Project management of NTIS P1 Cybernetic Systems and Department of Cybernetics | WiKKY

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Publications

Publication plan

The expected number and type of publications in terms of currently valid Results assessment methodology (in Czech) are summarized in the table:

Year Jimp Jneimp Jrec D Total
(UWB / CU) (UWB / CU) (UWB / CU) (UWB / CU) (UWB / CU)
2016 0 0 0 3 (2 / 1) 3 (2 / 1)
2017 2 (1 / 1) 2 (0 / 2) 1 (0 / 1) 4 (3 / 1) 9 (4 / 5)
2018 2 (2 / 0) 0 2 (0 / 2) 6 (5 / 1) 10 (7 / 3)
Total 4 (3 / 1) 2 (0 / 2) 3 (0 / 3) 13 (10 / 3) 22 (13 / 9)

2018

  • Přibil, J., Přibilová, A., Matoušek, J. Evaluation of speaker de-identification based on voice gender and age conversion. Journal of ELECTRICAL ENGINEERING. 2018, vol. 69, No. 2, pp. 138-147
  • Vít, J., Hanzlíček, Z., Matoušek, J. On the Analysis of Training Data for WaveNet-Based Speech Synthesis. Proc. IEEE ICASSP 2018. Calgary, Canada, 2018, pp. 5684-5688
  • Tihelka, D., Hanzlíček, Z., Jůzová, M., Matoušek, J. First Steps Towards Hybrid Speech Synthesis in Czech TTS system ARTIC. Lecture Notes in Artificial Intelligence: International Conference on Speech and Computer (SPECOM). 2018, vol. 11096, pp. 676-686
  • Matura, M., Jůzová, M., Matoušek, J. On the Contribution of Articulatory Features to Speech Synthesis. Lecture Notes in Artificial Intelligence: International Conference on Speech and Computer (SPECOM). 2018, vol. 11096, pp. 398-407
  • Přibil, J., Přibilová, A., Matoušek, J. Evaluation of Synthetic Speech Quality by Statistical Analysis of Voiced and Unvoiced Part Durations. Proc. International Conference on Telecommunications and Signal Processing (TSP 2018). Athens, Greece, 2018, pp. 396-399
  • Hanzlíček, Z., Vít, J., Tihelka, D. WaveNet-Based Speech Synthesis Applied to Czech: A Comparison with the Traditional Synthesis Methods. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2018, vol. 11107, pp. 445-452
  • Přibil, J., Přibilová, A., Matoušek, J. Automatic Evaluation of Synthetic Speech Quality by a System Based on Statistical Analysis. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2018, vol. 11107, pp. 315-323
  • Jůzová M., Tihelka, D., Volín, J. On the Extension of the Formal Prosody Model for TTS. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2018, vol. 11107, pp. 351-359
  • Jůzová M., Tihelka, D., Volín, J. F0 Post-Stress Rise Trends Consideration in Unit Selection TTS. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2018, vol. 11107, pp. 360-368
  • Skarnitzl, R. (2018). Fonetická realizace slovního přízvuku u delších slov v češtině. Slovo a slovesnost, 79, 199–216
  • Skarnitzl, R. (2018). Alofonická variabilita v češtině z pohledu řečové syntézy. Akustické listy, 24, 15–20

2017

  • Matoušek, J., Tihelka, D. Anomaly-based annotation error detection in speech-synthesis corpora. Computer Speech and Language. 2017, vol. 46, pp. 1-35
  • Přibil, J., Přibilová, A., Matoušek, J. GMM-based speaker age and gender classification in Czech and Slovak. Journal of ELECTRICAL ENGINEERING. 2017, vol. 68, No. 1, pp. 3-12.
  • Přibil, J., Přibilová, A., Matoušek, J. Automatic Text-Independent Artifact Detection, Localization, and Classification in the Synthetic Speech. Radioengineering. 2017, vol. 26, No. 4, pp. 1151-1160.
  • Matoušek, J., Tihelka, D. Classification-Based Detection of Glottal Closure Instants from Speech Signals. Proc. Interspeech 2017. Stockholm, Sweden, 2017, pp. 3053-3057.
  • Matoušek, J., Tihelka, D. Annotation Error Detection: Anomaly Detection vs. Classification. Proc. SPECOM 2017. Hatfield, United Kingdom, 2017, pp. 141-151.
  • Hanzlíček, Z. Optimal Number of States in HMM-Based Speech Synthesis. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2017, vol. 10415, pp. 353-361.
  • Jůzová, M., Tihelka, D., Skarnitzl, R. Last Syllable Unit Penalization in Unit Selection TTS. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2017, vol. 10415, pp. 317-325.
  • Přibil, J., Přibilová, A., Matoušek, J. Automatic Classification of Types of Artefacts Arising During the Unit Selection Speech Synthesis. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2017, vol. 10415, pp. 38-46.
  • Bořil, T., Šturm, P., Skarnitzl, R., Volín, J. Effect of formant and F0 discontinuity on perceived vowel duration: Impacts for concatenative speech synthesis. Proc. Interspeech 2017. Stockholm, Sweden, 2017, pp. 2998-3002.

2016

  • Matoušek, J., Tihelka, D. Voting Detector: A Combination of Anomaly Detectors to Reveal Annotation Errors in TTS Corpora. Proc. Interspeech 2016. San Francisco, USA, 2016, pp. 1560-1564
  • Matoušek, J., Tihelka, D., On the Influence of the Number of Anomalous and Normal Examples in Anomaly-Based Annotation Errors Detection. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2016, vol. 9904 pp. 326-334
  • Hanzlíček, Z., Correction of Prosodic Phrases in Large Speech Corpora. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2016, vol. 9904, pp. 408-417
  • Tihelka, D., Grůber, M., Jůzová, M., Experiments with One–Class Classifier as a Predictor of Spectral Discontinuities in Unit Concatenation. Lecture Notes in Artificial Intelligence: International Conference on Speech and Computer (SPECOM). 2016, vol. 9811, pp. 296-303
  • Přibil, J., Přibilová, A., Matoušek, J., Comparison of One and Two-Level Architecture of the GMM-Based Speaker Age Classifier. Proc. International Conference on Telecommunications and Signal Processing (TSP 2016). Vienna, Austria, 2016, pp. 299-302
  • Přibil, J., Přibilová, A., Matoušek, J., GMM-Based Speaker Gender and Age Classification After Voice Conversion. Proc. First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016). Aalborg, Denmark, 2016, pp. 89-93
  • Přibil, J., Přibilová, A., Matoušek, J., Evaluation of TTS Personification by GMM-Based Speaker Gender and Age Classifier. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2016, vol. 9904 pp. 305-313
  • Bořil, T. Skarnitzl, R. Tools rPraat and mPraat: Interfacing Phonetic Analyses with Signal Processing. Lecture Notes in Artificial Intelligence: Text, Speech, and Dialogue (TSD). 2016, vol. 9904, pp. 367-374.