most citedDepression detection in social media posts using affective and social norm features

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20242 cited

Meltemi: The first open Large Language Model for Greek

Leon Voukoutis, Dimitris Roussis, Georgios Paraskevopoulos +6

We describe the development and capabilities of Meltemi 7B, the first open Large Language Model for the Greek language. Meltemi 7B has 7 billion parameters and is trained on a 40 b…

cs.CL2024

The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data

Georgios Paraskevopoulos, Chara Tsoukala, Athanasios Katsamanis +1

The development of speech technologies for languages with limited digital representation poses significant challenges, primarily due to the scarcity of available data. This issue i…

eess.AS20242 cited

Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens

Nay San, Georgios Paraskevopoulos, Aryaman Arora +4

While massively multilingual speech models like wav2vec 2.0 XLSR-128 can be directly fine-tuned for automatic speech recognition (ASR), downstream performance can still be relative…

eess.AS2023

Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling

Theodoros Kouzelis, Georgios Paraskevopoulos, Athanasios Katsamanis +1

The study of speech disorders can benefit greatly from time-aligned data. However, audio-text mismatches in disfluent speech cause rapid performance degradation for modern speech a…

cs.CL20233 cited

Depression detection in social media posts using affective and social norm features

Ilias Triantafyllopoulos, Georgios Paraskevopoulos, Alexandros Potamianos

We propose a deep architecture for depression detection from social media posts. The proposed architecture builds upon BERT to extract language representations from social media po…