Computational Linguistics & Phonetics Computational Linguistics & Phonetics Fachrichtung 4.7 Universität des Saarlandes

Speech Technology - Pattern and Speech Recognition

Vorlesung: Computerlinguistik, M.Sc.

Leitung: Klakow
Ort: Geb. C7.2 Seminarraum
Zeit: Di 14 - 16 Uhr
Beginn: 20.10
Geeignet für: M.Sc.

Leitung: Grzegorz Crupala
Ort: Geb. C7.2 Seminarraum
Zeit: Fr 14 - 16 Uhr
Beginn: wird noch bekannt gegeben

The core of any speech recognizer is a pattern classification system. In this course, we will cover the basic principles of pattern recognition and machine learning and see how they are applied to speech recognition.

Specific topics will be:

  • Bayes Classifier
  • Normal Distribution
  • Parameter Estimation
  • Nearest Neighbor Classifier
  • Gaussian Mixture Models
  • Decision Trees
  • Hidden Markov Models
  • Conditional Random Fields
  • Acoustic modeling

Zur Homepage des Kurses

See course home page.

Most likely oral exam

Stellung im Studienplan
M.Sc. Program: Core Course , obligatory for specialization Phonetics and Speech Technology.
Standard time slot 1st semester. Area: SS&P.
Also suitable as specialised course for LT/CL

6 CP