DocumentCode :
723328
Title :
An automatic and adaptive phonetic transcriber for the Basque language
Author :
Barroso, Nora ; Lopez-de-Ipina, Karmele ; Calvo, Pilar M.
Author_Institution :
Dept. of Syst. Eng. & Autom., Univ. of the Basque Country (UPV/EHU), Donostia, Spain
fYear :
2015
fDate :
10-12 June 2015
Firstpage :
163
Lastpage :
168
Abstract :
This paper proposes an automatic and adaptive phonetic transcriber (PT) for Basque. In order to develop this transcriber, the sociocultural situation of the Basque Country has to be taken into account. Basque is an minority language that has many dialects, so it shows a wide range of language varieties spread across very small geographical zones. Thus, words can be pronounced in different ways depending of the origin of the speaker, or if she/he is non-native, which is very common due to the sociolinguistic characteristics of the Basque region. In this context, there are phonetic realizations out of transcription standards for Basque, so we present an automatic PT that is able to achieve transcriptions in standard Basque and adapt to real particular realizations. The phonetic transcription of spoken discourse is the foundation on which any system based on voice recognition is built, so this point is crucial not only to enrich the knowledge of a minority language, but also to develop other related speech recognition applications.
Keywords :
natural language processing; speech processing; speech recognition; Basque language; PT; adaptive phonetic transcriber; automatic phonetic transcriber; minority language knowledge; speech recognition application; voice recognition; Adaptive systems; Context; Hidden Markov models; Pragmatics; Speech; Speech recognition; Standards; Cognitive Systems; Computational Intelligence; Phonetic Transcription; Speech Recognition; Under-resourced Languages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on
Conference_Location :
San Sebastian
Print_ISBN :
978-1-4673-7845-1
Type :
conf
DOI :
10.1109/IWOBI.2015.7160161
Filename :
7160161
Link To Document :
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