Patent ID: 10297247

Abstract:
Various implementations disclosed herein include a phonotactic post-processor configured to rescore the N-best phoneme candidates output by a primary ensemble phoneme neural network using a priori phonotactic information. In various implementations, one of the scored set of the N-best phoneme candidates is selected as a preferred estimate for a one-phoneme output decision by the phonotactic post-processor. In some implementations, the one-phoneme output decision is an estimate of the most likely detected and recognized phoneme in a frame based on a function of posterior probabilities generated by an ensemble phoneme neural network, as well as phonotactic information and statistical performance characterizations incorporated by the phonotactic post-processor. More specifically, in various implementations, a phonotactic post-processor as described herein utilizes a priori known patterns of phonotactic structure representative of higher-level linguistic structure, instead of configuring the system to learn to recognize the higher-level linguistic structure a posteriori.