Course Catalog 2009-2010
International

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-4106 Speech Recognition, 5 cr

Person responsible

Konsta Koppinen

Implementations

No implementations

Requirements

Final examination and exercises.

Principles and baselines related to teaching and learning

-

Learning outcomes

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     


Evaluation criteria for the course

Exam and exercises.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   "Automatic Speech and Speaker Recognition-Advanced Topics"   Lee, C.H.,Soong, F.K.,Paliwal,K.K.       Kluwer Academic Publishers, 1996      English  
Book   "Fundamentals of Speech Recognition"   Rabiner, L. & Juang, B-H.       Prentice Hall, 1993      English  
Book   "Neural Networks - Second Edition"   Haykin, S.       Prentice Hall, 1999      English  
Book   "Pattern Classification"   Duda, R.O., Hart, P.E. & Stork, D.G.       Wiley, 2000      English  
Book   "Robust Speech Recognition in Embedded Systems and PC Applications"   Junqua, J.C.       Kluwer Academic Publishers, 2000      English  
Book   Spoken language processing   Huang, Acero, Hsiao-Wuen Hon            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      Suomi  
Journal   "Statistical Pattern Recognition: A Review"   Jain, Duin, Mao       IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, Jan. 2000      English  
Lecture slides   "Speech Recognition"   Konsta Koppinen            English  


Prerequisites

Course Mandatory/Advisable Description
MAT-20500 Probability Calculus Advisable    
SGN-2506 Introduction to Pattern Recognition Mandatory    
SGN-4010 Speech Processing Methods Mandatory    

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-4106 Speech Recognition, 5 cr 8003163 Speech Recognition, 3 cu  

Last modified16.06.2009
ModifierKonsta Koppinen