Investigating the Corpus Independence of the Bag-of-Audio-Words Approach. - Mercedes Vetráb; Gábor Gosztolya (TDS, 2020)

Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features. - José Vicente Egas López; Mercedes Vetráb; László Tóth 001; Gábor Gosztolya (Interspeech, 2021)

Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment. - Mercedes Vetráb; José Vicente Egas López; Réka Balogh; Nóra Imre; Ildikó Hoffmann; László Tóth 001; Magdolna Pákáski; János Kálmán; Gábor Gosztolya (ICASSP, 2022)

Aggregation Strategies of Wav2vec 2.0 Embeddings for Computational Paralinguistic Tasks. - Mercedes Vetráb; Gábor Gosztolya (SPECOM (1), 2023)

Using Hybrid HMM/DNN Embedding Extractor Models in Computational Paralinguistic Tasks. - Mercedes Vetráb; Gábor Gosztolya (Sensors, 2023)

Wav2vec 2.0 Embeddings Are No Swiss Army Knife - A Case Study for Multiple Sclerosis. - Gábor Gosztolya; Mercedes Vetráb; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (INTERSPEECH, 2024)