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In this paper, we first described the automatic Spoken Chinese Test (SCT). With a large amount of native and non-native data collected for SCT, different training strategies for acoustic modeling were investigated. Evaluations were performed on native as well as non-native datasets. We discovered that directly combining native and non-native data to train acoustic models did not work well, and the...
Letter units, or graphemes, have been reported in the literature as a surprisingly effective substitute to the more traditional phoneme units, at least in languages that enjoy a strong correspondence between pronunciation and orthography. For English however, where letter symbols have less acoustic consistency, previously reported results fell short of systems using highly-tuned pronunciation lexicons...
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