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SGN-4106 SPEECH RECOGNITION, 5 cr
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Courses persons responsible
Konsta Koppinen
Lecturers
Konsta Koppinen
Lecturetimes and places
Per V: Monday 12 - 14, TB214
Per V: Wednesday 12 - 14, TB214
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | - | - | 4 h/week | - |
| Exercise | - | - | - | - | 4 h/week | - |
| Exam | ||||||
Objectives
Teaches the basics of automated speech recognition, particularly the use of hidden Markov models and neural networks.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Front-end of a speech recognizer, cepstral coefficients | ||
| 2. | Training of Hidden Markov models (HMM) | ||
| 3. | Adaptation methods | ||
| 4. | Language models |
Requirements for completing the course
Final examination and exercises.
Evaluation criteria for the course
Study material
| Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
| Book | "Fundamentals of Speech Recognition" | Rabiner, L. & Juang, B-H. | Prentice Hall, 1993 | No | English | ||
| Book | "Pattern Classification" | Duda, R.O., Hart, P.E. & Stork, D.G. | Wiley, 2000 | No | English | ||
| Book | "Neural Networks - Second Edition" | Haykin, S. | Prentice Hall, 1999 | No | English | ||
| Book | "Automatic Speech and Speaker Recognition-Advanced Topics" | Lee, C.H.,Soong, F.K.,Paliwal,K.K. | Kluwer Academic Publishers, 1996 | No | English | ||
| Book | "Robust Speech Recognition in Embedded Systems and PC Applications" | Junqua, J.C. | Kluwer Academic Publishers, 2000 | No | English | ||
| Lecture slides | "Speech Recognition" | Konsta Koppinen | Yes | English | |||
| Journal | "Statistical Pattern Recognition: A Review" | Jain, Duin, Mao | IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, Jan. 2000 | No | English | ||
| Journal | "A tutorial on hidden Markov models and selected applications in speech recognition" | Rabiner, L.R. | Proceedings of the IEEE , Volume: 77 Issue: 2 , Feb. 1989 | No |
Prerequisites
| Code | Course | Credits | M/R |
| MAT-20500 | MAT-20500 Probability Calculus | 3 | Recommendable |
| SGN-2506 | SGN-2506 Introduction to Pattern Recognition | 4 | Mandatory |
| SGN-4010 | SGN-4010 Speech Processing Methods | 2 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Remarks
Can be done via remote learning in the KIT-network, see the course homepage for instructions.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In distributing and/or returning exercise work, material etc
- Contact teaching: 30 %
- Distance learning: 0 %
- Proportion of a student's independent study: 70 %
Scaling
| Methods of instruction | Hours |
| Lectures | 48 |
| Exercises | 72 |
| Assignments | 1 |
| Other scaled | Hours |
| Preparation for exam | 15 |
| Exam/midterm exam | 3 |
| Total sum | 139 |
Correspondence of content
8003163 Speech Recognition
| Last modified | 06.10.2006 |
| Modified by | Konsta Koppinen |