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Pronunciation analysis by acoustic-to-articulatory feature inversion
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
2012 (English)In: Proceedings of the International Symposium on Automatic detection of Errors in Pronunciation Training / [ed] Engwall, O., Stockholm, 2012, 79-84 p.Conference paper (Refereed)
Abstract [en]

Second  language  learners  may  require  assistancecorrecting  their  articulation  of  unfamiliar  phonemes  in  orderto  reach  the  target  pronunciation.  If,  e.g.,  a  talking  head  isto  provide  the  learner  with  feedback  on  how  to  change  thearticulation,  a  required  first  step  is  to  be  able  to  analyze  thelearner’s  articulation.  This  paper  describes  how  a  specializedrestricted  acoustic-to-articulatory  inversion  procedure  may  beused  for  this  analysis.  The  inversion  is  trained  on  simultane-ously  recorded  acoustic-articulatory  data  of  one  native  speakerof  Swedish,  and  four  different  experiments  investigate  how  itperforms  for  the  original  speaker,  using  acoustic  input;  for  theoriginal speaker, using acoustic input and visual information; forfour other speakers; and for correct and mispronounced phonesuttered by two non-native speakers

Place, publisher, year, edition, pages
Stockholm, 2012. 79-84 p.
National Category
Computer Science Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-109372OAI: diva2:581742
the International Symposium on Automatic detection of Errors in Pronunciation Training

tmh_import_13_01_02, tmh_id_3750 QC 20130523

Available from: 2013-01-02 Created: 2013-01-02 Last updated: 2013-05-23Bibliographically approved

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