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: Ministry of Interior of the Czech Republic
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.
(UPGM FIT VUT)
, research leader
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Brukner Jan, Ing. (UPGM FIT VUT)
Egorova Ekaterina, Ing., Ph.D. (UPGM FIT VUT)
Karafiát Martin, Ing., Ph.D. (UPGM FIT VUT)
Kašpárek Tomáš, Ing., Ph.D. (CVT FIT VUT)
Kesiraju Santosh (UPGM FIT VUT)
Klement Dominik, Bc. (FIT VUT)
Rohdin Johan A., Dr. (UPGM FIT VUT)
Sarvaš Marek, Bc. (UPGM FIT VUT)
Švec Ján, Ing. (UPGM FIT VUT)
Udupa Sathvik (UPGM FIT VUT)
Veselý Karel, Ing., Ph.D. (UPGM FIT VUT)
Yusuf Bolaji (UPGM FIT VUT)
Žižka Josef, Ing. (UPGM FIT VUT)
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Brukner Jan, Ing. (UPGM FIT VUT)
Egorova Ekaterina, Ing., Ph.D. (UPGM FIT VUT)
Karafiát Martin, Ing., Ph.D. (UPGM FIT VUT)
Kašpárek Tomáš, Ing., Ph.D. (CVT FIT VUT)
Kesiraju Santosh (UPGM FIT VUT)
Klement Dominik, Bc. (FIT VUT)
Rohdin Johan A., Dr. (UPGM FIT VUT)
Sarvaš Marek, Bc. (UPGM FIT VUT)
Švec Ján, Ing. (UPGM FIT VUT)
Udupa Sathvik (UPGM FIT VUT)
Veselý Karel, Ing., Ph.D. (UPGM FIT VUT)
Yusuf Bolaji (UPGM FIT VUT)
Žižka Josef, Ing. (UPGM FIT VUT)
Publications
2023
- KESIRAJU Santosh, SARVAŠ Marek, PAVLÍČEK Tomáš, MACAIRE Cécile and CIUBA Alejandro. 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. Dublin: International Speech Communication Association, 2023, pp. 2148-2152. ISSN 1990-9772. Detail