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ORCIDJakub Vit
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2020 – today
- 2024
[j1]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)- 2021
- [c20]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 - [c19]Zdenek Hanzlícek, Jakub Vít, Markéta Rezácková:
Speakers Talking Foreign Languages in a Multi-lingual TTS System. TDS 2021: 489-498 - 2020
- [c18]Daniel Tihelka, Markéta Juzová, Jakub Vít:
Grappling with Web Technologies: The Problems of Remote Speech Recording. SPECOM 2020: 592-602 - [c17]Zdenek Hanzlícek, Jakub Vít:
LSTM-Based Speech Segmentation Trained on Different Foreign Languages. TDS 2020: 456-464
2010 – 2019
- 2019
- [c16]Tom Kenter, Vincent Wan, Chun-an Chan, Rob Clark, Jakub Vit:
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network. ICML 2019: 3331-3340 - [c15]Markéta Juzová, Daniel Tihelka, Jakub Vít:
Unified Language-Independent DNN-Based G2P Converter. INTERSPEECH 2019: 2085-2089 - [c14]Martin Gruber, Jakub Vít, Jindrich Matousek:
Web-Based Speech Synthesis Editor. INTERSPEECH 2019: 3683-3684 - [c13]Markéta Juzová, Jakub Vít:
Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion. TSD 2019: 91-102 - [c12]Jakub Vít, Zdenek Hanzlícek, Jindrich Matousek:
Czech Speech Synthesis with Generative Neural Vocoder. TSD 2019: 307-315 - [c11]Zdenek Hanzlícek, Jakub Vít, Daniel Tihelka:
LSTM-Based Speech Segmentation for TTS Synthesis. TSD 2019: 361-372 - [i1]Vincent Wan, Chun-an Chan, Tom Kenter, Jakub Vit, Rob Clark:
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network. CoRR abs/1905.07195 (2019) - 2018
- [c10]Jakub Vit, Zdenek Hanzlícek, Jindrich Matousek:
On the Analysis of Training Data for Wavenet-Based Speech Synthesis. ICASSP 2018: 5684-5688 - [c9]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 - [c8]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
- [c7]Vincent Wan, Yannis Agiomyrgiannakis, Hanna Silén, Jakub Vít:
Google's Next-Generation Real-Time Unit-Selection Synthesizer Using Sequence-to-Sequence LSTM-Based Autoencoders. INTERSPEECH 2017: 1143-1147 - [c6]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 - 2016
- [c5]Jakub Vit, Ondrej Krejcar:
Smart Solution of Alternative Energy Source for Smart Houses. IEA/AIE 2016: 830-840 - [c4]Jakub Vít, Jindrich Matousek:
Unit-Selection Speech Synthesis Adjustments for Audiobook-Based Voices. TSD 2016: 335-342 - 2013
- [c3]Julien Leroy, François Rocca, Matei Mancas, Radhwan Ben Madhkour, Fabien Grisard, Tomás Kliegr, Jaroslav Kuchar, Jakub Vit, Ivan Pirner, Petr Zimmermann:
KINterestTV - Towards Non-invasive Measure of User Interest While Watching TV. eNTERFACE 2013: 179-199 - [c2]Jakub Vit, Jindrich Matousek:
Concatenation Artifact Detection Trained from Listeners Evaluations. TSD 2013: 169-176 - 2012
- [c1]Jindrich Matousek, Jakub Vit:
Improving automatic dubbing with subtitle timing optimisation using video cut detection. ICASSP 2012: 2385-2388
Coauthor Index
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last updated on 2024-06-10 20:32 CEST by the dblp team
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