, prosody.
  • Syntactical, semantical and pragmatical relations.
  • Introduction to speech recognition.
  • Hidden Markov Models and DTW algorithms.
  • Principles of speaker recognition and verification.
  • Applications and future challenges.
Language of instruction
Czech
Further Comments
Course is no more offered.
The course is taught: every week.
Teacher's information
http://www.fi.muni.cz/~kopecek/stud.htm
The course is also listed under the following terms Spring 1997, Spring 1998, Spring 1999.
  • Enrolment Statistics (recent)