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ORCIDIldikó Hoffmann
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2020 – today
- 2024
[c12]Gábor Gosztolya, András Bence Lázár, Ildikó Hoffmann, Otília Bagi, Fruzsina Fanni Farkas, Janka Gajdics, László Tóth, János Kálmán:
Automatic Assessment of Signs of Alcohol Dependency Syndrome from Spontaneous Speech. SPECOM (2) 2024: 18-29- [c11]Gábor Gosztolya, László Tóth, Veronika Svindt, Judit Bóna, Ildikó Hoffmann:
Investigating the Utility of wav2vec 2.0 Hidden Layers for Detecting Multiple Sclerosis. SPECOM (1) 2024: 297-308 - 2023
- [c10]José Vicente Egas López, Veronika Svindt, Judit Bóna, Ildikó Hoffmann, Gábor Gosztolya:
Automated Multiple Sclerosis Screening Based on Encoded Speech Representations. INTERSPEECH 2023: 3003-3007 - 2022
- [j4]Veronika Vincze, Martina Katalin Szabó, Ildikó Hoffmann, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya:
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease. Comput. Linguistics 48(1): 119-153 (2022) - [j3]José Vicente Egas López
, Réka Balogh, Nóra Imre, Ildikó Hoffmann, Martina Katalin Szabó, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya:
Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation. Comput. Speech Lang. 75: 101377 (2022) - [c9]Mercedes Vetráb, José Vicente Egas López, Réka Balogh, Nóra Imre, Ildikó Hoffmann, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya:
Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment. ICASSP 2022: 6467-6471 - [c8]Gábor Gosztolya, László Tóth, Veronika Svindt, Judit Bóna, Ildikó Hoffmann:
Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech. ICASSP 2022: 6927-6931 - 2021
- [j2]Gábor Gosztolya, Réka Balogh, Nóra Imre, José Vicente Egas López, Ildikó Hoffmann, Veronika Vincze, László Tóth, Davangere P. Devanand, Magdolna Pákáski, János Kálmán:
Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech. Comput. Speech Lang. 69: 101215 (2021) - 2020
- [c7]Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann:
Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech. INTERSPEECH 2020: 4566-4570
2010 – 2019
- 2019
- [j1]Gábor Gosztolya, Veronika Vincze, László Tóth, Magdolna Pákáski, János Kálmán, Ildikó Hoffmann:
Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features. Comput. Speech Lang. 53: 181-197 (2019) - [c6]José Vicente Egas López, László Tóth, Ildikó Hoffmann, János Kálmán, Magdolna Pákáski, Gábor Gosztolya:
Assessing Alzheimer's Disease from Speech Using the i-vector Approach. SPECOM 2019: 289-298 - 2018
- [c5]Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann:
Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech. INTERSPEECH 2018: 3408-3412 - 2016
- [c4]Veronika Vincze, Gábor Gosztolya, László Tóth, Ildikó Hoffmann, Gréta Szatlóczki, Zoltán Bánréti, Magdolna Pákáski, János Kálmán:
Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts. ACL (2) 2016 - [c3]Gábor Gosztolya, László Tóth, Tamás Grósz, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Magdolna Pákáski, János Kálmán:
Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection. INTERSPEECH 2016: 107-111 - 2015
- [c2]László Tóth, Gábor Gosztolya, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Edit Biró, Fruzsina Zsura, Magdolna Pákáski, János Kálmán:
Automatic detection of mild cognitive impairment from spontaneous speech using ASR. INTERSPEECH 2015: 2694-2698 - 2011
- [c1]Zoltán Bánréti, Éva Mészáros, Ildikó Hoffmann, Zita Orley:
Recursion in language, theory-of-mind inference and arithmetic: aphasia and Alzheimer's disease. ExLing 2011: 23-26
Coauthor Index
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