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Context-aware speech recognition and understanding system for air traffic control domain

Oualil, Youssef and Klakow, Dietrich and Szaszák, György and Srinivasamurthy, Ajay and Helmke, Hartmut and Motlicek, Petr (2017) Context-aware speech recognition and understanding system for air traffic control domain. In: 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 1-5. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017), 16. - 20. December 2017, Okinawa, Japan.

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Abstract

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 dynamically adapting the ASR models. For some domains such as Air Traffic Control (ATC), this context information can be however, small in size, partial and available only as abstract concepts (e.g. airline codes), which are difficult to map into full possible spoken sentences to perform rescoring or adaptation. This paper presents a multi-modal ASRU system, which dynamically integrates partial temporal and situational ATC context information to improve its performance. This is done either by 1) extracting word sequences which carry relevant ATC information from ASR N-best lists and then perform a context-based rescoring on the extracted ATC segments or 2) by a partial adaptation of the language model. Experiments conducted on 4 hours of test data from Prague and Vienna approach showed a relative reduction of the ATC command error rate metric by 30% to 50%.

Item URL in elib:https://elib.dlr.de/113272/
Document Type:Conference or Workshop Item (Speech)
Title:Context-aware speech recognition and understanding system for air traffic control domain
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Oualil, YoussefYoussef.Oualil (at) lsv.uni-saarland.deUNSPECIFIED
Klakow, Dietrichdietrich.klakow (at) lsv.uni-saarland.deUNSPECIFIED
Szaszák, Györgygszaszak (at) lsv.uni-saarland.deUNSPECIFIED
Srinivasamurthy, Ajayajay.srinivasamurthy (at) idiap.chUNSPECIFIED
Helmke, Hartmuthartmut.helmke (at) dlr.deUNSPECIFIED
Motlicek, PetrPetr.Motlicek (at) idiap.chUNSPECIFIED
Date:2017
Journal or Publication Title:2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Page Range:pp. 1-5
Status:Published
Keywords:Automatic speech recognition, context-aware systems, air traffic control, spoken language understanding.
Event Title:IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017)
Event Location:Okinawa, Japan
Event Type:Workshop
Event Dates:16. - 20. December 2017
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Efficient Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:08 Aug 2017 10:21
Last Modified:06 Mar 2019 11:23

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