• Corpus ID: 39355678

Assistant-Based Speech Recognition for ATM Applications

  title={Assistant-Based Speech Recognition for ATM Applications},
  author={Hartmut Helmke and J{\"u}rgen Rataj and Thorsten M{\"u}hlhausen and Oliver Ohneiser and Heiko Ehr and Matthias Kleinert and Youssef Oualil and Marc Schulder},
—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. This paper shows that automatic speech recognition (ASR) integrating into air traffic management applications is an upcoming technology and is ready for use now. Apple’s Siri® or Google’s Voice Search® are… 
Assistant based speech recognition - another pair of eyes for the Arrival Manager
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Building Blocks of Assistant Based Speech Recognition for Air Traffic Management Applications
The MALORCA project used machine learning algorithms to provide a generic, cheap and effective approach for adaptation of Assistant Based Speech Recognition (ABSR), which was divided into conceptual modules that contain generic parts (building blocks) and domain specific models.
Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas
MALORCA project developed an initial basic ABSR system and semi-automatically tailored its recognition models for both Prague and Vienna approaches by machine learning from automatically transcribed audio data.
Reducing Controller Workload by Automatic Speech Recognition Assisted Radar Label Maintenance
Various new hardand software centered methods were recently implemented to replace paper flight strips through modern technical solutions. These solutions provide valuable information for other ATM
Read Back Error Detection using Automatic Speech Recognition
In the last few years, the Federal Aviation Administration (FAA) has been investigating the use of automatic speech recognition in safety monitoring capabilities, with an initial focus on the tower
Increasing ATM Efficiency withAssistant Based Speech Recognition
An ABSR validation study with eight air traffic controllers validates that ABSR does not just reduce controllers’ workload, which would already be a lot, but it significantly increases ATM efficiency.
Cost Reductions Enabled by Machine Learning in ATM How can Automatic Speech Recognition enrich human operators’ performance?
Various new solutions were recently implemented to replace paper flight strips through different means. Therefore, digital data comprising instructed air traffic controller (ATCO) commands can be
A context-aware speech recognition and understanding system for air traffic control domain
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An approach, which automatically learns a so-called Command Extraction Model from labelled controller utterances, which covers more than 98% of the commands and with just six hours of training data could achieve 94%.
Real-time integration of dynamic context information for improving automatic speech recognition
A real-time system which dynamically integrates situational context into ASR and achieves a 51% reduction of the Command Error Rate which is used as evaluation metric in the ATC domain.


Increased Acceptance of Controller Assistanceby Automatic Speech Recognition
Abstract—Situation awareness of today’s automation relies on sensor information, data bases and the information delivered by the operator using an appropriate HMI. The situation is mostly influenced
Air Traffic Controller Support by Speech Recognition
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
Tight coupling of speech recognition and dialog management - dialog-context dependent grammar weighting for speech recognition
A tight coupling of a speech recognizer with a dialog manager is presented and the word error rate of user responses to system questions is reduced by 3.3% relative for close talking and 16.0% relative, when using distant speech input.
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
To enable the speech system to give priority to recognizing what a user is most likely to say, each prediction set dynamically generates a grammar which is used by the speech recognizer.
Wireless Home Automation System with Acoustic Controlling
The proposed paper presents the design and implementation of a wireless home automation system with acoustic controlling. In this system, one voice recognition module has been added to the wireless
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Abstract : The research was designed to demonstrate a microcomputer system configuration for air control training. The objective of the research was to systemmatically integrate off-the-shelf
Feature Denoising Using Joint Sparse Representation for In-Car Speech Recognition
A joint sparse representation (JSR) is introduced to estimate the underlying clean feature vector from a noisy feature vector to capture the complex relationships between clean and noisy speech.
Speech and language processing - an introduction to natural language processing, computational linguistics, and speech recognition
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora, to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation.
Towards advanced speech driven navigation systems for cars
In this paper ideas of the next generation of speech- controlled navigation systems are presented allowing proactive dialogs. These proactive dialogs are used in the context of TMC messages informing
Time-Based Arrival Management for Dual Threshold Operation and Continous Descent Approaches
The paper deals with the successive application of time-based arrival management and automatic arrival-departure-coordination. DLR’s arrival manager 4D-CARMA supports approach controllers with