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Markéta Juzová
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2020 – today
- 2020
- [c23]Daniel Tihelka
, Zdenek Hanzlícek
, Markéta Juzová
:
Uncertainty of Phone Voicing and Its Impact on Speech Synthesis. SPECOM 2020: 581-591 - [c22]Daniel Tihelka
, Markéta Juzová
, Jakub Vít
:
Grappling with Web Technologies: The Problems of Remote Speech Recording. SPECOM 2020: 592-602 - [c21]Markéta Juzová
, Daniel Tihelka
:
Speaker-Dependent BiLSTM-Based Phrasing. TDS 2020: 340-347
2010 – 2019
- 2019
- [c20]Markéta Juzová, Daniel Tihelka
, Jakub Vít:
Unified Language-Independent DNN-Based G2P Converter. INTERSPEECH 2019: 2085-2089 - [c19]Markéta Juzová, Jakub Vít:
Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion. TSD 2019: 91-102 - 2018
- [c18]Markéta Juzová:
On the Comparison of Different Phrase Boundary Detection Approaches Trained on Czech TTS Speech Corpora. SPECOM 2018: 255-263 - [c17]Martin Matura, Markéta Juzová:
Correction of Formal Prosodic Structures in Czech Corpora Using Legendre Polynomials. SPECOM 2018: 387-397 - [c16]Martin Matura, Markéta Juzová, Jindrich Matousek
:
On the Contribution of Articulatory Features to Speech Synthesis. SPECOM 2018: 398-407 - [c15]Daniel Tihelka
, Zdenek Hanzlícek
, Markéta Juzová, Jindrich Matousek
:
First Steps Towards Hybrid Speech Synthesis in Czech TTS System ARTIC. SPECOM 2018: 676-686 - [c14]Markéta Juzová, Daniel Tihelka
, Jan Volín
:
On the Extension of the Formal Prosody Model for TTS. TSD 2018: 351-359 - [c13]Markéta Juzová, Jan Volín
:
\hbox F_0 Post-Stress Rise Trends Consideration in Unit Selection TTS. TSD 2018: 360-368 - [c12]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 - [c11]Martin Matura, Markéta Juzová:
Using Anomaly Detection for Fine Tuning of Formal Prosodic Structures in Speech Synthesis. TSD 2018: 411-418 - 2017
- [c10]Markéta Juzová, Daniel Tihelka, Jindrich Matousek, Zdenek Hanzlícek:
Voice Conservation and TTS System for People Facing Total Laryngectomy. INTERSPEECH 2017: 3425-3426 - [c9]Markéta Juzová:
CRF-Based Phrase Boundary Detection Trained on Large-Scale TTS Speech Corpora. SPECOM 2017: 272-281 - [c8]Markéta Juzová:
Prosodic Phrase Boundary Classification Based on Czech Speech Corpora. TSD 2017: 165-173 - [c7]Markéta Juzová, Daniel Tihelka
, Radek Skarnitzl:
Last Syllable Unit Penalization in Unit Selection TTS. TSD 2017: 317-325 - 2016
- [c6]Markéta Juzová, Daniel Tihelka
, Jindrich Matousek
:
Designing High-Coverage Multi-level Text Corpus for Non-professional-voice Conservation. SPECOM 2016: 207-215 - [c5]Daniel Tihelka
, Martin Gruber
, Markéta Juzová:
Experiments with One-Class Classifier as a Predictor of Spectral Discontinuities in Unit Concatenation. SPECOM 2016: 296-303 - [c4]Markéta Juzová, Daniel Tihelka
:
Difficulties with Wh-Questions in Czech TTS System. TSD 2016: 359-366 - 2015
- [c3]Markéta Juzová, Jan Romportl, Daniel Tihelka
:
Speech Corpus Preparation for Voice Banking of Laryngectomised Patients. TSD 2015: 282-290 - 2014
- [c2]Markéta Juzová, Daniel Tihelka
:
Minimum Text Corpus Selection for Limited Domain Speech Synthesis. TSD 2014: 398-407 - [c1]Markéta Juzová, Daniel Tihelka
:
Tuning Limited Domain Speech Synthesis Using General Text-to-Speech System. TSD 2014: 408-415
Coauthor Index
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