CONF lovitt:ICSLP:2007/IDIAP On Confusions in a Phoneme Recognizer Lovitt, Andrew Pinto, Joel Praveen Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/papers/2007/lovitt-ICSLP-2007.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/lovitt:rr07-10 Related documents 2007 IDIAP-RR 07-10 In this paper, we analyze the confusions patterns at three places in the hybrid phoneme recognition system. The confusions are analyzed at the pronunciation, the posterior probability, and the phoneme recognizer levels. The confusions show significant structure that is similar at all levels. Some confusions also correlate with human psychoacoustic experiments in white masking noise. These structures imply that not all errors should be counted equally and that some phoneme distinctions are arbitrary. Understanding these confusion patterns can improve the performance of a recognizer by eliminating problematic phoneme distinctions. These principles are applied to a phoneme recognition system and the results show a marked improvement in the phone error rate. Confusion pattern analysis leads to a better way of choosing phoneme sets for recognition. REPORT lovitt:rr07-10/IDIAP On Confusions in a Phoneme Recognizer Lovitt, Andrew Pinto, Joel Praveen Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/reports/2007/lovitt-idiap-rr-07-10.pdf PUBLIC Idiap-RR-10-2007 2007 IDIAP Submitted for publication In this paper, we analyze the confusions patterns at three places in the hybrid phoneme recognition system. The confusions are analyzed at the pronunciation, the posterior probability, and the phoneme recognizer levels. The confusions show significant structure that is similar at all levels. Some confusions also correlate with human psychoacoustic experiments in white masking noise. These structures imply that not all errors should be counted equally and that some phoneme distinctions are arbitrary. Understanding these confusion patterns can improve the performance of a recognizer by eliminating problematic phoneme distinctions. These principles are applied to a phoneme recognition system and the results show a marked improvement in the phone error rate. Confusion pattern analysis leads to a better way of choosing phoneme sets for recognition.