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Zdenek Hanzlícek
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2020 – today
- 2024
- [j3]Zdenek Hanzlícek
, Jindrich Matousek
, Jakub Vít
:
Using LSTM neural networks for cross-lingual phonetic speech segmentation with an iterative correction procedure. Comput. Intell. 40(2) (2024) - 2023
- [c32]Marie Kunesová
, Jindrich Matousek, Jan Lehecka, Jan Svec
, Josef Michálek, Daniel Tihelka
, Martin Bulín
, Zdenek Hanzlícek, Markéta Rezácková:
Ensemble of Deep Neural Network Models for MOS Prediction. ICASSP 2023: 1-5 - 2022
- [c31]Zdenek Hanzlícek
, Jindrich Matousek
:
Phonetic Speech Segmentation of Audiobooks by Using Adapted LSTM-Based Acoustic Models. IBERAMIA 2022: 317-327 - 2021
- [c30]Daniel Tihelka, Markéta Rezácková, Martin Gruber, Zdenek Hanzlícek, Jakub Vít, Jindrich Matousek:
Save Your Voice: Voice Banking and TTS for Anyone. Interspeech 2021: 4855-4856 - [c29]Zdenek Hanzlícek
, Jakub Vít, Markéta Rezácková:
Speakers Talking Foreign Languages in a Multi-lingual TTS System. TDS 2021: 489-498 - 2020
- [j2]Martin Gruber
, Jindrich Matousek, Zdenek Hanzlícek
, Daniel Tihelka
:
Dialogue act based expressive speech synthesis in limited domain for the Czech language. Informatica (Slovenia) 44(2) (2020) - [j1]Jindrich Matousek, Zdenek Krnoul, Michal Campr, Zbynek Zajíc, Zdenek Hanzlícek
, Martin Gruber
, Marie Kocurová:
Speech and web-based technology to enhance education for pupils with visual impairment. J. Multimodal User Interfaces 14(2): 219-230 (2020) - [c28]Daniel Tihelka
, Zdenek Hanzlícek
, Markéta Juzová
:
Uncertainty of Phone Voicing and Its Impact on Speech Synthesis. SPECOM 2020: 581-591 - [c27]Zdenek Hanzlícek
, Jakub Vít
:
LSTM-Based Speech Segmentation Trained on Different Foreign Languages. TDS 2020: 456-464
2010 – 2019
- 2019
- [c26]Jakub Vít, Zdenek Hanzlícek
, Jindrich Matousek:
Czech Speech Synthesis with Generative Neural Vocoder. TSD 2019: 307-315 - [c25]Zdenek Hanzlícek
, Jakub Vít, Daniel Tihelka
:
LSTM-Based Speech Segmentation for TTS Synthesis. TSD 2019: 361-372 - 2018
- [c24]Jakub Vit, Zdenek Hanzlícek
, Jindrich Matousek
:
On the Analysis of Training Data for Wavenet-Based Speech Synthesis. ICASSP 2018: 5684-5688 - [c23]Daniel Tihelka
, Zdenek Hanzlícek
, Markéta Juzová, Jindrich Matousek
:
First Steps Towards Hybrid Speech Synthesis in Czech TTS System ARTIC. SPECOM 2018: 676-686 - [c22]Daniel Tihelka
, Zdenek Hanzlícek
, Markéta Juzová, Jakub Vít, Jindrich Matousek
, Martin Gruber
:
Current State of Text-to-Speech System ARTIC: A Decade of Research on the Field of Speech Technologies. TSD 2018: 369-378 - [c21]Zdenek Hanzlícek
, Jakub Vít, Daniel Tihelka
:
WaveNet-Based Speech Synthesis Applied to Czech - A Comparison with the Traditional Synthesis Methods. TSD 2018: 445-452 - 2017
- [c20]Martin Gruber, Jindrich Matousek, Zdenek Hanzlícek, Jakub Vít, Daniel Tihelka:
WebSubDub - Experimental System for Creating High-Quality Alternative Audio Track for TV Broadcasting. INTERSPEECH 2017: 3423-3424 - [c19]Markéta Juzová, Daniel Tihelka, Jindrich Matousek, Zdenek Hanzlícek:
Voice Conservation and TTS System for People Facing Total Laryngectomy. INTERSPEECH 2017: 3425-3426 - [c18]Zdenek Hanzlícek
:
Optimal Number of States in HMM-Based Speech Synthesis. TSD 2017: 353-361 - 2016
- [c17]Martin Gruber, Jindrich Matousek, Zdenek Hanzlícek, Zdenek Krnoul, Zbynek Zajíc:
ARET - Automatic Reading of Educational Texts for Visually Impaired Students. INTERSPEECH 2016: 383-384 - [c16]Zdenek Hanzlícek
:
Correction of Prosodic Phrases in Large Speech Corpora. TSD 2016: 408-417 - 2015
- [c15]Zdenek Hanzlícek
:
Classification of Prosodic Phrases by Using HMMs. TSD 2015: 497-505 - 2014
- [c14]Daniel Tihelka
, Jindrich Matousek
, Zdenek Hanzlícek
:
Modelling F0 Dynamics in Unit Selection Based Speech Synthesis. TSD 2014: 457-464 - [c13]Zdenek Hanzlícek
, Martin Gruber
:
Initial Experiments on Automatic Correction of Prosodic Annotation of Large Speech Corpora. TSD 2014: 481-488 - 2013
- [c12]Zdenek Hanzlícek
, Jindrich Matousek
, Daniel Tihelka
:
Experiments on Reducing Footprint of Unit Selection TTS System. TSD 2013: 249-256 - [c11]Daniel Tihelka
, Martin Gruber
, Zdenek Hanzlícek
:
Robust Methodology for TTS Enhancement Evaluation. TSD 2013: 442-449 - 2012
- [c10]Daniel Tihelka
, Zdenek Hanzlícek
, Pavel Machac
, Radek Skarnitzl
, Jindrich Matousek
:
On the impact of labialization contexts on unit selection speech synthesis. ISSPIT 2012: 187-192 - [c9]Martin Gruber
, Zdenek Hanzlícek
:
Czech Expressive Speech Synthesis in Limited Domain - Comparison of Unit Selection and HMM-Based Approaches. TSD 2012: 656-664 - 2011
- [c8]Zdenek Hanzlícek
:
Czech HMM-Based Speech Synthesis: Experiments with Model Adaptation. TSD 2011: 107-114 - [c7]Jindrich Matousek
, Zdenek Hanzlícek
, Michal Campr, Zdenek Krnoul
, Pavel Campr, Martin Gruber
:
Web-Based System for Automatic Reading of Technical Documents for Vision Impaired Students. TSD 2011: 364-371 - 2010
- [c6]Zdenek Hanzlícek
:
Czech HMM-Based Speech Synthesis. TSD 2010: 291-298
2000 – 2009
- 2009
- [c5]Zdenek Hanzlícek
, Jindrich Matousek
, Daniel Tihelka
:
First Experiments on Text-to-Speech System Personification. TSD 2009: 186-193 - 2007
- [c4]Zdenek Hanzlícek, Jindrich Matousek:
F0 transformation within the voice conversion framework. INTERSPEECH 2007: 1961-1964 - [c3]Zdenek Hanzlícek
, Jindrich Matousek:
Voice Conversion Based on Probabilistic Parameter Transformation and Extended Inter-speaker Residual Prediction. TSD 2007: 480-487 - 2006
- [c2]Zdenek Hanzlícek
, Jindrich Matousek:
First Steps Towards New Czech Voice Conversion System. TSD 2006: 383-390 - 2005
- [c1]Jindrich Matousek, Zdenek Hanzlícek, Daniel Tihelka:
Hybrid syllable/triphone speech synthesis. INTERSPEECH 2005: 2529-2532
Coauthor Index
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last updated on 2024-06-10 21:23 CEST by the dblp team
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