Pronunciation Variants and ASR of Colloquial Speech: A Case Study on Czech

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F18%3A10379673" target="_blank" >RIV/00216208:11210/18:10379673 - isvavai.cz</a>
Result on the web
<a href="http://www.lrec-conf.org/proceedings/lrec2018/summaries/833.html" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2018/summaries/833.html</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Pronunciation Variants and ASR of Colloquial Speech: A Case Study on Czech
Original language description
A standard ASR system is built using three types of mutually related language resources: apart from speech recordings and orthographic transcripts, a pronunciation component maps tokens in the transcripts to their phonetic representations. Its implementation is either lexicon-based (whether by way of simple lookup or of a stochastic grapheme-to-phoneme converter trained on the source lexicon) or rule-based, or a hybrid thereof. Whichever approach ends up being taken (as determined primarily by the writing system of the language in question), little attention is usually paid to pronunciation variants stemming from connected speech processes, hypoarticulation, and other phenomena typical for colloquial speech, mostly because the resource is seldom directly empirically derived. This paper presents a case study on the automatic recognition of colloquial Czech, using a pronunciation dictionary extracted from the ORTOFON corpus of informal spontaneous Czech, which is manually phonetically transcribed. The performance of the dictionary is compared to a standard rule-based pronunciation component, as evaluated against a subset of the ORTOFON corpus (multiple speakers recorded on a single compact device) and the Vystadial telephone speech corpus, for which prior benchmarks are available.
Czech name
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Czech description
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Project
<a href="/en/project/LM2015044" target="_blank" >LM2015044: Czech National Corpus</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
ISBN
979-10-95546-00-9
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
2704-2709
Publisher name
European Language Resources Association (ELRA)
Place of publication
Miyazaki
Event location
Miyazaki
Event date
May 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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