Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (ICASSP, 2022)

Silent pauses and disfluencies in consecutively interpreted Hungarian speech. - Mária Bakti; Judit Bóna (DiSS, 2023)

Filled pauses in child-adult conversations: Data from 5- and 9-year old Hungarian children. - Judit Bóna; Ágnes Hámori (DiSS, 2023)

Automated Multiple Sclerosis Screening Based on Encoded Speech Representations. - José Vicente Egas López; Veronika Svindt; Judit Bóna; Ildikó Hoffmann; Gábor Gosztolya (INTERSPEECH, 2023)

Automatic Longitudinal Investigation of Multiple Sclerosis Subjects. - Gábor Gosztolya; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (INTERSPEECH, 2024)

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)

Investigating the Utility of wav2vec 2.0 Hidden Layers for Detecting Multiple Sclerosis. - Gábor Gosztolya; László Tóth 001; Veronika Svindt; Judit Bóna; Ildikó Hoffmann (SPECOM (1), 2024)