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ISCApad Archive  »  2017  »  ISCApad #229  »  Events  »  Other Events  »  (2017-08-14) Course: Machine Learning Applied to Bioinformatics and Speech Technology, Univ. Joensuu, Finland

ISCApad #229

Monday, July 10, 2017 by Chris Wellekens

3-3-23 (2017-08-14) Course: Machine Learning Applied to Bioinformatics and Speech Technology, Univ. Joensuu, Finland
  
UEF SUMMER SCHOOL 2017 Joensuu, Finland http://summerschool.uef.fi/ August 14-25, 2017 ***** Registration deadline: May 26, 2017 ***** -o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o-o Course: Machine Learning Applied to Bioinformatics and Speech Technology http://www.uef.fi/en/web/summerschool/machine-learning-applied-to-bioinformatics-and-speech-technology Course has two options: * Lectures + learning diary (August 14 - 18), total 2 ECTS * Lectures + learning diary + individual project (August 14 - 25), total 5 ECTS Teaching language: English Level: Doctoral, Master University of Eastern Finland (UEF) hosts a number of different summer courses in August 2017. The course on Machine Learning Applied to Bioinformatics and Speech Technology is co-organized by the School of Computing (Speech track) and Institute of Biomedicine (Bioinformatics track). Contact teaching takes place from August 14th to 18th. Individual optional project work is from August 21th to 25th. Contents The first two days include a general introduction to machine learning including topics such as deep learning, Bayesian graphical models and modeling sequential data. Course is intended to be self-contained with no prior knowledge of machine learning required. After the introductory part, the participants will choose one of the alternative course tracks (speech technology or bioinformatics). The lectures are delivered physically in two different locations of the UEF campuses, Joensuu and Kuopio (150 km apart). But it is possible to attend the lectures of either course from both campuses remotely through a video connection provided by UEF. The speech processing teaching takes place in Joensuu and bioinformatics teaching in Kuopio. In the speech/audio track we focus on state-of-the-art automatic speaker verification (ASV) and spoken language identication (LID) technology. In addition to introducing the basic models and software tools for session/channel compensation to increase robustness (e.g. factor analysis and i-vectors), the topics include also audio forensics and speech anti-spoofing (or presentation attack detection) techniques, including the ASVspoof challenge series. Using these techniques system would be able to know whether recorded audio was tampered somehow or that the spoken by a human or produced by a machine. Open-source software tools will also be introduced. The speech track is recommended especially for PhD students (and MSc students close to graduation) who might be already familiar with the basics of speech processing and interested in obtaining a quick overview of both basic principles, state-of-the-art techniques and selected emerging trends in speaker and language recognition. Speech processing confirmed lecturers: Cemal Hanilci, Bursa Technical University, Turkey Ville Hautamäki, University of Eastern Finland (organizer) Tomi Kinnunen, University of Eastern Finland (organizer) Kong Aik Lee, Institute for Infocomm Research, Singapore Modes of study: Lectures (4 days), hands on practicals (1 day), project work (1 week) and learning diary Social program: We will also organise some guided social programme in the evenings and during the weekend. This will include a welcome dinner, a guided city tour by bus, sauna evening, a one-day trip to Koli national park during the weekend etc. The activities will mostly be included in your course fee, but some of them may have a small participation fee. Assessment: pass/fail. Students who pass will receive certificate. Registration: http://www.uef.fi/en/web/summerschool/how-to-apply Registration fee: 500 EUR Accommodation: http://www.uef.fi/en/web/summerschool/accommodation More information: villeh@cs.uef.fi and tkinnu@cs.uef.fi

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