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Improving the performance of a Dutch CSR by modeling within-word and cross-word pronunciation variation.

, , and . Speech Commun., 29 (2-4): 193-207 (1999)

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A bottom-up method for obtaining information about pronunciation variation., , and . INTERSPEECH, page 274-277. ISCA, (2000)Comparing the performance of two CSRs: how to determine the significance level of the differences., , and . INTERSPEECH, page 2091-2094. ISCA, (2001)A data-driven method for modeling pronunciation variation., , and . Speech Commun., 40 (4): 517-534 (2003)Goal-directed ASR in a multimedia indexing and searching environment (MUMIS)., , and . INTERSPEECH, page 1993-1996. ISCA, (2002)Automatic transcription of football commentaries in the MUMIS project., , , , , and . INTERSPEECH, page 1853-1856. ISCA, (2003)Comparing the recognition performance of CSRs: in search of an adequate metric and statistical significance test., , and . INTERSPEECH, page 740-743. ISCA, (2000)Pronunciation variation in ASR: which variation to model?, , and . INTERSPEECH, page 488-491. ISCA, (2000)Facial and vocal emotion expression of a personal computer assistant to engage, educate and motivate children., , , , and . ACII, page 1-7. IEEE Computer Society, (2009)The selection of pronunciation variants: comparing the performance of man and machine., , , and . ICSLP, ISCA, (1998)Modeling pronunciation variation for a dutch CSR: testing three methods., , and . ICSLP, ISCA, (1998)