Iulia Lefter
Delft University of Technology
36 Papers
101 Citations
Iulia Lefter is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Computer science & Aggression. The author has an hindex of 11, co-authored 27 publications.
Chat about Author
Papers
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates
Björn Schuller,Anton Batliner,Christian Bergler,Cecilia Mascolo,Jing Han,Iulia Lefter,Heysem Kaya,Shahin Amiriparian,Alice Baird,Lukas Stappen,Sandra Ottl,Maurice Gerczuk,Panagiotis Tzirakis,Chloë Brown,Jagmohan Chauhan,Andreas Grammenos,Apinan Hasthanasombat,Dimitris Spathis,Tong Xia,Pietro Cicuta,Léon J. M. Rothkrantz,Joeri A. Zwerts,Jelle Treep,Casper S. Kaandorp +23 more
- 24 Feb 2021
TL;DR: The INTERSPEECH 2021 Computational Paralinguistics Challenge as discussed by the authors addressed four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID19 Speech Sub-Challenges, a binary classification on COVID 19 infection has to be made based on coughing sounds and speech; in the Escalation SubChallenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Subchallenge, four species vs background need to be classified.
78
Recognizing Stress Using Semantics and Modulation of Speech and Gestures
TL;DR: It is found that speech modulation is the best performing intermediate level variable for automatic stress prediction and the two-stage approach with intermediate variables performs better than baseline feature level or decision level fusion.
59
MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild
Lukas Stappen,Alice Baird,Georgios Rizos,Panagiotis Tzirakis,Xinchen Du,Felix Hafner,Lea Schumann,Adria Mallol-Ragolta,Bjoern Schuller,Iulia Lefter,Erik Cambria,Ioannis Kompatsiaris +11 more
- 16 Oct 2020
TL;DR: Detailed information is provided on MuSe-CAR, the first of its kind in- the-wild database, which is utilised for the challenge, as well as the state-of-the-art features and modelling approaches applied.
48
Emotion recognition from speech by combining databases and fusion of classifiers
Iulia Lefter,Léon J. M. Rothkrantz,Pascal Wiggers,David A. van Leeuwen +3 more
- 06 Sep 2010
TL;DR: The performance of an emotion detection system tested on a certain database given that it is trained on speech from either the same database, a different database or a mix of both is investigated.
48
A comparative study on automatic audio-visual fusion for aggression detection using meta-information
TL;DR: It is proved that the meta-features have a positive effect on the fusion process in terms of labels, and three fusion methods that encapsulate the Meta- Features are compared, based on automatic prediction of the intermediate level variables and multimodal aggression from state of the art low level acoustic, linguistic and visual features.
43