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Bringing together what belongs together: Matching voice commands and radar data
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by Petr Motlicek
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last modified
May 12, 2020 11:27 PM
The whole ATCO² Project relies on two input streams. One input stream is represented by the voice command issued by air-traffic controler and the other input stream is provided by the automatic dependent surveillance-broadcast data. An independent collection of both streams makes a matching of the data inevitable. The following lines will give an insight in how the matching process is done.
Automatic speech recognition, how it works?
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by Petr Motlicek
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last modified
Apr 09, 2020 08:58 AM
[Updated, 3.4.2020]: ATCO2 project is closely aligned with the development of automatic speech recognition engines for Air-Traffic Controllers (ATCOs), particularly to automatically transcribe their communication with the pilots. This blogpost is giving some insight into the process of Automatic Speech Recognition, current trends, and some details on how it will be integrated in the ATCO2 project. We are describing Hybrid HMM-based speech recognizer, which is the current state-of-the-art speech recognition paradigm. The literature also suggests end-to-end systems. However, we did not consider using these, due to practical reasons. We use the toolkit Kaldi [1], both for training the baseline models, and processing the untranscribed data.
The annotation started
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by Petr Motlicek
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last modified
Apr 08, 2020 06:38 PM
[Updated 1. 2. 2020]: The work on ATCO2 project started during Christmas. We kicked-off one of the important phases, which is a data collection and transcription. Why do we need to start with this? Well, this will be explained in larger context below!
Kick-off meeting
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by admin
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last modified
Dec 03, 2019 03:56 PM
The kick-off meeting took place at Brno University of Technology on November 22, 2019.
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