Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 308340 14 pages doi 2009 308340 Research Article Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers Santiago Omar Caballero Morales and Stephen J. Cox Speech Language and Music Group School of Computing Sciences University of East Anglia Norwich NR4 7TJ UK Correspondence should be addressed to Santiago Omar Caballero Morales Received 3 November 2008 Revised 27 January 2009 Accepted 24 March 2009 Recommended by Juan I. Godino-Llorente Dysarthria is a motor speech disorder characterized by weakness paralysis or poor coordination of the muscles responsible for speech. Although automatic speech recognition ASR systems have been developed for disordered speech factors such as low intelligibility and limited phonemic repertoire decrease speech recognition accuracy making conventional speaker adaptation algorithms perform poorly on dysarthric speakers. In this work rather than adapting the acoustic models we model the errors made by the speaker and attempt to correct them. For this task two techniques have been developed 1 a set of metamodels that incorporate a model of the speaker s phonetic confusion matrix into the ASR process 2 a cascade of weighted finite-state transducers at the confusion matrix word and language levels. Both techniques attempt to correct the errors made at the phonetic level and make use of a language model to find the best estimate of the correct word sequence. Our experiments show that both techniques outperform standard adaptation techniques. Copyright 2009 S. O. Caballero Morales and S. J. Cox. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Dysarthria is a motor speech disorder that is often associated with