@inproceedings{kirkedal-2018-acoustic,
title = "Acoustic Word Disambiguation with Phonogical Features in {D}anish {ASR}",
author = "Kirkedal, Andreas S{\o}eborg",
editor = "Kuebler, Sandra and
Nicolai, Garrett",
booktitle = "Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = oct,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5803",
doi = "10.18653/v1/W18-5803",
pages = "21--31",
abstract = "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 st{\o}d can be predicted from speech and used to improve ASR. We discover which acoustic features contain the signal of st{\o}d, how to use these features to predict st{\o}d and how we can make use of st{\o}d and st{\o}dpredictive 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 st{\o}d.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kirkedal-2018-acoustic">
<titleInfo>
<title>Acoustic Word Disambiguation with Phonogical Features in Danish ASR</title>
</titleInfo>
<name type="personal">
<namePart type="given">Andreas</namePart>
<namePart type="given">Søeborg</namePart>
<namePart type="family">Kirkedal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Sandra</namePart>
<namePart type="family">Kuebler</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Garrett</namePart>
<namePart type="family">Nicolai</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Brussels, Belgium</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>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.</abstract>
<identifier type="citekey">kirkedal-2018-acoustic</identifier>
<identifier type="doi">10.18653/v1/W18-5803</identifier>
<location>
<url>https://aclanthology.org/W18-5803</url>
</location>
<part>
<date>2018-10</date>
<extent unit="page">
<start>21</start>
<end>31</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Acoustic Word Disambiguation with Phonogical Features in Danish ASR
%A Kirkedal, Andreas Søeborg
%Y Kuebler, Sandra
%Y Nicolai, Garrett
%S Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F kirkedal-2018-acoustic
%X 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.
%R 10.18653/v1/W18-5803
%U https://aclanthology.org/W18-5803
%U https://doi.org/10.18653/v1/W18-5803
%P 21-31
Markdown (Informal)
[Acoustic Word Disambiguation with Phonogical Features in Danish ASR](https://aclanthology.org/W18-5803) (Kirkedal, EMNLP 2018)
ACL