All teaching activities will take place at M100/M103 (Metria building).

	MON 12.8	TUE 13.8	WED 14.8	THU 15.8	FRI 16.8
	Introduction to machine learning and speech	Statistical models and explainability	Getting started with deep Learning	Applications I	Applications II
09:15 - 10:45	Tomi Kinnunen: Course Introduction	Satu Hopponen: Introduction to Phonetics	Jagabandhu Mishra: Introduction to Deep Learning	Tomi Kinnunen: Speaker recognition	Sébastien Le Maguer: Evaluation of TTS
10:45 - 11:00	Break	Break	Break	Break	Break
11:00 - 12:30	Practicals I: Gender Recognition	Rosa González Hautamäki & Tomi Kinnunen: Explainabilty	Practicals IV: Spoken Digit Recognition	Practicals VI: speaker embedding extraction & application	Tomi Kinnunen: Spoofing & anti-spoofing
12:30 - 13:30	Lunch break	Lunch break	Lunch break	Lunch break	Lunch break
13:30 - 15:00	Tomi Kinnunen: Machine Learning	Practicals II: Mixed Effect Modeling of Speech Features	Vishwanath Pratap Singh: Data Augmentation	Jagabandhu Mishra: Language recognition & diarization	Cemal Hanilci: Spoofing countermeasures
15:00 - 15:15	Break	Break	Break	Break	Break
15:15 - 16:45	Tomi Kinnunen: Speech analysis	Practicals III: Decision Trees	Practicals V: ASR	Sébastien Le Maguer: Speech synthesis	Practicals VII: Anti-spoofing for speaker verification
17:00 - 21:00		Social programme: Karelian Pie Workshop at Marttakeskus	Social program: Sauna Evening at Vainoniemi Sauna		Farewell dinner (Kerubi)

 

More info on social program: https://www.uef.fi/en/uef-summer-school-courses