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Context-based recognition network adaptation for improving on-line ASR in Air Traffic Control

Schmidt, Anna and Oualil, Youssef and Ohneiser, Oliver and Kleinert, Matthias and Schulder, Marc and Khan, Arif and Helmke, Hartmut (2014) Context-based recognition network adaptation for improving on-line ASR in Air Traffic Control. 2014 IEEE Spoken Language Technology Workshop (SLT 2014), 2014-12-07 - 2014-12-10, South Lake Tahoe, Nevada, USA. doi: 10.1109/SLT.2014.7078542.

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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. Context information is treated as prior information to reduce the search space for recognition. It is integrated in the ASR pipeline by continually updating the recognition network. This is achieved by automatically adapting the underlying grammar whenever new situational knowledge becomes available.The context-dependent recognition network is then re-created and substituted for recognition based on these context-dependent grammars. As a result, the recognizer’s search space is constantly being limited to that subset of hypotheses that are deemed plausible in the current situation. Since recognition and adaptation tasks can be easily performed by two separate parallel processes, on-line capabilities of the system are maintained, and response times do not increase as a result of context integration.

Item URL in elib:https://elib.dlr.de/90651/
Document Type:Conference or Workshop Item (Speech)
Title:Context-based recognition network adaptation for improving on-line ASR in Air Traffic Control
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmidt, AnnaUdSUNSPECIFIEDUNSPECIFIED
Oualil, YoussefUdSUNSPECIFIEDUNSPECIFIED
Ohneiser, OliverUNSPECIFIEDhttps://orcid.org/0000-0002-5411-691XUNSPECIFIED
Kleinert, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0002-0782-4147UNSPECIFIED
Schulder, MarcUdSUNSPECIFIEDUNSPECIFIED
Khan, ArifUdSUNSPECIFIEDUNSPECIFIED
Helmke, HartmutUNSPECIFIEDhttps://orcid.org/0000-0002-1939-0200UNSPECIFIED
Date:2014
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/SLT.2014.7078542
Page Range:pp. 2-6
Status:Published
Keywords:on-line ASR, situational context, air traffic control, assistance systems
Event Title:2014 IEEE Spoken Language Technology Workshop (SLT 2014)
Event Location:South Lake Tahoe, Nevada, USA
Event Type:international Conference
Event Start Date:7 December 2014
Event End Date:10 December 2014
Organizer:IEEE Signal Processing Society
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 (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:15 Oct 2014 15:09
Last Modified:24 Apr 2024 19:56

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