14 citations · 22 across the 8 of their papers we have counts for
9 papers
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Karel Beneš, Martin Kocour, Lukáš Burget
End-to-end (e2e) systems have recently gained wide popularity in automatic speech recognition. However, these systems do generally not provide well-calibrated word-level confidence…
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Juan Zuluaga-Gomez, Karel Veselý, Igor Szöke +13
Personal assistants, automatic speech recognizers and dialogue understanding systems are becoming more critical in our interconnected digital world. A clear example is air traffic…
Analysis of impact of emotions on target speech extraction and speech separation
Ján Švec, Kateřina Žmolíková, Martin Kocour +4
Recently, the performance of blind speech separation (BSS) and target speech extraction (TSE) has greatly progressed. Most works, however, focus on relatively well-controlled condi…
Call-sign recognition and understanding for noisy air-traffic transcripts using surveillance information
Alexander Blatt, Martin Kocour, Karel Veselý +2
Air traffic control (ATC) relies on communication via speech between pilot and air-traffic controller (ATCO). The call-sign, as unique identifier for each flight, is used to addres…
Optimal Resource Scheduling and Allocation in Distributed Computing Systems
Wei Ren, Eleftherios Vlahakis, Nikolaos Athanasopoulos +1
The essence of distributed computing systems is how to schedule incoming requests and how to allocate all computing nodes to minimize both time and computation costs. In this paper…
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model
Martin Kocour, Kateřina Žmolíková, Lucas Ondel +5
In typical multi-talker speech recognition systems, a neural network-based acoustic model predicts senone state posteriors for each speaker. These are later used by a single-talker…
Detecting English Speech in the Air Traffic Control Voice Communication
Igor Szoke, Santosh Kesiraju, Ondrej Novotny +3
We launched a community platform for collecting the ATC speech world-wide in the ATCO2 project. Filtering out unseen non-English speech is one of the main components in the data pr…
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad +4
Air traffic management and specifically air-traffic control (ATC) rely mostly on voice communications between Air Traffic Controllers (ATCos) and pilots. In most cases, these voice…
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
Martin Kocour, Guillermo Cámbara, Jordi Luque +5
This paper describes joint effort of BUT and Telefónica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge. We compare approaches based on…