activity
20182025
most citedBuilding and Evaluation of a Real Room Impulse Response Dataset

131 citations · 136 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2025

Alpha Divergence Losses for Biometric Verification

Dimitrios Koutsianos, Ladislav Mosner, Yannis Panagakis +1

Performance in face and speaker verification is largely driven by margin-based softmax losses such as CosFace and ArcFace. Recently introduced -divergence loss functions offer a…

cs.SD2023

BUT CHiME-7 system description

Martin Karafiát, Karel Veselý, Igor Szöke +5

This paper describes the joint effort of Brno University of Technology (BUT), AGH University of Krakow and University of Buenos Aires on the development of Automatic Speech Recogni…

eess.AS2022

Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing

Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner +1

When recognizing emotions from speech, we encounter two common problems: how to optimally capture emotion-relevant information from the speech signal and how to best quantify or ca…

eess.AS2022★ 1 cited

Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations

Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros +3

Self-supervised learning of speech representations from large amounts of unlabeled data has enabled state-of-the-art results in several speech processing tasks. Aggregating these s…

eess.AS2022★ 1 cited

An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification

Junyi Peng, Oldrich Plchot, Themos Stafylakis +3

In recent years, self-supervised learning paradigm has received extensive attention due to its great success in various down-stream tasks. However, the fine-tuning strategies for a…

eess.AS2022★ 1 cited

Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch

Anna Silnova, Themos Stafylakis, Ladislav Mosner +6

In this paper, we analyze the behavior and performance of speaker embeddings and the back-end scoring model under domain and language mismatch. We present our findings regarding Re…