Course Overview

The University of Eastern Finland (UEF) hosts a number of different summer courses in August 2024. The course Machine Learning for Speech is organized by the School of Computing of the UEF. Contact teaching takes place at the Joensuu campus of the UEF from August 12th to 16th.

The course is intended as a brief introduction to machine learning techniques and their application to selected speech applications. We focus in particular to speaker and language recognition, speech recognition, text-to-speech, voice anti-spoofing, and will briefly touch upon other miscellaneous topics. The course will involve lectures, practicals / computer exercises, and learning diary. While no formal pre-requirements are set, sufficient programming knowledge and certain level of mathematics/statistics (linear algebra and probability theory) will be helpful for the maximum benefit of the participant. The foreseen programming tools in the 2024 course edition include Python, Numpy, PyTorch, and Google Colab.

General Course Information

Venue: Joensuu campus M100/M103 (Metria building)
Dates: 12-16 August 2024
Credits: 3 or 5 ECTS
Teaching language: English
Level: Doctoral, Master, Bachelor
Course materials: Will be delivered to registrants through the Moodle environment of Digicampus https://digicampus.fi

The course amounts to either 3 ECTS or 5 ECTS, depending on the mode:

A. Lectures + Quizzes + Practicals + Learning Diary (August 12 - 16), total 3 ECTS
B. The A. part + individual project (Completed after the cource), total 5 ECTS

The course contains 5 days of lectures (quizzed), hands-on practicals in Google Colab, a learning diary and (optional) project work. The course will be assessed as pass/fail. Students who pass the course will receive a course certificate.

Social Program

The course involves social programme organized by the UEF. The activities will mostly be included in your course fee, but some of them may have a small participation fee. For more details, see https://www.uef.fi/en/uef-summer-school-courses.