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ORCIDLászló Tóth 0001
Person information
- affiliation: University of Szeged, Institute of Informatics, Szeged, Hungary
- affiliation: Hungarian Academy of Sciences and University of Szeged, MTA-SZTE Research Group on Artificial Intelligence, Szeged, Hungary
- not to be confused with: László Tóth 0002
Other persons with the same name
- László Tóth 0002 — University of Szeged, Department of Software Engineering, Szeged, Hungary
- László Tóth 0003 — University of Pécs, Hungary (and 1 more)
- László Tóth 0004 — University of Debrecen, Debrecen, Hungary
- László Tóth 0005 — Scansoft-Recognita, Inc.
- László Tóth 0006 — S. C. Neogen S. A., Tirgu Mures, Romania
- László Tóth 0007 — Budapest University of Technology and Economics, Budapest, Hungary
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2020 – today
- 2023
[c72]László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Tamás Gábor Csapó:
Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks. INTERSPEECH 2023: 1169-1173- [i14]László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Tamás Gábor Csapó:
Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks. CoRR abs/2305.19130 (2023) - 2022
- [j24]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) - [j23]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) - [j22]Tamás Gábor Csapó, Gábor Gosztolya, László Tóth, Amin Honarmandi Shandiz, Alexandra Markó:
Optimizing the Ultrasound Tongue Image Representation for Residual Network-Based Articulatory-to-Acoustic Mapping. Sensors 22(22): 8601 (2022) - [c71]Gergely Pap, Krisztian Adam, Zoltan Gyorgypal, László Tóth, Zoltan Hegedus:
Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification: Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions. ICAAI 2022: 15-21 - [c70]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 - [c69]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 - [c68]Amin Honarmandi Shandiz, László Tóth:
Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks. IEA/AIE 2022: 265-274 - [i13]Amin Honarmandi Shandiz, László Tóth:
Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks. CoRR abs/2206.12947 (2022) - 2021
- [j21]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) - [c67]Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó:
Improving Neural Silent Speech Interface Models by Adversarial Training. AICV 2021: 430-440 - [c66]Yide Yu, Amin Honarmandi Shandiz, László Tóth:
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders. EUSIPCO 2021: 945-949 - [c65]José Vicente Egas López, Mercedes Vetráb, László Tóth, Gábor Gosztolya:
Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features. Interspeech 2021: 476-480 - [c64]Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó:
Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces. Interspeech 2021: 1932-1936 - [c63]Tamás Gábor Csapó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input. SSW 2021: 31-36 - [c62]Csaba Zainkó, László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Alexandra Markó, Géza Németh, Tamás Gábor Csapó:
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging. SSW 2021: 54-59 - [c61]Amin Honarmandi Shandiz, László Tóth:
Voice Activity Detection for Ultrasound-Based Silent Speech Interfaces Using Convolutional Neural Networks. TDS 2021: 499-510 - [i12]László Tóth, Amin Honarmandi Shandiz:
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces. CoRR abs/2104.11532 (2021) - [i11]Yide Yu, Amin Honarmandi Shandiz, László Tóth:
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders. CoRR abs/2104.11598 (2021) - [i10]Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó:
Improving Neural Silent Speech Interface Models by Adversarial Training. CoRR abs/2104.11601 (2021) - [i9]Amin Honarmandi Shandiz, László Tóth:
Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks. CoRR abs/2105.13718 (2021) - [i8]Amin Honarmandi Shandiz, László Tóth, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó:
Neural Speaker Embeddings for Ultrasound-based Silent Speech Interfaces. CoRR abs/2106.04552 (2021) - [i7]Tamás Gábor Csapó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input. CoRR abs/2107.02003 (2021) - [i6]Csaba Zainkó, László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Alexandra Markó, Géza Németh, Tamás Gábor Csapó:
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging. CoRR abs/2107.12051 (2021) - 2020
- [j20]Gábor Gosztolya, Tamás Grósz, László Tóth:
Social Signal Detection by Probabilistic Sampling DNN Training. IEEE Trans. Affect. Comput. 11(1): 164-177 (2020) - [c60]László Tóth, Amin Honarmandi Shandiz:
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces. ICAISC (1) 2020: 159-169 - [c59]László Tóth, Balázs Nagy, Tibor Gyimóthy, László Vidács:
Mining Hypernyms Semantic Relations from Stack Overflow. ICSE (Workshops) 2020: 360-366 - [c58]Tamás Gábor Csapó, Csaba Zainkó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis. INTERSPEECH 2020: 2727-2731 - [i5]Tamás Gábor Csapó, Csaba Zainkó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis. CoRR abs/2008.03152 (2020) - [i4]Gábor Gosztolya, László Tóth:
Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks. CoRR abs/2008.03183 (2020)
2010 – 2019
- 2019
- [j19]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) - [c57]Nóra Imre, Réka Balogh, Gábor Gosztolya, László Tóth, Tamás Várkonyi, Csaba Lengyel, Magdolna Pákáski, János Kálmán:
Automatic recognition of temporal speech features in type 2 diabetes mellitus with mild cognitive impairment. CogInfoCom 2019: 27-28 - [c56]Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó:
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. IJCNN 2019: 1-8 - [c55]György Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki:
Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition. INTERSPEECH 2019: 421-425 - [c54]Gábor Gosztolya, László Tóth:
Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data. INTERSPEECH 2019: 515-519 - [c53]Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó:
Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder. INTERSPEECH 2019: 894-898 - [c52]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 - [c51]László Tóth, Gábor Gosztolya:
Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training. SPECOM 2019: 481-490 - [i3]Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó:
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. CoRR abs/1904.05259 (2019) - [i2]Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó:
Ultrasound-based Silent Speech Interface Built on a Continuous Vocoder. CoRR abs/1906.09885 (2019) - 2018
- [j18]Gábor Gosztolya, László Tóth:
A feature selection-based speaker clustering method for paralinguistic tasks. Pattern Anal. Appl. 21(1): 193-204 (2018) - [j17]Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl:
Efficient visual code localization with neural networks. Pattern Anal. Appl. 21(1): 249-260 (2018) - [c50]Tamás Grósz, Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, Alexandra Markó:
F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces. ICASSP 2018: 291-295 - [c49]Gábor Gosztolya, Tamás Grósz, László Tóth:
General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats. INTERSPEECH 2018: 531-535 - [c48]László Tóth, Gábor Gosztolya, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó:
Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces. INTERSPEECH 2018: 3172-3176 - [c47]György Kovács, László Tóth, Gábor Gosztolya:
Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition. SLT 2018: 242-249 - [c46]László Tóth, György Kovács, Dirk Van Compernolle:
A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models. SPECOM 2018: 697-706 - 2017
- [j16]György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy:
Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. Pattern Recognit. Lett. 100: 44-50 (2017) - [j15]Gábor Gosztolya, László Tóth:
DNN-Based Feature Extraction for Conflict Intensity Estimation From Speech. IEEE Signal Process. Lett. 24(12): 1837-1841 (2017) - [c45]Tamás Grósz, Gábor Gosztolya, László Tóth:
Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling. INTERSPEECH 2017: 1621-1625 - [c44]Tamás Grósz, Gábor Gosztolya, László Tóth:
A Comparative Evaluation of GMM-Free State Tying Methods for ASR. INTERSPEECH 2017: 1626-1630 - [c43]Gábor Gosztolya, Róbert Busa-Fekete, Tamás Grósz, László Tóth:
DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification. INTERSPEECH 2017: 3522-3526 - [c42]Tamás Gábor Csapó, Tamás Grósz, Gábor Gosztolya, László Tóth, Alexandra Markó:
DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. INTERSPEECH 2017: 3672-3676 - [c41]László Tóth:
Multi-resolution spectral input for convolutional neural network-based speech recognition. SpeD 2017: 1-6 - 2016
- [c40]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 - [c39]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 - [c38]Gábor Gosztolya, Tamás Grósz, György Szaszák, László Tóth:
Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis. INTERSPEECH 2016: 2026-2030 - [c37]Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth:
Determining Native Language and Deception Using Phonetic Features and Classifier Combination. INTERSPEECH 2016: 2418-2422 - [c36]Gábor Gosztolya, Tamás Grósz, László Tóth:
GMM-Free Flat Start Sequence-Discriminative DNN Training. INTERSPEECH 2016: 3409-3413 - [c35]László Tóth, Gábor Gosztolya:
Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training. SPECOM 2016: 108-115 - [i1]Gábor Gosztolya, Tamás Grósz, László Tóth:
GMM-Free Flat Start Sequence-Discriminative DNN Training. CoRR abs/1610.03256 (2016) - 2015
- [j14]György Kovács, László Tóth:
Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition. Acta Cybern. 22(1): 117-134 (2015) - [j13]László Tóth:
Phone recognition with hierarchical convolutional deep maxout networks. EURASIP J. Audio Speech Music. Process. 2015: 25 (2015) - [j12]György Kovács, László Tóth, Dirk Van Compernolle:
Selection and enhancement of Gabor filters for automatic speech recognition. Int. J. Speech Technol. 18(1): 1-16 (2015) - [c34]Gábor Gosztolya, Tamás Grósz, László Tóth, David Imseng:
Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying. ICASSP 2015: 4570-4574 - [c33]László Tóth:
Modeling long temporal contexts in convolutional neural network-based phone recognition. ICASSP 2015: 4575-4579 - [c32]Tamás Grósz, Róbert Busa-Fekete, Gábor Gosztolya, László Tóth:
Assessing the degree of nativeness and parkinson's condition using Gaussian processes and deep rectifier neural networks. INTERSPEECH 2015: 919-923 - [c31]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 - 2014
- [c30]Péter Bodnár, Tamás Grósz, László Tóth, László G. Nyúl:
Localization of Visual Codes in the DCT Domain Using Deep Rectifier Neural Networks. ANNIIP 2014: 37-44 - [c29]László Tóth:
Combining time- and frequency-domain convolution in convolutional neural network-based phone recognition. ICASSP 2014: 190-194 - [c28]Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth:
Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks. INTERSPEECH 2014: 452-456 - [c27]László Tóth:
Convolutional deep maxout networks for phone recognition. INTERSPEECH 2014: 1078-1082 - [c26]Tamás Grósz, Péter Bodnár, László Tóth, László G. Nyúl:
QR code localization using deep neural networks. MLSP 2014: 1-6 - [c25]Tamás Grósz, Gábor Gosztolya, László Tóth:
A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition. SPECOM 2014: 81-88 - [c24]György Kovács, László Tóth, Tamás Grósz:
Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features. SPECOM 2014: 386-393 - 2013
- [c23]László Tóth:
Phone recognition with deep sparse rectifier neural networks. ICASSP 2013: 6985-6989 - [c22]Gábor Gosztolya, Róbert Busa-Fekete, László Tóth:
Detecting autism, emotions and social signals using adaboost. INTERSPEECH 2013: 220-224 - [c21]László Tóth:
Convolutional deep rectifier neural nets for phone recognition. INTERSPEECH 2013: 1722-1726 - [c20]László Tóth, Tamás Grósz:
A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition. TSD 2013: 36-43 - [c19]György Kovács, László Tóth:
The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers. TSD 2013: 552-559 - 2011
- [c18]László Tóth:
A hierarchical, context-dependent neural network architecture for improved phone recognition. ICASSP 2011: 5040-5043 - [c17]Gábor Gosztolya, György Kovács, László Tóth:
Spoken term detection from noisy input. SACI 2011: 91-96 - [c16]György Kovács, László Tóth:
Phone recognition experiments with 2D-DCT spectro-temporal features. SACI 2011: 143-146 - 2010
- [j11]László Tóth, Balázs Tarján, Gellért Sárosi, Péter Mihajlik:
Speech Recognition Experiments with Audiobooks. Acta Cybern. 19(4): 695-713 (2010)
2000 – 2009
- 2009
- [c15]Gábor Gosztolya, András Bánhalmi, László Tóth:
Using One-Class Classification Techniques in the Anti-phoneme Problem. IbPRIA 2009: 433-440 - 2008
- [c14]Gábor Gosztolya, László Tóth:
Detection of Phoneme Boundaries Using Spiking Neurons. ICAISC 2008: 782-793 - [c13]László Tóth, Joe Frankel, Gábor Gosztolya, Simon King:
Cross-lingual portability of MLP-based tandem features - a case study for English and Hungarian. INTERSPEECH 2008: 2695-2698 - 2007
- [j10]László Tóth, András Kocsor:
A segment-based interpretation of HMM/ANN hybrids. Comput. Speech Lang. 21(3): 562-578 (2007) - [j9]András Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor:
Development of a Hungarian Medical Dictation System. Informatica (Slovenia) 31(2): 241-246 (2007) - [c12]László Tóth:
Benchmarking human performance on the acoustic and linguistic subtasks of ASR systems. INTERSPEECH 2007: 382-385 - 2006
- [j8]András Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor:
Investigating the robustness of a Hungarian medical dictation system under various conditions. Int. J. Speech Technol. 9(3-4): 121-131 (2006) - 2005
- [c11]László Tóth, András Kocsor:
Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling. ICANN (1) 2005: 597-603 - [c10]András Bánhalmi, Kornél Kovács, András Kocsor, László Tóth:
Fundamental frequency estimation by least-squares harmonic model fitting. INTERSPEECH 2005: 305-308 - [c9]László Tóth, András Kocsor:
Explicit Duration Modelling in HMM/ANN Hybrids. TSD 2005: 310-317 - 2004
- [j7]László Tóth, András Kocsor, Gábor Gosztolya:
Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model. Acta Cybern. 16(4): 643-657 (2004) - [j6]Gyula Zsigri, András Kocsor, László Tóth, Györgyi Sejtes:
Phonetic Level Annotation and Segmentation of Hungarian Speech Databases. Acta Cybern. 16(4): 659-673 (2004) - [j5]András Kocsor, László Tóth:
Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification. Appl. Intell. 21(2): 129-142 (2004) - [j4]András Kocsor, László Tóth:
Kernel-based feature extraction with a speech technology application. IEEE Trans. Signal Process. 52(8): 2250-2263 (2004) - [c8]László Tóth, Gábor Gosztolya:
Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition. ISNN (1) 2004: 996-1001 - 2003
- [j3]Gábor Gosztolya, András Kocsor, László Tóth:
Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybern. 16(2): 229-240 (2003) - [c7]László Tóth, András Kocsor:
Harmonic alternatives to sine-wave speech. INTERSPEECH 2003: 2073-2076 - [c6]Dénes Paczolay, András Kocsor, László Tóth:
Real-Time Vocal Tract Length Normalization. TSD 2003: 309-314 - 2002
- [c5]Kornél Kovács, András Kocsor, László Tóth:
Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: 181-185 - 2001
- [c4]András Kocsor, László Tóth, László Felföldi:
Application of Feature Transformation and Learning Methods in Phoneme Classification. IEA/AIE 2001: 502-512 - [c3]András Kocsor, László Tóth, Dénes Paczolay:
A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment Therapy. TSD 2001: 249-257 - 2000
- [j2]András Kocsor, László Tóth, András Kuba, Kornél Kovács, Márk Jelasity, Tibor Gyimóthy, János Csirik:
A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme Classification. Int. J. Speech Technol. 3(3-4): 263-276 (2000) - [c2]László Tóth, András Kocsor, Kornél Kovács:
A Discriminative Segmental Speech Model and Its Application to Hungarian Number Recognition. TSD 2000: 307-313
1990 – 1999
- 1999
- [j1]András Kocsor, László Tóth, I. Bálint:
Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybern. 14(2): 315-330 (1999) - 1997
- [c1]Zoltán Alexin, János Csirik, Tibor Gyimóthy, Márk Jelasity, László Tóth:
Learning Phonetic Rules in a Speech Recognition System. ILP 1997: 37-44
Coauthor Index
[c72] [i14] [j24] [j23] [j22] [c70] [c69] [j21] [c67] [c65] [c64] [c63] [c62] [i10] [i8] [i7] [i6] [j20] [c58] [i5] [i4] [j19] [c57] [c56] [c54] [c53] [c52] [c51] [i3] [i2] [j18] [c50] [c49] [c48] [c47] [j15] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [c37] [c36] [c35] [i1] [c34] [c32] [c31] [c28] [c25] [c22] [c17] [c15] [c14] [c13] [j7] [c8] [j3]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
