8003163
SPEECH RECOGNITION,
SPEECH RECOGNITION, 3 ov
Lecturer info
KONSTA KOPPINEN
Lectures and exercises:
Lectures 28h, Exercises 28h.
Lecture room and time
Thursday 14 - 16, TC133
Weekly teaching / period |
|
|
|
|
|
Lectures (h): |
- |
- |
2+ |
2 |
- |
Exercises (h): |
- |
- |
2+ |
2 |
- |
Content of the course
Details of speech recognizers: feature extraction, hidden Markov models (HMMs), language models, adaptation methods. Speaker identification and verification. Selected advanced topics on statistical pattern recognition. Examples of using speech recognition techniques in different audio content recognition applications, neural networks applied to speech recognition.
Requirements
Exam, exercises and a project work.
Literature
Rabiner, L. & Juang, B-H., "Fundamentals of Speech Recognition", Prentice Hall, 1993. Duda,R.O., Hart, P.E. & Stork, D.G., "Pattern Classification", Wiley, 2000. haykin, S., "Neural Networks - Second Edition", PPrentice Hall, 1999. Selected articles.
Information on prerequisites
8001652 and either 8000104 or 8000152.
Prerequisites
Number |
Name |
|
|
8000104 |
4 |
Obl. |
|
8000152 |
2 |
Obl. |
|
8003051 |
1 |
Recomm. |
|
73050 |
3 |
Recomm. |
|
7303031 |
4 |
Recomm. |
|
8001652 |
2 |
Obl. |
Notes
Replaces courses 8003153 and 80533. Accepted as a postgraduate course.