Analysis and synthesis of oral speech
Course: «Applied (computer) Linguistics and English language»
Structural unit: Educational and Scientific Institute of Philology
Title
Analysis and synthesis of oral speech
Code
ННД 12.03
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
2
Learning outcomes
PLO 7. To understand major problems of philology and approaches to their solution with the use of relevant methods, in particular, innovative interdisciplinary approaches of applied (computational) linguistics and information technologies; to explain their interrelation in the integrated system of interdisciplinary knowledge.
PLO 12. To analyze language units, phenomena, and processes by methods of structural, mathematical, and computational linguistics; to represent the processes of analysis and synthesis of linguistic objects in an algorithmic way.
PLO: 17, 25.
Form of study
Full-time form
Prerequisites and co-requisites
1) Successful completion of courses: Introduction to Linguistics, Introduction to Computational Linguistics, Phonetics of the Ukrainian Language, Applied Phonetics, Corpus Linguistics, Basics of Informatics, Basics of Programming;
2) Knowledge of the theoretical foundations of general linguistics, phonetics of the modern Ukrainian language, mathematical and computer linguistics, computer science, and programming;
3) Mastery of phonetic analysis techniques; the basics of corpus technologies, elementary skills of mathematical and computer modeling of linguistic phenomena; mathematical basics of computer technology;
4) Ability to use phonetic and prosodic transcription; carry out corpus markup at different levels, use a programming language to solve problems of input, output, and processing of text and speech information.
Course content
Within the scope of the discipline, the main directions of the field of speech information technologies (automatic synthesis and recognition of spoken speech, speaker recognition, speech recognition) are considered; modern technologies for creating sound databases and knowledge; the methods of extracting acoustic-phonetic information from the speech flow are learned, as well as the history and current state of approaches to speech synthesis and recognition. In practical classes, students will have the opportunity to test modern speech recognition and synthesis systems, experiment with different approaches to speech synthesis, and work with modern databases and knowledge for speech recognition.
Recommended or required reading and other learning resources/tools
Jurafsky Daniel, Martin James H. Speech and Language Processing (3rd ed. draft). 2021. URL: https://web.stanford.edu/~jurafsky/slp3/
Johnson Keith. Acoustic and Auditory Phonetics. 3rd Edition. Wiley-Blackwell, 2011. 129 p.
Kabir, M.M., Mridha, M.F., Shin, J., Jahan, I. and Ohi, A.Q., 2021. A survey of speaker recognition: Fundamental theories, recognition methods and opportunities. IEEE Access, 9, pp.79236-79263.
Khan, R.A. and Chitode, J.S., 2016. Concatenative speech synthesis: A Review. International Journal of Computer Applications, 136(3), pp.1-6.
Klatt, Dennis H. Software for a cascade/parallel formant synthesizer. The Journal of the Acoustical Society of America 67, 971 (1980).
Planned learning activities and teaching methods
Lectures, seminars, and laboratory classes, independent work.
Types of work:
Answer at the seminar session;
Lab;
Report-analysis of scientific literature;
Independent practical work (individual task/participation in a joint project).
Assessment methods and criteria
During the semester, evaluation is carried out according to the types of work (answers in a seminar class, laboratory work, report-analysis of scientific literature, independent practical work (individual task/participation in a joint project)). The credit is given based on the results of the student's work during the entire semester and does not include additional assessment measures. Students who scored the minimum positive number of points - 60, receive - "Passed". Students who did not score the minimum positive number of points - 60, receive - "Failed".
Language of instruction
Ukrainіаn
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline