VOICE AND NATURAL LANGUAGE PROCESSING
| Title | ΕΠΕΞΕΡΓΑΣΙΑ ΦΥΣΙΚΗΣ ΓΛΩΣΣΑΣ ΚΑΙ ΦΩΝΗΣ / VOICE AND NATURAL LANGUAGE PROCESSING |
| Code | ΔΜ1045 |
| Interdepartmental Programme | PPS Advanced Computer and Communication Systems |
| Collaborating Schools | Electrical and Computer Engineering Medicine Music Studies Journalism and Mass Communications |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Athanasia Printza |
| Common | No |
| Status | Active |
| Course ID | 600004458 |
Programme of Study: PPS Advanced Computer and Communication Systems
Registered students: 11
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| EUFYĪ KAI AUTONOMA SYSTĪMATA-METHODOLOGIES YPOLOGISTIKĪS NOĪMOSYNĪS KAI EFARMOGES | Elective Courses | 1 | 1 | 5 |
Programme of Study: PPS Advanced Computer and Communication Systems
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Eyfyī systīmata-Methodologíes ypologistikīs noīmosýnīs kai efarmogés | Elective Courses | 1 | 1 | 5 |
| Diktyakī Ypologistikī- Īlektronikó Ebório | Elective Courses | 1 | 1 | 5 |
| Academic Year | 2020 – 2021 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 24 |
| Class ID | 600177749
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600177749
- At the Website of the School: ee.auth.gr
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
After completing the course, the students will be able to identify, analyze, and process basic parameters of voice signals. They will also be able to understand and suggest basic ways of processing and analyzing voice for specific problems, e.g. voice recognition. Finally, they will be able to recognize the basic features of the physiology of the voice and its association with the above technical characteristics.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Appreciate diversity and multiculturality
- Respect natural environment
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
The aim of the course is to acquire knowledge in:
1) the production and perception of voice and language
2) disorders of production and perception of speech and language
3) models of digital recording and processing of voice and language (oral and written) and their disorders and deviations
4) voice and language reproduction models (oral and written)
in order to apply this knowledge in the following:
1) high-tech systems (eg voice recognition systems, use of digital audio in robotic applications, cinema and video applications - self-learning systems, robot-interpreters, automatic translators, human-machine communication systems, human communication systems, etc)
2) medical applications (eg use of digital audio recording to diagnose and monitor voice disorders, use of cochlear implants to restore hearing, use of electrical stimuli to restore language perception and reproduce voice; etc)
Keywords
voice, language, processi
Educational Material Types
- Slide presentations
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 15 | ✓ | ✓ | ||
| Laboratory Work | 3 | ✓ | ✓ | ||
| Reading Assigment | |||||
| Clinical Practice | |||||
| Interactive Teaching in Information Center | |||||
| Exams | |||||
| Total | 18 |
Student Assessment
Description
Semester exams
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
Bibliography
Additional bibliography for study
1. Allen J. Natural Language Understanding. Ed. Benjamin/Cummings, 2nd ed., 1995.
2. Altman G. (ed.) Cognitive Models of Speech Processing: psycolinguistic and computanional perspectives, MIT Press, Cambridge, Mass, 1990.
3. Baken R. An Overview of Laryngeal Function for Voice Production. In:
Sataloff R, ed. Professional Voice. The Science and Art of Clinical Care.
San Diego: Singular Publishing Group, pp. 147-165, 1997.
4. Bernen N.O., Dybkjaer H, Dybkjaer L. Designing interactive speech systems: from first ideas to user testing, Springer-Verlag N.Y., 1998.
5. Bishop, C.M. Neural Networks for Pattern Recognition. Oxford University Press, 1995.
6. Bless D, Glaze L, Lowery D, Campos G, Peppard R. Stroboscopic, acoustic,
aerodynamic and perceptual analyses of voice production in normal speaking
adults: NCVS Status and progress Report,4, pp. 121-134, 1993.
7. Dejonckere P. A basic protocol for functional assessment of voice
pathology: Guideline by the Committee on Phoniatrics of the European
Laryngological Society, 2000.
8. Dejonckere P. Perceptual and laboratory assessment of dysphonia.
Otolaryngologic Clinics of North America 33 (3): 731-750, 2000.
9. Fink R, Demarest R. Laryngeal Biomechanics. Cambridge: Harvard University Press, 1978.
10. Fresnel-Elbaz E. Exploration de la phonation. In: P Courtrat C, Elbaz P,
ed. Explorations fonctionelles en ORL. Paris: Masson, pp. 146-175, 1994.
11. Hirano M. Clinical examination of the voice. New York: Springer-Verlag, p.
1-98, 1981.
12. Jelinek F. Statistical Method for Speech Recognition, MIT Press, Cambridge Massachusetts, 1998.
13. Jiang J, Lin E, Hanson D. Vocal fold physiology. The Otolaryngologic
Clinics of North America 33 (4): 699-712, 2000.
14. Leech G. Principles of Pragmatics. UK: Longman (1983).
15. Levinson SC. Pragmatics. Cambridge: CUP (1983).
16. Markovitch J. Using Speech Recognition, Prentice Hall, 1996.
17. Mc Kevitt P. (ed.). Integration of Natural Language and Vision Processing, Vol. I-IV, Dordrecht, Kluwer, 1995/1996.
18. Owens F.J. Signal Processing of Speech, Macmillan, 1993.
19. Sataloff, Heuer R, Emerich K, Baroody M, Rulnick R, Hawkshaw M. The
Clinical Voice Laboratory. In: Sataloff R, ed. Professional Voice: The
science and Art of Clinical Care. San Diego: Singular Publishing Group, pp.
215-243, 1997.
20. Saeed J. Semantics. Oxford: Blackwell (1997).
21. Titze I. Vocal fold physiology: Frontiers in basic science. San Diego:
Singular Publishing, 1993.
22. Young S. and Bloothooft G. Corpus-based Methods in Language and Speech Processing, Kluwer, 1997.
Last Update
03-07-2020
