Ukraine, Lviv

Automatic Speech Recognition

when 27 April 2016 - 27 April 2016
language English
credits 0.5 ECTS
fee EUR 300

The aim of the course is to make students familiar to the fundamentals of the speech recognition technology. We will learn how to extract informative features from speech, how to model speech dynamics with hidden Markov models, and how to build language models corresponding to the task domain. A brief historical overview of the speech recognition methods as well as the future trends will be given. During the practical part of the course students will be proposed to develop a basic speech recognizer using modern open-source software.

Course tools
Python, Java, CMU Sphinx

Prerequisits
General knowledge on machine learning, basic programming skills, neural networks (optional).

Course leader

Mr. Dmytro Prylipko
Machine Learning Engineer & Software Developer

Affiliation: BuddyGuard UG, Otto-von-Guericke University Magdeburg, Germany

Fields of interests: Speech processing, computer vision.

Target group

This course is targeted to bachelors, masters, PhD students, lecturers and specialists in Computer Science Bioinformatics and Computational Biology, Statistics, Mathematics, Electrical and Computer Engineering, Chemical and Biological Engineering, Industrial Engineering, Material Science and Engineering, Neuroscience, Human-Computer Interaction, Psychology, Business and related discipines

Credits info

0.5 ECTS
This course is a part of Lviv Computer Science Summer School (whole school's credit cost is 3 ects)

Fee info

EUR 300: This course is a part of Lviv Computer Science Summer School (whole school's cost is 300 EUR)
EUR 350: This course is a part of Lviv Computer Science Summer School (whole school's cost is 350 EUR)