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The HAAWAII Framework for Automatic Speech Understanding of Air Traffic Communication

Helmke, Hartmut and Kleinert, Matthias and Linß, Arthur and Klamert, Lucas and Motlicek, Petr and Harfmann, Julia and Cebola, Nuno and Wiese, Hanno and Arilíusson, Hörður and Simiganoschi, Teodor (2023) The HAAWAII Framework for Automatic Speech Understanding of Air Traffic Communication. In: SESAR Innovation Days 2023. SESAR Innovation Days 2023 (SIDs), 2023-11-27 - 2023-11-30, Sevilla, Spanien. doi: 10.61009/SID.2023.1.04.

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Abstract

During the last decade many successful applications combining Automatic Speech Recognition and Understanding (ASRU) for Air Traffic Management applications have been proposed and demonstrated. The HAAWAII project developed a generic architecture and framework, which was validated for, e.g., callsign highlighting, pre-filling radar labels and readback error detection. It supports recognizing and understanding pilot and air traffic controller (ATCo) transmissions. Contextual information extracted from available surveillance data, from flight plan data and from previous transmissions can be exploited to significantly improve ASRU performance. Different design decisions have been taken, depending on concrete scenarios. This paper evaluates the effect of the design decisions integrated in the HAAWAII framework on overall performance for speech understanding based on eight hypotheses, of which seven are validated. Using all framework elements enables command recognition rates for ATCos of 90% for real-time applications and 93% for offline applications, respectively. The most significant impact is achieved, when callsign information from surveillance data is available: the command recognition rate improves by more than 20% absolute. Knowing apriori, whether ATCo or pilot is speaking, can provide additional improvement in command recognition rate up to 16% absolute. The reported results are based on commands from apron, approach, and enroute recorded both in laboratory and in ops room environment.

Item URL in elib:https://elib.dlr.de/201207/
Document Type:Conference or Workshop Item (Speech)
Title:The HAAWAII Framework for Automatic Speech Understanding of Air Traffic Communication
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Helmke, HartmutUNSPECIFIEDhttps://orcid.org/0000-0002-1939-0200UNSPECIFIED
Kleinert, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0002-0782-4147UNSPECIFIED
Linß, ArthurUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klamert, LucasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Motlicek, PetrUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Harfmann, JuliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cebola, NunoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wiese, HannoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Arilíusson, HörðurUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Simiganoschi, TeodorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:November 2023
Journal or Publication Title:SESAR Innovation Days 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.61009/SID.2023.1.04
Status:Published
Keywords:Recognition; ABSR; ASRU; Speech Understanding; HAAWAII framework; Air Traffic Control; Voice Recognition
Event Title:SESAR Innovation Days 2023 (SIDs)
Event Location:Sevilla, Spanien
Event Type:international Conference
Event Start Date:27 November 2023
Event End Date:30 November 2023
Organizer:SESAR Joint Undertaking
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Integrated Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:15 Dec 2023 08:20
Last Modified:24 Apr 2024 21:01

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