Speech and Natural Language Processing | Τμήμα Πληροφορικής και Τηλεπικοινωνιών ΕΚΠΑ

Semester:

8th

Course Type:

Elective Specialization courses (ΠΜ-E)

Track:

CΕT (Computer Engineering and Telecoms)

Code:

ΕΠ19

ECTS:

TEACHING HOURS per week

Theory:

Seminar:

Laboratory:

Specializations

Foundations of Computer Science (S1):

Data and Knowledge Management (S2):

Software (S3):

Hardware and Architecture (S4):

Communications and Networking (S5):

Signal and Information Processing (S6):

B Βασικό

Related Courses

Detailed Description

DIT_PPS_EP19-Speech and Natural Language Processing.pdf

Course Content

Basic characteristics of speech signals. Mechanisms and models of speech production. Hearing and perception of speech. Methodologies for Digital analysis of speech signals. The Linear Prediction Coding method. Digital coding of speech. Text to speech conversion. Speech recognition methods. Natural language processing in textto-speech and in speech recognition. Speech in human-computer interaction. Applications of speech processing in information and telecommunication systems.

LITERATURE AND STUDY MATERIALS - READING LIST

G. Kouroupetroglou «Lessons of Speech Processing», Athens 2005, Lecture Notes in Greek (available through the e-class)
L. Rabiner “Digital Speech Processing: Theory and Applications”, Paschalidis Editions, Greek translation, 2011

e-Class link

Speech and Natural Language Processing - ECLASS

Διδάσκων

Kouroupetroglou Georgios