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MALORCA: Machine Learning meets Automatic Speech Recognition in ATC

Rataj, Jürgen (2018) MALORCA: Machine Learning meets Automatic Speech Recognition in ATC. WAC-2018 WORKSHOP: DATA DRIVEN ATM: GOING DIGITAL, 2018-03-06 - 2018-03-08, Madrid, Spanien.

Full text not available from this repository.

Abstract

MALORCA developed a low cost mechanism to configure a speech recognizer to a specific airport Radar data improves unsupervised learning considerably Demonstration airport are Vienna and Prague An initial transcribed data set of 4 hours was used Recognition was increased by adding 21 hours of untranscribed data to 92% from 80% TRL 1 and 2 reached with the developed system

Item URL in elib:https://elib.dlr.de/119520/
Document Type:Conference or Workshop Item (Speech)
Title:MALORCA: Machine Learning meets Automatic Speech Recognition in ATC
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rataj, JürgenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:8 March 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:assistance based speech recognizer, learning mechanisms, AcListant, Controller assistance Systems, speech recognition
Event Title:WAC-2018 WORKSHOP: DATA DRIVEN ATM: GOING DIGITAL
Event Location:Madrid, Spanien
Event Type:Workshop
Event Start Date:6 March 2018
Event End Date:8 March 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - Managementaufgaben Luftfahrt
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Diederich, Kerstin
Deposited On:25 Sep 2018 14:39
Last Modified:24 Apr 2024 20:23

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