Ildikó Hoffmann

According to our database, Ildikó Hoffmann authored at least 13 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation.

José Vicente Egas López, Réka Balogh, Nóra Imre, Ildikó Hoffmann, Martina Katalin Szabó, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya

Comput. Speech Lang., 2022

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease.

Veronika Vincze, Martina Katalin Szabó, Ildikó Hoffmann, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya

Comput. Linguistics, 2022

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, Magdolna Pákáski, János Kálmán, Gábor Gosztolya

Proceedings of the IEEE International Conference on Acoustics, 2022

Using Acoustic Deep Neural Network Embeddings to Detect Multiple Sclerosis From Speech.

Gábor Gosztolya, László Tóth, Veronika Svindt, Judit Bóna, Ildikó Hoffmann

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech.

Gábor Gosztolya, Réka Balogh, Nóra Imre, José Vicente Egas López, Ildikó Hoffmann, Veronika Vincze, László Tóth, Davangere P. Devanand, Magdolna Pákáski, János Kálmán

Comput. Speech Lang., 2021

2020

Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech.

Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann

Proceedings of the Interspeech 2020, 2020

2019

Identifying Mild Cognitive Impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features.

Gábor Gosztolya, Veronika Vincze, László Tóth, Magdolna Pákáski, János Kálmán, Ildikó Hoffmann

Comput. Speech Lang., 2019

Assessing Alzheimer's Disease from Speech Using the i-vector Approach.

José Vicente Egas López, László Tóth, Ildikó Hoffmann, János Kálmán, Magdolna Pákáski, Gábor Gosztolya

Proceedings of the Speech and Computer - 21st International Conference, 2019

2018

Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech.

Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann

Proceedings of the Interspeech 2018, 2018

2016

Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection.

Gábor Gosztolya, László Tóth, Tamás Grósz, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Magdolna Pákáski, János Kálmán

Proceedings of the Interspeech 2016, 2016

Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts.

Veronika Vincze, Gábor Gosztolya, László Tóth, Ildikó Hoffmann, Gréta Szatlóczki, Zoltán Bánréti, Magdolna Pákáski, János Kálmán

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Automatic detection of mild cognitive impairment from spontaneous speech using ASR.

László Tóth, Gábor Gosztolya, Veronika Vincze, Ildikó Hoffmann, Gréta Szatlóczki, Edit Biró, Fruzsina Zsura, Magdolna Pákáski, János Kálmán

Proceedings of the INTERSPEECH 2015, 2015

2011

Recursion in language, theory-of-mind inference and arithmetic: aphasia and Alzheimer's disease.

Zoltán Bánréti, Éva Mészáros, Ildikó Hoffmann, Zita Orley

Proceedings of the Fourth Workshop on Experimental Linguistics, 2011