Sekot
Gábor Gosztolya
Gábor Gosztolya
Verificēta e-pasta adrese: inf.u-szeged.hu
Nosaukums
Citēts
Citēts
Gads
A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech
L Tóth, I Hoffmann, G Gosztolya, V Vincze, G Szatlóczki, Z Bánréti, ...
Current Alzheimer Research 15 (2), 130-138, 2018
2462018
Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features
G Gosztolya, V Vincze, L Tóth, M Pákáski, J Kálmán, I Hoffmann
Computer Speech & Language 53, 181-197, 2019
1842019
Automatic detection of mild cognitive impairment from spontaneous speech using ASR
L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki, E Biró, F Zsura, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
1152015
DNN-based Ultrasound-to-Speech Conversion for a Silent Speech Interface
TG Csapó, T Grósz, G Gosztolya, L Tóth, A Markó
Proc. Interspeech, Stockholm, Sweden, 3672-3676, 2017
722017
Assessing the Degree of Nativeness and Parkinson’s Condition Using Gaussian Processes and Deep Rectifier Neural Networks
T Grósz, R Busa-Fekete, G Gosztolya, L Tóth
Sixteenth Annual Conference of the International Speech Communication …, 2015
642015
Detecting Autism, Emotions and Social Signals Using AdaBoost
G Gosztolya, R Busa-Fekete, L Tóth
602013
Cross-lingual Portability of MLP-Based Tandem Features--A Case Study for English and Hungarian
L Tóth, J Frankel, G Gosztolya, S King
462008
Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection
G Gosztolya, L Tóth, T Grósz, V Vincze, I Hoffmann, G Szatlóczki, ...
szte, 2016
452016
Dnn-based feature extraction and classifier combination for child-directed speech, cold and snoring identification
G Gosztolya, R Busa-Fekete, T Grósz, L Tóth
Proc. Interspeech, Stockholm, Sweden, 3522-3526, 2017
432017
Detecting mild cognitive impairment by exploiting linguistic information from transcripts
V Vincze, G Gosztolya, L Tóth, I Hoffmann, G Szatlóczki
Association for Computational Linguistics, 2016
422016
Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces.
L Tóth, G Gosztolya, T Grósz, A Markó, TG Csapó
Interspeech, 3172-3176, 2018
362018
Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds}}
G Gosztolya
Proc. Interspeech 2019, 2413-2417, 2019
342019
F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces
T Grósz, G Gosztolya, L Tóth, TG Csapó, A Markó
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
342018
Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks.
G Gosztolya, T Grósz, R Busa-Fekete, L Tóth
INTERSPEECH, 452-456, 2014
312014
Replicator neural networks for outlier modeling in segmental speech recognition
L Tóth, G Gosztolya
International Symposium on Neural Networks, 996-1001, 2004
262004
Laughter Classification Using Deep Rectifier Neural Networks with a Minimal Feature Subset
G Gosztolya, A Beke, T Neuberger, L Tóth
Archives of Acoustics 41 (4), 669-682, 2016
242016
User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning
MA Tündik, G Szaszák, G Gosztolya, A Beke
Proc. Interspeech 2018, 2628-2632, 2018
222018
Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors
JV Egas-López, G Kiss, D Sztahó, G Gosztolya
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
212022
Using the Fisher Vector Representation for Audio-based Emotion Recognition
G Gosztolya
Acta Polytechnica Hungarica 17 (6), 7-23, 2020
212020
On Evaluation Metrics for Social Signal Detection
G Gosztolya
Sixteenth Annual Conference of the International Speech Communication …, 2015
212015
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