2 citations · 2 across the 2 of their papers we have counts for
9 papers
BioLORD: Learning Ontological Representations from Definitions (for Biomedical Concepts and their Textual Descriptions)
François Remy, Kris Demuynck, Thomas Demeester
This work introduces BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts. State-of-the-art methodologies op…
The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
This technical report describes the IDLab submission for track 1 and 2 of the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21). This speaker verification competition focuses…
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
Siyuan Song, Brecht Desplanques, Celest De Moor +2
We present an iVector based Acoustic Scene Classification (ASC) system suited for real life settings where active foreground speech can be present. In the proposed system, each rec…
Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
This paper describes the IDLab submission for the text-independent task of the Short-duration Speaker Verification Challenge 2021 (SdSVC-21). This speaker verification competition…
The IDLAB VoxCeleb Speaker Recognition Challenge 2020 System Description
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
In this technical report we describe the IDLAB top-scoring submissions for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) in the supervised and unsupervised speaker ve…
The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
In this paper we propose and analyse a large margin fine-tuning strategy and a quality-aware score calibration in text-independent speaker verification. Large margin fine-tuning is…