Pritzen, Julia; Gref, Michael; Zühlke, Dietlind; Schmidt, Christoph:
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition
In: 2022 Language Resources and Evaluation Conference, LREC 2022 / European Language Resources Association (ELRA) (Eds.). - 13th International Conference on Language Resources and Evaluation Conference, LREC 2022; Marseille, France; 20.06.-25.05.2022 - Paris: ELRA, 2022, pp. 3242 - 3249
2022Essay (Conference) in Conference proceedings
Faculty of Computer Science and Engineering Science » Institut für Data Science, Engineering, and Analytics
Related: 1 publication(s)
Title in English:
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition
Author:
Pritzen, Julia
SCOPUS
57224778905
;Gref, Michael
SCOPUS
57200080011
;Zühlke, DietlindTH Köln
DHSB-ID
THK0003500
SCOPUS
57224779786
SCOPUS
59412934900
Other
person connected with TH Köln
;Schmidt, Christoph
SCOPUS
56784911000
Year of publication:
2022
Scopus ID
85144394243
Language of text:
English
Appears in
2022 Language Resources and Evaluation Conference, LREC 2022
Title (abbreviated):
Lang. Resour. Eval. Conf., LREC
Conference
13th International Conference on Language Resources and Evaluation Conference, LREC 2022; Marseille, France; 20.06.-25.05.2022
Editor:
European Language Resources Association (ELRA)
Place of publication:
Paris
Publisher:
ELRA
Year of publication:
2022
in:
pp. 3242 - 3249
Extent:
7392 Seiten
ISBN
979-10-95546-72-6
WWW URL:
http://www.lrec-conf.org/proceedings/lrec2022/index.html
Language of text:
English
Type of resource:
Text
Access Rights:
open access
Practice Partner:
No
Category:
Research
Part of statistic:
Not part of statistic
Keyword, Topic:
Anglicisms ; Automatic speech recognition ; grapheme-to-phoneme models ; multitask learning ; sequence-to-sequence models
Type of resource:
Text
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic