CENG549 Speech Processing I

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG549
Name Speech Processing I
Term 2022-2023 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ZEKERİYA TÜFEKCİ


Course Goal / Objective

The objective of this course is to provide the fundamentals concepts of speech production and modeling, speech analysis, and speech coding and synthesis.

Course Content

This course covers speech production and modeling, analysis of speech signals, Linear Prediction analysis of speech signals, cepstral analysis, and speech coding and synthesis

Course Precondition

Resources

Discrete Time Processing of Speech Signals John R. Deller

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows speech production and how to model speech production
LO02 Can analyse speech signals
LO03 Can apply linear prediction and cepstral analysis methods to speech signals.
LO04 Knows basic speech coding and synthesis techniques


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 5
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 4
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 4
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 4
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 4
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 4
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 4
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 4
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 3
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 4
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 3
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities. 4


Week Plan

Week Topic Preparation Methods
1 Anatomy of the Speech Production System Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Phonemics and Phonetics Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Acoustic Theory of Speech Production Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Discrete Time Modeling of Speech Production Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Lossless Tube Analysis of Speech Production Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Short Term Processing of Speech Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Short Term Features and Aplications Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav
9 Long Term Linear Prediction Analysis Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Short Term Linear Prediction Analysis Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Applications of LP in Speech Analysis Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Real Cepstrum Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Complex Cepstrum Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Waveform Coding Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Vocoders Reading related chapter in the textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading lecture notes and related chapters in the textbook Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 14.11.2022 10:33