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2020 – today
- 2024
[i22]Milán András Fodor, Tamás Gábor Csapó, Frigyes Viktor Arthur:
Towards Decoding Brain Activity During Passive Listening of Speech. CoRR abs/2402.16996 (2024)- 2023
- [j9]Ali Raheem Mandeel
, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Investigations on speaker adaptation using a continuous vocoder within recurrent neural network based text-to-speech synthesis. Multim. Tools Appl. 82(10): 15635-15649 (2023) - [j8]Bruce Denby, Tamás Gábor Csapó, Michael Wand:
Future Speech Interfaces with Sensors and Machine Intelligence. Sensors 23(4): 1971 (2023) - [c53]Peter Mayer, Katharina Werner, Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Bálint Czeba, Géza Németh, Ana Patrícia Rocha, Ilídio Castro Oliveira, Samuel S. Silva, Melinda Szeker, António J. S. Teixeira, Paul Panek:
Concept and Pictogram-Based User-Interface Design of a Helper Tool for People with Aphasia. dHealth 2023: 77-82 - [c52]Kang You, Bo Liu, Kele Xu, Yunsheng Xiong, Qisheng Xu, Ming Feng, Tamás Gábor Csapó, Boqing Zhu:
Raw Ultrasound-Based Phonetic Segments Classification Via Mask Modeling. ICASSP 2023: 1-5 - [c51]Tamás Gábor Csapó, Frigyes Viktor Arthur, Péter Nagy, Ádám Boncz:
Towards Ultrasound Tongue Image prediction from EEG during speech production. INTERSPEECH 2023: 1164-1168 - [c50]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 - [c49]Tamás Gábor Csapó, Frigyes Viktor Arthur, Péter Nagy, Ádám Boncz:
Comparison of acoustic-to-articulatory and brain-to-articulatory mapping during speech production using ultrasound tongue imaging and EEG. SMM 2023 - [c48]Mohammed Salah Al-Radhi, Omnia Ibrahim, Ali Raheem Mandeel, Tamás Gábor Csapó, Géza Németh:
Advancing Limited Data Text-to-Speech Synthesis: Non-Autoregressive Transformer for High-Quality Parallel Synthesis. SpeD 2023: 152-157 - [c47]Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Enhancing End-to-End Speech Synthesis by Modeling Interrogative Sentences with Speaker Adaptation. SpeD 2023: 158-163 - [c46]Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Modeling Irregular Voice in End-to-End Speech Synthesis via Speaker Adaptation. SpeD 2023: 170-175 - [c45]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Nonparallel Expressive TTS for Unseen Target Speaker using Style-Controlled Adaptive Layer and Optimized Pitch Embedding. SpeD 2023: 176-181 - [c44]Ibrahim Ibrahimov, Gábor Gosztolya, Tamás Gábor Csapó:
Data Augmentation Methods on Ultrasound Tongue Images for Articulation-to-Speech Synthesis. SSW 2023: 230-235 - [i21]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) - [i20]Tamás Gábor Csapó, Frigyes Viktor Arthur, Péter Nagy, Ádám Boncz:
Towards Ultrasound Tongue Image prediction from EEG during speech production. CoRR abs/2306.05374 (2023) - 2022
- [j7]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) - [c43]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0. EUSIPCO 2022: 1150-1154 - [i19]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0. CoRR abs/2208.07122 (2022) - 2021
- [j6]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Noise and acoustic modeling with waveform generator in text-to-speech and neutral speech conversion. Multim. Tools Appl. 80(2): 1969-1994 (2021) - [c42]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 - [c41]Frigyes Viktor Arthur, Tamás Gábor Csapó:
Towards a Practical Lip-to-Speech Conversion System Using Deep Neural Networks and Mobile Application Frontend. AICV 2021: 441-450 - [c40]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 - [c39]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Continuous Wavelet Vocoder-Based Decomposition of Parametric Speech Waveform Synthesis. Interspeech 2021: 2212-2216 - [c38]Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Speaker Adaptation with Continuous Vocoder-Based DNN-TTS. SPECOM 2021: 407-416 - [c37]Pengyu Dai, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Effects of F0 Estimation Algorithms on Ultrasound-Based Silent Speech Interfaces. SpeD 2021: 47-51 - [c36]Tamás Gábor Csapó:
Extending Text-to-Speech Synthesis with Articulatory Movement Prediction using Ultrasound Tongue Imaging. SSW 2021: 7-12 - [c35]Tamás Gábor Csapó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input. SSW 2021: 31-36 - [c34]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 - [i18]Kele Xu, Tamás Gábor Csapó, Ming Feng:
Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image. CoRR abs/2101.11245 (2021) - [i17]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) - [i16]Frigyes Viktor Arthur, Tamás Gábor Csapó:
Towards a practical lip-to-speech conversion system using deep neural networks and mobile application frontend. CoRR abs/2104.14467 (2021) - [i15]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) - [i14]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis. CoRR abs/2106.06863 (2021) - [i13]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters. CoRR abs/2106.10481 (2021) - [i12]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) - [i11]Tamás Gábor Csapó:
Extending Text-to-Speech Synthesis with Articulatory Movement Prediction using Ultrasound Tongue Imaging. CoRR abs/2107.05550 (2021) - [i10]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) - [i9]Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Speaker Adaptation with Continuous Vocoder-based DNN-TTS. CoRR abs/2108.01154 (2021) - 2020
- [j5]Mohammed Salah Al-Radhi, Omnia Abdo, Tamás Gábor Csapó, Sherif M. Abdou, Géza Németh, Mervat Fashal:
A continuous vocoder for statistical parametric speech synthesis and its evaluation using an audio-visual phonetically annotated Arabic corpus. Comput. Speech Lang. 60 (2020) - [j4]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Continuous Noise Masking Based Vocoder for Statistical Parametric Speech Synthesis. IEICE Trans. Inf. Syst. 103-D(5): 1099-1107 (2020) - [c33]Tamás Gábor Csapó:
Speaker Dependent Articulatory-to-Acoustic Mapping Using Real-Time MRI of the Vocal Tract. INTERSPEECH 2020: 2722-2726 - [c32]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 - [c31]Tamás Gábor Csapó:
Speaker Dependent Acoustic-to-Articulatory Inversion Using Real-Time MRI of the Vocal Tract. INTERSPEECH 2020: 3720-3724 - [c30]Tamás Gábor Csapó, Kele Xu:
Quantification of Transducer Misalignment in Ultrasound Tongue Imaging. INTERSPEECH 2020: 3735-3739 - [i8]Tamás Gábor Csapó:
Speaker dependent articulatory-to-acoustic mapping using real-time MRI of the vocal tract. CoRR abs/2008.00889 (2020) - [i7]Tamás Gábor Csapó:
Speaker dependent acoustic-to-articulatory inversion using real-time MRI of the vocal tract. CoRR abs/2008.02098 (2020) - [i6]Tamás Gábor Csapó, Kele Xu:
Quantification of Transducer Misalignment in Ultrasound Tongue Imaging. CoRR abs/2008.02470 (2020) - [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)
2010 – 2019
- 2019
- [j3]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Continuous vocoder applied in deep neural network based voice conversion. Multim. Tools Appl. 78(23): 33549-33572 (2019) - [c29]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
RNN-based speech synthesis using a continuous sinusoidal model. IJCNN 2019: 1-8 - [c28]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 - [c27]Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó:
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging. IJCNN 2019: 1-8 - [c26]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 - [c25]Andrea Deme, Márton Bartók, Tekla Etelka Gráczi, Tamás Gábor Csapó, Alexandra Markó:
V-to-V Coarticulation Induced Acoustic and Articulatory Variability of Vowels: The Effect of Pitch-Accent. INTERSPEECH 2019: 3317-3321 - [c24]Alexandra Markó, Márton Bartók, Tamás Gábor Csapó, Tekla Etelka Gráczi, Andrea Deme:
Articulatory Analysis of Transparent Vowel /iː/ in Harmonic and Antiharmonic Hungarian Stems: Is There a Difference? INTERSPEECH 2019: 3327-3331 - [c23]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Parallel Voice Conversion Based on a Continuous Sinusoidal Model. SpeD 2019: 1-6 - [i4]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) - [i3]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
RNN-based speech synthesis using a continuous sinusoidal model. CoRR abs/1904.06075 (2019) - [i2]Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó:
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging. CoRR abs/1904.06083 (2019) - [i1]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
- [c22]Tamás Grósz, Gábor Gosztolya, László Tóth, Tamás Gábor Csapó, Alexandra Markó:
F0 Estimation for DNN-Based Ultrasound Silent Speech Interfaces. ICASSP 2018: 291-295 - [c21]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 - [c20]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
A Continuous Vocoder Using Sinusoidal Model for Statistical Parametric Speech Synthesis. SPECOM 2018: 11-20 - 2017
- [c19]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Time-Domain Envelope Modulating the Noise Component of Excitation in a Continuous Residual-Based Vocoder for Statistical Parametric Speech Synthesis. INTERSPEECH 2017: 434-438 - [c18]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 - [c17]Alexandra Markó, Andrea Deme, Márton Bartók, Tekla Etelka Gráczi, Tamás Gábor Csapó:
Word-Initial Irregular Phonation as a Function of Speech Rate and Vowel Quality in Hungarian. ISSP 2017: 134-145 - [c16]Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
Deep Recurrent Neural Networks in Speech Synthesis Using a Continuous Vocoder. SPECOM 2017: 282-291 - 2016
- [c15]Tamás Gábor Csapó, Géza Németh, Milos Cernak, Philip N. Garner:
Modeling unvoiced sounds in statistical parametric speech synthesis with a continuous vocoder. EUSIPCO 2016: 1338-1342 - [c14]Bálint Pál Tóth, Tamás Gábor Csapó:
Continuous fundamental frequency prediction with deep neural networks. EUSIPCO 2016: 1348-1352 - [c13]Milan Secujski, Branislav Gerazov, Tamás Gábor Csapó, Vlado Delic, Philip N. Garner, Aleksandar Gjoreski, David Guennec, Zoran A. Ivanovski, Aleksandar Melov, Géza Németh, Ana Stojkovic, György Szaszák:
Design of a Speech Corpus for Research on Cross-Lingual Prosody Transfer. SPECOM 2016: 199-206 - 2015
- [c12]Tamás Gábor Csapó, Géza Németh:
Automatic transformation of irregular to regular voice by residual analysis and synthesis. INTERSPEECH 2015: 613-617 - [c11]Kálmán Abari, Tamás Gábor Csapó, Bálint Pál Tóth, Gábor Olaszy:
From text to formants - indirect model for trajectory prediction based on a multi-speaker parallel speech database. INTERSPEECH 2015: 623-627 - [c10]Tamás Gábor Csapó, Steven M. Lulich:
Error analysis of extracted tongue contours from 2d ultrasound images. INTERSPEECH 2015: 2157-2161 - [c9]Tamás Gábor Csapó, Géza Németh, Milos Cernak:
Residual-Based Excitation with Continuous F0 Modeling in HMM-Based Speech Synthesis. SLSP 2015: 27-38 - 2014
- [b1]Tamás Gábor Csapó:
A gépi beszéd-előállítás természetességének növelése rejtett Markov-modell alapú szövegfelolvasó rendszerben. Budapest University of Technology and Economics, Hungary, 2014 - [j2]Tamás Gábor Csapó, Géza Németh:
Statistical parametric speech synthesis with a novel codebook-based excitation model. Intell. Decis. Technol. 8(4): 289-299 (2014) - [j1]Tamás Gábor Csapó, Géza Németh:
Modeling Irregular Voice in Statistical Parametric Speech Synthesis With Residual Codebook Based Excitation. IEEE J. Sel. Top. Signal Process. 8(2): 209-220 (2014) - 2013
- [c8]António J. S. Teixeira, Annika Hämäläinen, Jairo Avelar, Nuno Almeida, Géza Németh, Tibor Fegyó, Csaba Zainkó, Tamás Gábor Csapó, Bálint Tóth, André Oliveira, Miguel Sales Dias:
Speech-centric Multimodal Interaction for Easy-to-access Online Services - A Personal Life Assistant for the Elderly. DSAI 2013: 389-397 - [c7]Tamás Gábor Csapó, Géza Németh:
A novel irregular voice model for HMM-based speech synthesis. SSW 2013: 229-234 - 2012
- [c6]Tamás Gábor Csapó, Géza Németh:
A novel codebook-based excitation model for use in speech synthesis. CogInfoCom 2012: 661-665 - [c5]Éva Székely, Tamás Gábor Csapó, Bálint Tóth, Péter Mihajlik, Julie Carson-Berndsen:
Synthesizing expressive speech from amateur audiobook recordings. SLT 2012: 297-302 - 2011
- [c4]Tekla Etelka Gráczi, Steven M. Lulich, Tamás Gábor Csapó, András Beke:
Context and Speaker Dependency in the Relation of Vowel Formants and Subglottal Resonances - Evidence from Hungarian. INTERSPEECH 2011: 1901-1904 - 2010
- [c3]Csaba Zainkó, Tamás Gábor Csapó, Géza Németh:
Special Speech Synthesis for Social Network Websites. TSD 2010: 455-463
2000 – 2009
- 2009
- [c2]Tamás Gábor Csapó, Zsuzsanna Bárkányi, Tekla Etelka Gráczi, Tamás Bohm, Steven M. Lulich:
Relation of formants and subglottal resonances in Hungarian vowels. INTERSPEECH 2009: 484-487 - 2007
- [c1]Géza Németh, Márk Fék, Tamás Gábor Csapó:
Increasing prosodic variability of text-to-speech synthesizers. INTERSPEECH 2007: 474-477
Coauthor Index
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