For human beings it is taken for granted, for a technical system not implemented so far: the possibility to listen to the conversation of other people and derive activities from the understood contents. The project AcListant (Active Listening Assistant, 2013–2015) implemented a prototype for understanding the controller-pilot-communication.
Marc Schulder
Research Associate in Computational Linguistics
My research interests include sign languages, natural language processing, and open science.
Publications
Abstract In air traffic control, assistant systems support air traffic controllers in their work. To improve the reactivity and accuracy of the assistant, automatic speech recognition can monitor the commands uttered by the controller.
Marc Schulder,
Johannah O'Mahony,
Yury Bakanouski,
Dietrich Klakow
Abstract The project AcListant® (Active Listening Assistant), which uses automatic speech recognition to recognize the commands in air traffic controller to pilot communication, has achieved command recognition rates above 95%. These high rates were obtained with an Assistance-Based Speech Recognition (ABSR).
Hartmut Helmke,
Youssef Oualil,
Marc Schulder
Abstract The use of prior situational/contextual knowledge about a given task can significantly improve Automatic Speech Recognition (ASR) performance. This is typically done through adaptation of acoustic or language models if data is available, or using knowledge-based rescoring.
Youssef Oualil,
Marc Schulder,
Hartmut Helmke,
Anna Schmidt,
Dietrich Klakow
Abstract Situation awareness of today’s automation relies so far on sensor information, data bases and the information delivered by the operator using an appropriate user interface. Listening to the conversation of people is not addressed until today, but an asset in many working situations of teams.
Hartmut Helmke,
Jürgen Rataj,
Thorsten Mühlhausen,
Oliver Ohneiser,
Heiko Ehr,
Matthias Kleinert,
Youssef Oualil,
Marc Schulder
Abstract This paper presents an approach for incorporating situational context information into an on-line Automatic Speech Recognition (ASR) component of an Air Traffic Control (ATC) assistance system to improve recognition performance.
Anna Schmidt,
Youssef Oualil,
Oliver Ohneiser,
Matthias Kleinert,
Marc Schulder,
Arif Khan,
Hartmut Helmke,
Dietrich Klakow
Abstract Air traffic controllers (ATCO) are a core element of the flight guidance process. Decision support systems with accurate output data could increase the controllers’ performance or reduce their workload. Nowadays radar data based identification of controllers’ intent causes delays of up to 30 seconds.
Oliver Ohneiser,
Hartmut Helmke,
Heiko Ehr,
Hejar Gürlük,
Michael Hössl,
Thorsten Mühlhausen,
Youssef Oualil,
Marc Schulder,
Anna Schmidt,
Arif Khan,
Dietrich Klakow