Project Details

Praktické ověření možnosti integrace umělé inteligence pro příjem tísňových volání pomocí hlasového chatbota, vyvinutého v rámci výzkumného projektu BV č. VI20192022169, s technologií pro příjem tísňové komunikace 112 a 150 v ČR (TCTV 112)

Project Period: 6. 1. 2023 – 31. 10. 2025

Project Type: grant

Code: VK01020132

Agency: Ministerstvo vnitra ČR

Program: 1 VS OPSEC

English title
Practical verification of the possibility of integrating artificial intelligence for receiving emergency calls using a voice chatbot, developed within the research project BV No. VI20192022169, with technology for receiving emergency communications
Type
grant
Keywords

artificial intelligence, emergency call

Abstract

Project focuses on research and development of artificial intelligence
technologies for automated reception and processing of emergency calls in the
environment of integrated rescue system by means of voice chat-bota (HCHB).

Team members
Schwarz Petr, Ing., Ph.D. (DCGM) – research leader
Brukner Jan, Ing. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
Egorova Ekaterina, Ing., Ph.D.
Karafiát Martin, Ing., Ph.D. (DCGM)
Kašpárek Tomáš, Ing., Ph.D. (CVT)
Kesiraju Santosh, Ph.D. (DCGM)
Klement Dominik, Ing. (DCGM)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Sarvaš Marek, Ing.
Švec Ján, Ing. (DCGM)
Udupa Sathvik (DCGM)
Veselý Karel, Ing., Ph.D. (DCGM)
Yusuf Bolaji (DCGM)
Žižka Josef, Ing. (DCGM)
Publication Results

2025

  • Alexander Polok, Jiangyu Han, Dominik Klement, Samuele Cornell, Jan Černocký, Lukáš Burget. BUT System for the MLC-SLM Challenge. ISCA: ISCA, 2025. p. 23-27. Detail
  • HAN, J.; LANDINI, F.; ROHDIN, J.; SILNOVA, A.; DIEZ SÁNCHEZ, M.; BURGET, L. Leveraging Self-Supervised Learning for Speaker Diarization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Hyderabad: IEEE Signal Processing Society, 2025. p. 1-5. ISBN: 979-8-3503-6874-1. Detail
  • HEGDE, P.; KESIRAJU, S.; ŠVEC, J.; SEDLÁČEK, Š.; YUSUF, B.; PLCHOT, O.; DEEPAK, K.; ČERNOCKÝ, J. Factors affecting the in-context learning abilities of LLMs for dialogue state tracking. In Proceedings of the Annual Conference of the International Speech Communication Association Interspeech. Interspeech. Rotterdam, The Netherlands: International Speech Communication Association, 2025. p. 4818-4822. Detail
  • KHURANA, S.; KLEMENT, D.; LAURENT, A.; BOBOS, D.; NOVOSAD, J.; GAZDIK, P.; ZHANG, E.; HUANG, Z.; HUSSEIN, A.; MARXER, R.; MASUYAMA, Y.; AIHARA, R.; HORI, C.; GERMAIN, F.; WICHERN, G.; LE ROUX, J. Factorized RVQ-GAN For Disentangled Speech Tokenization. In Proceedings of the Annual Conference of the International Speech Communication Association Interspeech. Interspeech. Rotterdam, The Netherlands: International Speech Communication Association, 2025. p. 3514-3518. Detail
  • SEDLÁČEK, Š.; YUSUF, B.; ŠVEC, J.; HEGDE, P.; KESIRAJU, S.; PLCHOT, O.; ČERNOCKÝ, J. Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs. In Proceedings of the Annual Conference of the International Speech Communication Association Interspeech. Interspeech. Rotterdam, The Netherlands: International Speech Communication Association, 2025. p. 1748-1752. Detail

2024

  • ADAMEC, V.; BERGLOWIEC, P.; SVATOŇ, V.; SCHWARZ, P.; MÜLLER, L. Využití umělé inteligence v systému příjmu tísňových volání v podmínkách České republiky. SPEKTRUM, 2024, roč. 2024, č. 2, s. 3-8. ISSN: 1804-1639. Detail
  • POLOK, A.; KLEMENT, D.; HAN, J.; SEDLÁČEK, Š.; YUSUF, B.; MACIEJEWSKI, M.; WIESNER, M.; BURGET, L. BUT/JHU System Description for CHiME-8 NOTSOFAR-1 Challenge. Proceedings of CHiME 2024 Workshop. Kos Island: International Speech Communication Association, 2024. p. 18-22. Detail

2023

  • KESIRAJU, S.; SARVAŠ, M.; PAVLÍČEK, T.; MACAIRE, C.; CIUBA, A. Strategies for Improving Low Resource Speech to Text Translation Relying on Pre-trained ASR Models. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. no. 08, p. 2148-2152. ISSN: 1990-9772. Detail
Applied Results

2025

2023

  • Modul automatizace příjmu tísňové komunikace založený na AI - verze 1, software, 2023
    Authors: Svatoň Václav, Furmánek Radek, Drábek Lukáš, Schwarz Petr, Sarvaš Marek, Veselý Karel, Karafiát Martin, Moravcová Ludvika, Hadrbolec Marek, Müller Luděk, Tihelka Daniel , Matoušek Jindřich, Zahradil Jiří, Hanzlíček Zdeněk, Krčmarský David, Milata Libor, Svoboda Milan
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