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Morpheme-Based Modeling of Pronunciation Variation for Large Vocabulary Continuous Speech Recognition in Korean.

, and . IEICE Trans. Inf. Syst., 90-D (7): 1063-1072 (2007)

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USC: description of the SNAP system used for MUC-5., , , , , , , and . MUC, page 305-319. ACL, (1993)Multilingual Analysis Of Intelligibility Classification Using English, Korean, And Tamil Dysarthric Speech Datasets., , and . O-COCOSDA 2022, page 1-6. IEEE, (2022)A corpus-based analysis of Korean segments produced by Japanese learners., , and . SLaTE, page 189-192. ISCA, (2013)Linguistic Factors Affecting Evaluation of L2 Korean Speech Proficiency., and . SLaTE, page 53-58. ISCA, (2017)A Study on the Phonetic Inventory Development of Children with Cochlear Implants for 5 Years after Implantation., , and . INTERSPEECH, page 3628-3632. ISCA, (2022)Effects of Korean learners' consonant cluster reduction strategies on English speech recognition performance., , and . INTERSPEECH, page 1858-1861. ISCA, (2010)Automatic Severity Classification of Korean Dysarthric Speech Using Phoneme-Level Pronunciation Features., , and . Interspeech, page 4838-4842. ISCA, (2021)Korean Children's Spoken English Corpus and an Analysis of its Pronunciation Variability., , and . LREC, page 2362-2365. European Language Resources Association (ELRA), (2012)Pronunciation modeling of loanwords for Korean ASR using phonological knowledge and syllable-based segmentation., , and . APSIPA, page 430-435. IEEE, (2015)One-Pass Semi-Dynamic Network Decoding Using a Subnetwork Caching Model for Large Vocabulary Continuous Speech Recongnition., and . IEICE Trans. Inf. Syst., 87-D (5): 1164-1174 (2004)