TÜRKÇE
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Information
| Code | CENG560 |
| Name | Speech Processing II |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| 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 Instructor |
1 |
Course Goal / Objective
The objective of this course is to provide the fundamentals concepts of speech recognition systems based on Dynamic Time Warping, Hidden Markov Model, and Artificial Neural Network
Course Content
This course covers speech recognition systems based on Dynamic Time Warping, Hidden Markov Model, and Artificial Neural Network
Course Precondition
no prerequisites
Resources
Discrete Time Processing of Speech Signals John R. Deller
Notes
Spoken Language Processing A guide to Theory, Algorithm, and System Development. X. Huang, A. Acero, H. W. Hon
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Designs Dynamic Time Warping Based Speech Recognition Systems |
| LO02 | Designs Hidden Markov Model Based Speech Recognition Systems |
| LO03 | Designs Artificial Neural Network Based Speech Recognition Systems |
| LO04 | Understands Language Modeling |
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. | |
| 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. | 1 |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the new and developing practices of his / her profession and examining and learning when necessary. | 3 |
| 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. | 3 |
| 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. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. | |
| 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 | The Speech Recognition Problem | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Dynamic Programming | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Dynamic Time Warping Applied to Isolated Word Recognition | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Dynamic Time Warping Applied to Continuous Speech Recognition | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Training Issues in Dynamic Time Warping Algorithms | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Introduction to Hidden Markov Model | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Discrete Observation Hidden Markov Model | 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 | Continuous Observation Hidden Markov Model | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Acoustic Modeling Using Hidden Markov Model | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Training and Recognition | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Isolated Word and Continuous Speech Recignition Using HMM | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Language Modeling | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | N-Gram Statistical Models | Reading related chapter in the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Artificial Neural Network Based Speech Recognition Systems | 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 | ||