System and method for classifying hybrid speech recognition results with neural networks

摘要

A method for ranking candidate speech recognition results includes generating, with a controller, a plurality of feature vectors for the candidate speech recognition results, each feature vector including trigger pair features and / or a confidence score and / or word level features. The method further includes providing the plurality of feature vectors as inputs to a neural network, generating a plurality of ranking scores corresponding to the plurality of feature vectors for the plurality of candidate speech recognition results based on an output layer of the neural network and operating the automated system using the candidate speech recognition result in the plurality of candidate speech recognition results, that corresponds to a highest rating score in the multiple rating scores, as input.