Machine Learning Applied to Speech Technology and Autonomous Agents

Campus Joensuu

Duration and credits: 2 weeks, 5 ECTS
Teaching language: English
Level: Master and doctoral students
Max. number of attendees: not limited
Course coordinators: Tomi Kinnunen, and Ville Hautamäki,
Responsible department: School of Computing
Learning outcomes: Basics of machine learning and its applications to autonomous agents (like robots) and speech technology.

Content (to be updated soon)

  • Basics of machine learning (lectures two days + practical assignments)
  • Speech technology (lectures one day + practical assignments)
  • Autonomous agents (lectures one day + practical assignments)

Modes of study: Lectures, practicals, learning diary
Study materials: delivered during the course
Evaluation criteria: pass/fail
Teachers: Lectures: Tomi Kinnunen, Ville Hautamäki, Akihiro Kato, Rosa Gonzalez-Hautamäki, Post-doc N.N. guest lecturers outside UEF;
Practicals: Ville Vestman, Anssi Kanervisto, Trung Ngo Trong, Ivan Kukanov;