Truncation error and dynamics in very low latency phonetic recognition
نویسنده
چکیده
The truncation error for a two-pass decoder is analyzed in a problem of phonetic speech recognition for very demanding latency constraints (look-ahead length < 100ms) and for applications where successive refinements of the hypotheses are not allowed. This is done empirically in the framework of hybrid MLP/HMM models. The ability of recurrent MLPs, as a posteriori probability estimators, to model time variations is also considered, and its interaction with the dynamic modeling in the decoding phase is shown in the simulations.
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تاریخ انتشار 2003