Opinto-opas 2005-2006

SGN-4106 SPEECH RECOGNITION, 5 cr
SPEECH RECOGNITION

Person responsible
Lecturer Konsta Koppinen

Lecturers
Konsta Koppinen, Lecturer, room TF317, konsta.koppinen@tut.fi

Lecture room and time
Per V: Monday 12 - 14, TB214
Per V: Wednesday 12 - 14, TB214

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture - - - - 4 h/week - In English only
Exercise - - - - 2 h/week - In English only
Exam   In finnish and in english if asked
(Academic Calender 2005-2006)

Objectives
Teaches the basics of automated speech recognition, particularly the use of hidden Markov models and neural networks.

Contents
Content Core content Complementary knowledge Specialist knowledge
1. Hidden Markov models (HMM)       
2. Language models       
3. Adaptation methods       
4. Neural networks for text-to-phoneme mapping       

Requirements for completing the course
Final examination, exercises and assignment.

Assessment criteria
Exam, exercises and project work.

  • Used assessment scale is numeric (1-5)
  • Study material
    Type Name Author ISBN URL, edition, availablitity... 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 
    Summary of lectures "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
    Number Name Credits M/R
    MAT-20500 Probability Calculus 3 Recommendable
    SGN-2506 Introduction to Pattern Recognition 4 Mandatory
    SGN-4010 Speech Processing Methods 2 Mandatory

    Other comments

  • The course is suitable for postgraduate studies.
  • Correspondence of content
    8003163 Speech Recognition

    Course homepage

    Last modified 25.08.2005
    Modified byAntti Niemistö