Specialization Details
Sound, Speech and Natural Language Processing
Abbreviation: NSPE
Length of Study: 2 years
Min. Credits: 120
Degree Programme: Information Technology and Artificial Intelligence
Language of Instruction: Czech
Form of Study: full-time
Accredited from: 2019 Accredited till: 2029
Specialization is focused on audio, speech and text processing. It covers sound, speech and text from signal generation (music acoustics), signal processing, to machine learning and interpretation of results. There is a strong representation of machine learning courses, which is now the basis of most research and applied sound, speech and text systems.
State Exam in Information Technology and Artificial Intelligence, specialization Audio, Speech and Natural Language Processing consists of the following parts:
- presentation and defense of Master's thesis,
- oral exam, which combines the basic themes contained in the subjects profiling the basis of Information Technology and Artificial Intelligence (Theoretical Computer Science, Statistics and Probability, Computer Systems Architectures, Artificial Intelligence and Machine Learning, Data Storage and Preparation, Functional and Logic Programming, Parallel and distributed algorithms, Modern trends in informatics),
- oral exam, which combines the basic themes contained in the subjects profiling the basis of Sound, Speech and Natural Language Processing (speech processing, natural language processing, digital signal processing, convolutional neural networks, machine learning and recognition, fundamentals of music acoustics, linear algebra).
All parts of the state examination are held on the same date before the State Examination Board. The state exam can be taken by a student who has obtained the required number of credits in the prescribed composition necessary for the successful completion of the master's degree and has submitted the Master's thesis in due time. The organization and course of the state examination are given by the corresponding internal standard of the faculty and by the relevant instructions of the program guarantor for state examinations.
- Microphone Arrays for Speaker Recognition
- Software Multi-Effect for Post-Production of Pop Music
- Identifying Entity Types Based on Information Extraction from Wikipedia
- Word Sense Clustering
- Unsupervised Adaptation of Speech Recognizer
Choose academic year and curriculum
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
AVS | Computation Systems Architectures | 5 | C | Cr+Ex | FIT |
MSP | Statistics and Probability | 6 | C | Cr+Ex | FME |
SUI | Artificial Intelligence and Machine Learning | 5 | C | Ex | FIT |
TIN | Theoretical Computer Science | 7 | C | Cr+Ex | FIT |
UPA | Data Storage and Preparation | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
FLP | Functional and Logic Programming | 5 | C | Cr+Ex | FIT |
PRL | Parallel and Distributed Algorithms | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
SEP | Semester Project | 5 | C | ClCr | FIT |
PP2 | Project Practice 2 | 5 | E | ClCr | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
DIP | Master's Thesis | 13 | C | Cr | FIT |
Duty: C - compulsory, CEx - compulsory-elective group x, R - recommended, E - elective