Hartmut Helmke
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Process Model for Integration of Speech Recognition and Understanding in Multiple Remote Tower Control Simulations Open
Simulations - especially human-in-the-loop real-time simulations - are important in the air traffic control (ATC) domain to train controllers and to test new features for controller working positions. One important reason for such simulati…
Minimum effort adaptation of automatic speech recognition system in air traffic management Open
Advancements in Automatic Speech Recognition (ASR) technology is exemplified by ubiquitous voice assistants such as Siri and Alexa. Researchers have been exploring the application of ASR for Air Traffic Management (ATM) systems. Initial pr…
Ensuring Safety for Artificial-Intelligence-Based Automatic Speech Recognition in Air Traffic Control Environment Open
This paper describes the safety assessment conducted in SESAR2020 project PJ.10-W2-96 ASR on automatic speech recognition (ASR) technology implemented for air traffic control (ATC) centers. ASR already now enables the automatic recognition…
Safety Aspects of Supporting Apron Controllers with Automatic Speech Recognition and Understanding Integrated into an Advanced Surface Movement Guidance and Control System Open
The information air traffic controllers (ATCos) communicate via radio telephony is valuable for digital assistants to provide additional safety. Yet, ATCos have to enter this information manually. Assistant-based speech recognition (ABSR) …
Assistant Based Speech Recognition Support for Air Traffic Controllers in a Multiple Remote Tower Environment Open
Assistant Based Speech Recognition (ABSR) systems for air traffic control radiotelephony communication have shown their potential to reduce air traffic controllers’ (ATCos) workload. Related research activities mainly focused on utterances…
Validating Automatic Speech Recognition and Understanding for Pre-Filling Radar Labels—Increasing Safety While Reducing Air Traffic Controllers’ Workload Open
Automatic speech recognition and understanding (ASRU) for air traffic control (ATC) has been investigated in different ATC environments and applications. The objective of this study was to quantify the effect of ASRU support for air traffi…
Effects of Language Ontology on Transatlantic Automatic Speech Understanding Research Collaboration in the Air Traffic Management Domain Open
As researchers around the globe develop applications for the use of Automatic Speech Recognition and Understanding (ASRU) in the Air Traffic Management (ATM) domain, Air Traffic Control (ATC) language ontologies will play a critical role i…
Bertraffic: Bert-Based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications Open
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC named entities, e.g., aircraft callsigns. One common ch…
How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications Open
Recent work on self-supervised pre-training focus on leveraging \nlarge-scale unlabeled speech data to build robust end-to-end (E2E) \nacoustic models (AM) that can be later fine-tuned on downstream \ntasks e.g., automatic speech recogniti…
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications Open
Recent work on self-supervised pre-training focus on leveraging large-scale unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine-tuned on downstream tasks e.g., automatic speech recognition (AS…
BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications. Open
Automatic Speech Recognition (ASR) is gaining special interest in Air Traffic Control (ATC). ASR allows transcribing the communications between air traffic controllers (ATCOs) and pilots. These transcriptions are used to extract ATC comman…
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications Open
Automatic speech recognition (ASR) allows transcribing the communications between air traffic controllers (ATCOs) and aircraft pilots. The transcriptions are used later to extract ATC named entities, e.g., aircraft callsigns. One common ch…
Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR. Open
Assistant Based Speech Recognition (ABSR) for air traffic control is generally trained by pooling both Air Traffic Controller (ATCO) and pilot data. In practice, this is motivated by the fact that the proportion of pilot data is lesser com…
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition Open
Automatic Speech Recognition (ASR) for air traffic control is generally trained by pooling Air Traffic Controller (ATCO) and pilot data into one set. This is motivated by the fact that pilot's voice communications are more scarce than ATCO…
Reducing Controller Workload by Automatic Speech Recognition Assisted Radar Label Maintenance Open
Various new hard- and software centered methods were recently implemented to replace paper flight strips through modern technical solutions. These solutions provide valuable information for other ATM applications about the verbally given g…
Building Blocks of Assistant Based Speech Recognition for Air Traffic Management Applications Open
In air traffic control rooms around the world paper flight strips are replaced through different digital solutions. This enables other systems to access the instructed air traffic controller (ATCo) commands and use them for other purposes.…
Ontology for Transcription of ATC Speech Commands of SESAR 2020 Solution PJ.16-04 Open
Nowadays Automatic Speech Recognition (ASR) applications are increasingly successful in the air traffic (ATC) domain. Paramount to achieving this is collecting enough data for \nspeech recognition model training. Thousands of hours of ATC …
Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas Open
Air Navigation Service Provider (ANSPs) replace paper flight strips through different digital solutions. The instructed commands from an air traffic controller (ATCOs) are then available in computer readable form. However, those systems re…
Iterative Learning of Speech Recognition Models for Air Traffic Control Open
Automatic Speech Recognition (ASR) has recently proved to be a useful tool to reduce the workload of air traffic controllers leading to significant gains in operational efficiency. Air Traffic Control (ATC) systems in operation rooms aroun…
A context-aware speech recognition and understanding system for air traffic control domain Open
Automatic Speech Recognition and Understanding (ASRU) systems can generally use temporal and situational context information to improve their performance for a given task. This is typically done by rescoring the ASR hypotheses or by dynami…
Machine Learning of Controller Command Prediction Models from Recorded Radar Data and Controller Speech Utterances Open
Recently, the project AcListant® related to automatic speech recognition has achieved command recognition error rates below 1.7% based on Assistant Based Speech Recognition (ABSR). One main issue to transfer ABSR from the laboratory to the…
Semi-Supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control Open
Automatic Speech Recognition (ASR) can introduce higher levels of automation into Air Traffic Control (ATC), where spoken language is still the predominant form of communication. While ATC uses standard phraseology and a limited vocabulary…