Andreas Søeborg Kirkedal

Also published as: Andreas Søeborg Kirkedal


2018

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Acoustic Word Disambiguation with Phonogical Features in Danish ASR
Andreas Søeborg Kirkedal
Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology

Phonological features can indicate word class and we can use word class information to disambiguate both homophones and homographs in automatic speech recognition (ASR). We show Danish stød can be predicted from speech and used to improve ASR. We discover which acoustic features contain the signal of stød, how to use these features to predict stød and how we can make use of stød and stødpredictive acoustic features to improve overall ASR accuracy and decoding speed. In the process, we discover acoustic features that are novel to the phonetic characterisation of stød.

2015

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Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows
Julián Zapata | Andreas Søeborg Kirkedal
Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)

2013

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Analysis of Phonetic Transcription for Danish Automatic Speech Recognition
Andreas Søeborg Kirkedal
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)

2012

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Tree-based Hybrid Machine Translation
Andreas Søeborg Kirkedal
Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)