Euskarazko ahoskera ebaluatzeko sistema baten garapena, ASR datu-basearen bidez

The aim of this paper is to explain how to use an ASR database to develop Computer-Assisted Pronunciation Training (CAPT) systems for under resourced languages, to evaluate then how 'Goodness of Pronunciation' (GOP) scores perform in this environment, like when we use a database not specifically designed for pronunciation evaluation. 2 izeneko sistemetan gehien bat. Interes handia sortu dute teknika hauek, bai ikertzaileen artean, baita L2 tutoretzarako teknologia berrien sistemetan lan egiten duten konpainietan eta L2 irakasle eta ikasleengan ere. Sistemaren abantailen artean, ikasleek haien kabuz, haien erritmoan lan egin ahal izatea dago, ikasgelan ikasitakoaren osagarria eta hobekuntza moduan. 90eko hamarkadan garatutako lehenengo puntuaketa metodoak berba eta esaldi mailetan oinarritzen ziren (Hamada et al., 1993; Hiller et al., 1993; Rogers et al., 1994). Hamarkadaren bukaeran errore fonemikoak saihesten irakasteko diseinatutako sistemak garatu ziren (Kawai and Hirose, 1997; Kim et al., 1997; Ronen et al., 1997). Bertan, hiztun ez-natiboen datu-baseak erabili ziren. Garai hartan deskribatu zen ASR-ren erabilera ere, HMMekin batera, esaldi bateko fonema bakoitza puntuatzeko (Eskenazi, 1996). Azken urteotan, CAPT sistemen garapena multimedia teknologiak bateratzean enfokatu da, erabiltzaileari erantzun osoagoa eman ahal izateko. Giro

[1]  Steve J. Young,et al.  Phone-level pronunciation scoring and assessment for interactive language learning , 2000, Speech Commun..

[2]  Grazyna Demenko,et al.  Applying speech and language technology to foreign language education , 2009, 2009 International Multiconference on Computer Science and Information Technology.

[3]  Grazyna Demenko,et al.  The EURONOUNCE corpus of non-native Polish for ASR-based pronunciation tutoring system , 2009, SLaTE.

[4]  Yoon Kim,et al.  Automatic pronunciation scoring of specific phone segments for language instruction , 1997, EUROSPEECH.

[5]  Ryohei Nakatsu,et al.  Automatic evaluation of English pronunciation based on speech recognition techniques , 1989, EUROSPEECH.

[6]  Maxine Eskénazi,et al.  Detection of foreign speakers' pronunciation errors for second language training-preliminary results , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[7]  Catherine L. Rogers,et al.  Intelligibility training for foreign‐accented speech: A preliminary study , 1994 .

[8]  Mervyn A. Jack,et al.  SPELL: An automated system for computer-aided pronunciation teaching , 1993, Speech Commun..

[9]  Jon Sánchez,et al.  The basque speech_dat (II) database: a description and first test recognition results , 2003, INTERSPEECH.

[10]  Vassilios Digalakis,et al.  Combination of machine scores for automatic grading of pronunciation quality , 2000, Speech Commun..

[11]  Yik-Cheung Tam,et al.  PLASER: Pronunciation Learning via Automatic Speech Recognition , 2003, HLT-NAACL 2003.

[12]  Horacio Franco,et al.  Automatic detection of mispronunciation for language instruction , 1997, EUROSPEECH.

[13]  Oliver Jokisch,et al.  The use of CALL in acquiring foreign language pronunciation and prosody - General specifications for Euronounce Project , 2009 .

[14]  Keikichi Hirose,et al.  A CALL system using speech recognition to train the pronunciation of Japanese long vowels, the mora nasal and mora obstruents , 1997, EUROSPEECH.