Name: Hrafn Loftsson
Projects: Natural Language Processing, Named Entity Recognition, Machine Translation of Icelandic and English
Bio: Hrafn Loftsson completed his B.Sc. in Computer Science from the University of Iceland in 1989 and his M.Sc. in Computer Science and Operations Research from Pennsylvania State University, USA, in 1992. Hrafn joined Reykjavik University in 2000 after having spent about 8 years working for trading firms and investments banks in the USA, England and Iceland. In 2007, Hrafn completed his Ph.D. in Computer Science (NLP) from the University of Sheffield, England.
Hrafn’s current research focuses primarily on the development of a Basic Language Resource Kit (BLARK) for the Icelandic language – including modules to perform morphological analysis, part-of-speech tagging, parsing, machine translation, and computer-assisted language learning.
Name: Jón Guðnason
Projects: Eyra, Spoken Dialog System for Automatic Flight Assistant in Icelandic
Bio: Jon Gudnason received his M.Sc. degree from the University of Iceland and a Ph.D. degree from Imperial College London. He is an associate professor of electrical engineering at Reykjavik University Iceland and chairman of the Center for Analysis and Design of Intelligent Agents (CADIA). He previously had research positions at Imperial College London and Columbia University in New York. He is a member of the board of IEEE Iceland Section and is a member of ISCA. His studies focus on on the nature of the voice source, the nature of the voice production and what effect it has on speech applications such as recognition and synthesis. He is also interested in robotics and the application of machine learning to speech processing. Hobbies include swimming, hiking and reading good books.
Name: Eydís Huld Magnúsdóttir
Project: Voice patterns in air-traffic control
Publications: “Cardiovascular monitoring of cognitive workload: Comparing high and low cognitive capacity individuals,” “Cognitive workload classification using cardiovascular measures and dynamic features,” “Monitoring Cognitive Workload Using Vocal Tract and Voice Source Features,” “Vocal tract and voice source features for monitoring cognitive workload”
Bio: Eydís received her MSc. in Engineering from Reykjavík University in 2014 and defended her PhD thesis in January of 2019. Her research interests are in detection of automatic reactions from biological signals. Her interests include cognitive workload detection, speech processing, cardiovascular signal processing and the applications of learning methods to feature sets from these. Her interests are yoga, reading and all kinds of brain teasers and games.
Name: Michal Borský
Project: Objective assessment of voice quality
Publications: “Modal and nonmodal voice quality classification using acoustic and electroglottographic features,” “Classification of voice modes using neck-surface accelerometer data,” “Classification of Voice Modality using Electroglottogram Waveforms,” “Dithering Techniques in Automatic Recognition of Speech Corrupted by MP3 Compression: Analysis, Solutions and Experiments, ” “Spectrally Selective Dithering for Distorted Speech Recognition.”
Bio: Mr. Borský is a post doctoral researcher working on algorithms and models for voice quality assessment for diagnosis and treatment of voice disorders. His scientific interests include DSP, acoustic modeling, distorted speech processing, audio coding and phonetics. His hobbies are reading books, cycling, hiking, power lifting, and eating good food.
Name: Steinþór Steingrímsson
Project: Machine Translation
Publications: “Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical Category Identification Step”, “Compiling and Filtering ParIce: An English-Icelandic Parallel Corpus” and “Risamálheild: A Very Large Icelandic Text Corpus”
Bio: Steinþór is a PhD student working on machine translation. He is interested in data augmentation for low-resource machine translation and machine translation for morphologically rich languages. Steinþór also works at Árnastofnun, building and maintaining text corpora and other language resources.
Name: Jón Friðrik Daðason
Project: Automatic Text Summarization for Icelandic
Publications: “Nefnir: A high accuracy lemmatizer for Icelandic”, “Utilizing Constituent Structure for Compound Analysis” and “The Journal Fjölnir for Everyone: The post-processing of historical OCR texts”
Bio: Jón is a PhD student working on automatic text summarization. His research interests include text mining, spelling correction, morphological analysis and language technology for historical texts.
Bio: An electrical and computer engineer by training and software developer by trade. Currently working on the application of automatic speech recognition and natural language processing for Icelandic to real world problems. Chief executive officer of Læknarómur, a startup company that aims to provide ASR and NLP solutions for the health care industry.
Name: Judy Fong
Project: ASR for Parliamentary Speeches, LVL Webmaster
Bio: Judy likes programming and reading fiction. When she’s not working, she likes to play with raspberry pis and other hobby projects.
Name: Inga Rún Helgadóttir
Project: ASR for Parliamentary Speeches
Publications: “Building an ASR corpus using Althingi’s Parliamentary Speeches”
Bio: Inga’s background is in physics, but she’s been working on the Alþingi project since 2016, and loving it. In her free time she likes hanging out with friends, travelling, playing board games and card games, reading, watching good TV series and dancing. CV
Name: Helga Svala Sigurðardóttir
Project: Language Technology Project – TTS
Bio: M.Sc. in machine learning with a focus on language technology. B. Sc. in computational computer science with the same focus. Before that, music studies with another focus.
Bio: A computer scientist with a M.Sc. in Logic and Computation from the University of Amsterdam. The study put an emphasis on how to combine statistical and symbolic approaches to AI. A long time enthusiast of NLP.
Name: Atli Thor Sigurgeirsson
Projects: Semi-supervised End-to-End Automatic Speech Recognition, End-to-End neural Text to Speech Synthesis, Unit selection TTS
Publication: A Semi-Supervised Approach to Automatic Speech Recognition Training For the Icelandic Language
Bio: M.Sc. in Machine Learning from the Royal Institute of Technology in Stockholm. I’m interested in end-to-end models in both the ASR and TTS domain and ways to leverage them under low resource conditions.
Name: Hilmar Ásgeirsson
Projects: Language Technology Project – Project management
Bio: MBA in Finance, Project Management APME / IMPA-D and over a decade experience in management. Interests include board games and hiking.
Anna Björk Nikulásdóttir
Alexander Danielsson Moses
Laurens van der Werff
Svanhvít Lilja Ingólfsdóttir (Masters in Language Technology)
Ásmundur Guðjónsson (Masters in Language Technology)
Egill Anton Hlöðversson (Masters in Language Technology)
David Erik Mollberg (Masters in Language Technology)
Tinna Þuríður Sigurðardóttir (Masters in Language Technology)
Guolin Fang (Masters in Language Technology)
Gunnar Pálsson (Masters in Language Technology)
Anna Vigdís Rúnarsdóttir
Símon Elvar Vilhjálmsson
Guðjón Hugberg Björnsson
Július Pétur Guðjohnsen