Automatic language recognition using high-order HMMs
نویسندگان
چکیده
We present automatic language recognition results using high-order hidden Markov models (HMM) and the recently developed ORder rEDucing (ORED) and Fast Incremental Training (FIT) HMM algorithms. We demonstrate the efficiency and accuracy of pseudo-phoneme context and duration modelling mixed-order HMMs as well as fixed order HMMs over conventional approaches. For a two language problem, we show that a third-order FIT trained HMM gives a test set accuracy of 97.4% compared to 89.7% for a conventionally trained third-order HMM. A first-order model achieved 82.1% accuracy on the same problem.
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تاریخ انتشار 1998