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2020 – today
- 2024
[j9]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)- [j8]Markéta Rezácková, Daniel Tihelka, Jindrich Matousek:
T5G2P: Text-to-Text Transfer Transformer Based Grapheme-to-Phoneme Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3466-3476 (2024) - [c109]Daniel Tihelka, Jindrich Matousek, Zdenek Hanzlícek, Lukás Vladar:
Sentences vs Phrases in Neural Speech Synthesis. TSD (2) 2024: 36-45 - [c108]Jan Lehecka, Zdenek Hanzlícek, Jindrich Matousek, Daniel Tihelka:
Zero-Shot vs. Few-Shot Multi-speaker TTS Using Pre-trained Czech SpeechT5 Model. TSD (2) 2024: 46-57 - [c107]Lukás Vladar, Jindrich Matousek:
Effects of Training Strategies and the Amount of Speech Data on the Quality of Speech Synthesis. TSD (2) 2024: 94-104 - [i1]Jan Lehecka, Zdenek Hanzlícek, Jindrich Matousek, Daniel Tihelka:
Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech SpeechT5 Model. CoRR abs/2407.17167 (2024) - 2023
- [c106]Jindrich Matousek, Daniel Tihelka, Alice Tihelková:
VITS, Tacotron or FastSpeech? Challenging Some of the Most Popular Synthesizers. ACPR (3) 2023: 322-335 - [c105]Markéta Rezácková, Adam Frémund, Jan Svec, Jindrich Matousek:
T5G2P: Multilingual Grapheme-to-Phoneme Conversion with Text-to-Text Transfer Transformer. ACPR (3) 2023: 336-345 - [c104]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 - [c103]Marie Kunesová, Jindrich Matousek:
Neural Speech Synthesis with Enriched Phrase Boundaries. INTERSPEECH 2023: 4833-4837 - [c102]Jindrich Matousek, Daniel Tihelka:
VITS: Quality Vs. Speed Analysis. TSD 2023: 214-225 - 2022
- [c101]Jindrich Matousek, Daniel Tihelka:
Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech. ANNPR 2022: 107-120 - [c100]Zdenek Hanzlícek, Jindrich Matousek:
Phonetic Speech Segmentation of Audiobooks by Using Adapted LSTM-Based Acoustic Models. IBERAMIA 2022: 317-327 - [c99]Markéta Rezácková, Jindrich Matousek:
Text-to-Text Transfer Transformer Phrasing Model Using Enriched Text Input. TSD 2022: 389-400 - [c98]Jindrich Matousek, Daniel Tihelka:
On Comparison of Phonetic Representations for Czech Neural Speech Synthesis. TSD 2022: 410-422 - 2021
- [c97]Jindrich Matousek, Daniel Tihelka:
A Comparison of Convolutional Neural Networks for Glottal Closure Instant Detection from Raw Speech. ICASSP 2021: 6938-6942 - [c96]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 - [c95]Jan Volín, Markéta Rezácková, Jindrich Matousek:
Human and Transformer-Based Prosodic Phrasing in Two Speech Genres. SPECOM 2021: 761-772 - [c94]Michal Vrastil, Jindrich Matousek:
On Comparison of XGBoost and Convolutional Neural Networks for Glottal Closure Instant Detection. TDS 2021: 448-456 - [c93]Daniel Tihelka, Jindrich Matousek, Alice Tihelková:
How Much End-to-End is Tacotron 2 End-to-End TTS System. TDS 2021: 511-522 - 2020
- [j7]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) - [j6]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) - [c92]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Synthetic Speech Evaluation by Differential Maps in Pleasure-Arousal Space. SPECOM 2020: 424-434 - [c91]Jindrich Matousek, Michal Vrastil:
Context-Aware XGBoost for Glottal Closure Instant Detection in Speech Signal. TDS 2020: 446-455 - [c90]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Synthetic Speech Evaluation by 2D GMM Classification in Pleasure-Arousal Scale. TSP 2020: 10-13
2010 – 2019
- 2019
- [j5]Lubos Smídl, Jan Svec, Daniel Tihelka, Jindrich Matousek, Jan Romportl, Pavel Ircing:
Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development. Lang. Resour. Evaluation 53(3): 449-464 (2019) - [c89]Jindrich Matousek, Daniel Tihelka:
Using Extreme Gradient Boosting to Detect Glottal Closure Instants in Speech Signal. ICASSP 2019: 6515-6519 - [c88]Martin Gruber, Jakub Vít, Jindrich Matousek:
Web-Based Speech Synthesis Editor. INTERSPEECH 2019: 3683-3684 - [c87]Martin Gruber, Adam Chýlek, Jindrich Matousek:
Framework for Conducting Tasks Requiring Human Assessment. INTERSPEECH 2019: 4626-4627 - [c86]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States. TSD 2019: 264-273 - [c85]Jakub Vít, Zdenek Hanzlícek, Jindrich Matousek:
Czech Speech Synthesis with Generative Neural Vocoder. TSD 2019: 307-315 - [c84]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Artefact Determination by GMM-Based Continuous Detection of Emotional Changes in Synthetic Speech. TSP 2019: 45-48 - 2018
- [c83]Jakub Vit, Zdenek Hanzlícek, Jindrich Matousek:
On the Analysis of Training Data for Wavenet-Based Speech Synthesis. ICASSP 2018: 5684-5688 - [c82]Jindrich Matousek, Daniel Tihelka:
Glottal Closure Instant Detection from Speech Signal Using Voting Classifier and Recursive Feature Elimination. INTERSPEECH 2018: 2112-2116 - [c81]Lubos Smídl, Jan Svec, Daniel Tihelka, Jindrich Matousek, Jan Romportl, Pavel Ircing:
Design and Development of Speech Corpora for Air Traffic Control Training. LREC 2018 - [c80]Martin Matura, Markéta Juzová, Jindrich Matousek:
On the Contribution of Articulatory Features to Speech Synthesis. SPECOM 2018: 398-407 - [c79]Daniel Tihelka, Zdenek Hanzlícek, Markéta Juzová, Jindrich Matousek:
First Steps Towards Hybrid Speech Synthesis in Czech TTS System ARTIC. SPECOM 2018: 676-686 - [c78]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Automatic Evaluation of Synthetic Speech Quality by a System Based on Statistical Analysis. TSD 2018: 315-323 - [c77]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 - [c76]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Evaluation of Synthetic Speech Quality by Statistical Analysis of Voiced and Unvoiced Part Durations. TSP 2018: 1-4 - 2017
- [j4]Jindrich Matousek, Daniel Tihelka:
Anomaly-based annotation error detection in speech-synthesis corpora. Comput. Speech Lang. 46: 1-35 (2017) - [c75]Jindrich Matousek, Daniel Tihelka:
Classification-Based Detection of Glottal Closure Instants from Speech Signals. INTERSPEECH 2017: 3053-3057 - [c74]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 - [c73]Markéta Juzová, Daniel Tihelka, Jindrich Matousek, Zdenek Hanzlícek:
Voice Conservation and TTS System for People Facing Total Laryngectomy. INTERSPEECH 2017: 3425-3426 - [c72]Jindrich Matousek, Daniel Tihelka:
Annotation Error Detection: Anomaly Detection vs. Classification. SPECOM 2017: 141-151 - [c71]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Automatic Classification of Types of Artefacts Arising During the Unit Selection Speech Synthesis. TSD 2017: 38-46 - [c70]Jindrich Matousek, Michal Klíma:
Automatic Phonetic Segmentation Using the Kaldi Toolkit. TSD 2017: 138-146 - 2016
- [c69]Martin Gruber, Jindrich Matousek, Zdenek Hanzlícek, Zdenek Krnoul, Zbynek Zajíc:
ARET - Automatic Reading of Educational Texts for Visually Impaired Students. INTERSPEECH 2016: 383-384 - [c68]Jindrich Matousek, Daniel Tihelka:
Voting Detector: A Combination of Anomaly Detectors to Reveal Annotation Errors in TTS Corpora. INTERSPEECH 2016: 1560-1564 - [c67]Markéta Juzová, Daniel Tihelka, Jindrich Matousek:
Designing High-Coverage Multi-level Text Corpus for Non-professional-voice Conservation. SPECOM 2016: 207-215 - [c66]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
GMM-based speaker gender and age classification after voice conversion. SPLINE 2016: 1-5 - [c65]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Evaluation of TTS Personification by GMM-Based Speaker Gender and Age Classifier. TSD 2016: 305-313 - [c64]Jindrich Matousek, Daniel Tihelka:
On the Influence of the Number of Anomalous and Normal Examples in Anomaly-Based Annotation Errors Detection. TSD 2016: 326-334 - [c63]Jakub Vít, Jindrich Matousek:
Unit-Selection Speech Synthesis Adjustments for Audiobook-Based Voices. TSD 2016: 335-342 - [c62]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Comparison of one and two-level architecture of the GMM-based speaker age classifier. TSP 2016: 299-302 - 2015
- [c61]Jindrich Matousek, Daniel Tihelka:
Anomaly-based annotation errors detection in TTS corpora. INTERSPEECH 2015: 314-318 - [c60]Jirí Pribil, Anna Pribilová, Jindrich Matousek:
Experiment with GMM-Based Artefact Localization in Czech Synthetic Speech. TSD 2015: 23-31 - [c59]Martin Matura, Jindrich Matousek:
Detection of Large Segmentation Errors with Score Predictive Model. TSD 2015: 524-532 - [c58]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Detection of artefacts in czech synthetic speech based on ANOVA statistics. TSP 2015: 1-5 - 2014
- [c57]Jirí Kala, Jindrich Matousek:
Very fast unit selection using Viterbi search with zero-concatenation-cost chains. ICASSP 2014: 2569-2573 - [c56]Jirí Kala, Jindrich Matousek:
Quality Improvements of Zero-Concatenation-Cost Chain Based Unit Selection. SPECOM 2014: 376-385 - [c55]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
GMM Classification of Text-to-Speech Synthesis: Identification of Original Speaker's Voice. TSD 2014: 365-373 - [c54]Daniel Tihelka, Jindrich Matousek, Zdenek Hanzlícek:
Modelling F0 Dynamics in Unit Selection Based Speech Synthesis. TSD 2014: 457-464 - 2013
- [c53]Jindrich Matousek, Daniel Tihelka:
Annotation errors detection in TTS corpora. INTERSPEECH 2013: 1511-1515 - [c52]Martin Gruber, Jindrich Matousek:
Improvements in Czech Expressive Speech Synthesis in Limited Domain. SPECOM 2013: 170-180 - [c51]Jindrich Matousek, Daniel Tihelka, Milan Legát:
Is unit selection aware of audible artifacts? SSW 2013: 267-271 - [c50]Jakub Vit, Jindrich Matousek:
Concatenation Artifact Detection Trained from Listeners Evaluations. TSD 2013: 169-176 - [c49]Milan Legát, Daniel Tihelka, Jindrich Matousek:
Configuring TTS Evaluation Method Based on Unit Cost Outlier Detection. TSD 2013: 177-184 - [c48]Jiri Pribil, Anna Pribilová, Jindrich Matousek:
Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier. TSD 2013: 241-248 - [c47]Zdenek Hanzlícek, Jindrich Matousek, Daniel Tihelka:
Experiments on Reducing Footprint of Unit Selection TTS System. TSD 2013: 249-256 - [c46]Jindrich Matousek, Daniel Tihelka:
SVM-Based Detection of Misannotated Words in Read Speech Corpora. TSD 2013: 457-464 - 2012
- [c45]Jindrich Matousek, Jakub Vit:
Improving automatic dubbing with subtitle timing optimisation using video cut detection. ICASSP 2012: 2385-2388 - [c44]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 - [c43]Jindrich Matousek, Daniel Tihelka, Lubos Smídl:
On the Impact of Annotation Errors on Unit-Selection Speech Synthesis. TSD 2012: 456-463 - 2011
- [j3]Jan Romportl, Jindrich Matousek:
Several Aspects of Machine-Driven Phrasing in Text-to-Speech Systems. Prague Bull. Math. Linguistics 95: 51-62 (2011) - [j2]Milan Legát, Jindrich Matousek, Daniel Tihelka:
On the detection of pitch marks using a robust multi-phase algorithm. Speech Commun. 53(4): 552-566 (2011) - [c42]Milan Legát, Jindrich Matousek:
Analysis of Data Collected in Listening Tests for the Purpose of Evaluation of Concatenation Cost Functions. TSD 2011: 33-40 - [c41]Milan Legát, Jindrich Matousek:
Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours. TSD 2011: 171-178 - [c40]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
- [c39]Daniel Tihelka, Jirí Kala, Jindrich Matousek:
Enhancements of viterbi search for fast unit selection synthesis. INTERSPEECH 2010: 174-177 - [c38]Martin Gruber, Jindrich Matousek:
Listening-Test-Based Annotation of Communicative Functions for Expressive Speech Synthesis. TSD 2010: 283-290 - [c37]Milan Legát, Jindrich Matousek:
Collection and Analysis of Data for Evaluation of Concatenation Cost Functions. TSD 2010: 345-352 - [c36]Jindrich Matousek:
Automatic Segmentation of Parasitic Sounds in Speech Corpora for TTS Synthesis. TSD 2010: 369-376
2000 – 2009
- 2009
- [c35]Jindrich Matousek, Radek Skarnitzl, Pavel Machac, Jan Trmal:
Identification and automatic detection of parasitic speech sounds. INTERSPEECH 2009: 876-879 - [c34]Jindrich Matousek:
Automatic Pitch-Synchronous Phonetic Segmentation with Context-Independent HMMs. TSD 2009: 178-185 - [c33]Zdenek Hanzlícek, Jindrich Matousek, Daniel Tihelka:
First Experiments on Text-to-Speech System Personification. TSD 2009: 186-193 - [c32]Milan Legát, Jindrich Matousek:
Design of the Test Stimuli for the Evaluation of Concatenation Cost Functions. TSD 2009: 339-346 - 2008
- [c31]Jindrich Matousek, Jan Romportl:
Automatic pitch-synchronous phonetic segmentation. INTERSPEECH 2008: 1626-1629 - [c30]Jindrich Matousek, Daniel Tihelka, Jan Romportl:
Building of a Speech Corpus Optimised for Unit Selection TTS Synthesis. LREC 2008 - 2007
- [c29]Milan Legát, Jindrich Matousek, Daniel Tihelka:
A robust multi-phase pitch-mark detection algorithm. INTERSPEECH 2007: 1641-1644 - [c28]Zdenek Hanzlícek, Jindrich Matousek:
F0 transformation within the voice conversion framework. INTERSPEECH 2007: 1961-1964 - [c27]Martin Gruber, Daniel Tihelka, Jindrich Matousek:
Evaluation of various unit types in the unit selection approach for the Czech language using the Festival system. SSW 2007: 276-281 - [c26]Jindrich Matousek, Jan Romportl:
Recording and Annotation of Speech Corpus for Czech Unit Selection Speech Synthesis. TSD 2007: 326-333 - [c25]Zdenek Hanzlícek, Jindrich Matousek:
Voice Conversion Based on Probabilistic Parameter Transformation and Extended Inter-speaker Residual Prediction. TSD 2007: 480-487 - [c24]Milan Legát, Daniel Tihelka, Jindrich Matousek:
Pitch Marks at Peaks or Valleys? TSD 2007: 502-507 - [c23]Daniel Tihelka, Jindrich Matousek, Jirí Kala:
Quality Deterioration Factors in Unit Selection Speech Synthesis. TSD 2007: 508-515 - 2006
- [j1]Milos Zelezný, Zdenek Krnoul, Petr Císar, Jindrich Matousek:
Design, implementation and evaluation of the Czech realistic audio-visual speech synthesis. Signal Process. 86(12): 3657-3673 (2006) - [c22]Jindrich Matousek, Jan Romportl:
On building phonetically and prosodically rich speech corpus for text-to-speech synthesis. Computational Intelligence 2006: 325-330 - [c21]Daniel Tihelka, Jindrich Matousek:
Unit selection and its relation to symbolic prosody: a new approach. INTERSPEECH 2006 - [c20]Zdenek Hanzlícek, Jindrich Matousek:
First Steps Towards New Czech Voice Conversion System. TSD 2006: 383-390 - [c19]Jindrich Matousek, Daniel Tihelka, Jan Romportl:
Current State of Czech Text-to-Speech System ARTIC. TSD 2006: 439-446 - [c18]Daniel Tihelka, Jindrich Matousek:
Diphones vs. Triphones in Czech Unit Selection TTS. TSD 2006: 531-538 - 2005
- [c17]Jindrich Matousek, Zdenek Hanzlícek, Daniel Tihelka:
Hybrid syllable/triphone speech synthesis. INTERSPEECH 2005: 2529-2532 - [c16]Jindrich Matousek, Jirí Kala:
On Modelling Glottal Stop in Czech Text-to-Speech Synthesis. TSD 2005: 257-264 - [c15]Jan Romportl, Jindrich Matousek:
Formal Prosodic Structures and Their Application in NLP. TSD 2005: 371-378 - 2004
- [c14]Jindrich Matousek, Jan Romportl, Daniel Tihelka, Zbynek Tychtl:
Recent improvements on ARTIC: czech text-to-speech system. INTERSPEECH 2004: 1933-1936 - [c13]Daniel Tihelka, Jindrich Matousek:
The Design of Czech Language Formal Listening Tests for the Evaluation of TTS Systems. LREC 2004 - [c12]Jindrich Matousek, Daniel Tihelka:
Slovak Text-to-Speech Synthesis in ARTIC System. TSD 2004: 155-162 - [c11]Jan Romportl, Jindrich Matousek, Daniel Tihelka:
Advanced Prosody Modelling. TSD 2004: 441-448 - 2003
- [c10]Jindrich Matousek, Daniel Tihelka, Josef Psutka:
Automatic segmentation for czech concatenative speech synthesis using statistical approach with boundary-specific correction. INTERSPEECH 2003: 301-304 - [c9]Jan Romportl, Daniel Tihelka, Jindrich Matousek:
Sentence boundary detection in Czech TTS system using neural networks. ISSPA (2) 2003: 247-250 - [c8]Jindrich Matousek, Daniel Tihelka, Josef Psutka:
Experiments with Automatic Segmentation for Czech Speech Synthesis. TSD 2003: 287-294 - 2002
- [c7]Jindrich Matousek, Daniel Tihelka, Josef Psutka, Jana Hesová:
German and Czech Speech Synthesis Using HMM-Based Speech Segment Database. TSD 2002: 173-180 - 2001
- [c6]Jindrich Matousek, Josef Psutka, Jiri Kruta:
Design of speech corpus for text-to-speech synthesis. INTERSPEECH 2001: 2047-2050 - [c5]Josef Psutka, Vlasta Radová, Ludek Müller, Jindrich Matousek, Pavel Ircing, David Graff:
Large broadcast news and read speech corpora of spoken czech. INTERSPEECH 2001: 2067-2070 - 2000
- [c4]Jindrich Matousek, Josef Psutka:
ARTIC: a new Czech text-to-speech system using statistical approach to speech segment database construction. INTERSPEECH 2000: 612-615 - [c3]Jindrich Matousek:
Building a New Czech Text-to-Speech System Using Triphone-Based Speech Units. TSD 2000: 223-228
1990 – 1999
- 1999
- [c2]Jindrich Matousek:
Speech synthesis using HMM-based acoustic unit inventory. EUROSPEECH 1999: 2323-2326 - [c1]Jindrich Matousek, Josef Psutka, Zbynek Tychtl:
Statistical Approach to the Automatic Synthesis of Czech Speech. TSD 1999: 376-379
Coauthor Index
Jiri Pribil
aka: Jirí Pribil
aka: Jirí Pribil
[j8] [c109] [c108] [i1] [c106] [c104] [c102] [c101] [c98] [c97] [c96] [c93] [j7] [j5] [c89] [c82] [c81] [c79] [c77] [j4] [c75] [c74] [c73] [c72] [c68] [c67] [c64] [c61] [c54] [c53] [c51] [c49] [c47] [c46] [c44] [c43] [j2] [c39] [c33] [c30] [c29] [c27] [c24] [c23] [c21] [c19] [c18] [c17] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7]
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