Patent ID: 9626965
Date: 2017-04-18
CPC Classifications: G06F,G06Q,G10L

Claim:
1. In a computer implemented method for determining an empirically derived acoustic confusability measure, an iterative method for development of a probability model family Π={p(d|t)}, comprising: providing a recognized corpus; establishing a termination condition which depends on any of: defining a family of decoding costs; setting an iteration count to 0; setting a phoneme pair count to 0; for each entry in the recognized corpus, performing the following steps: for each transcription, computing a confidence score which is the sum of a phoneme pair value over all transcriptions paired with an utterance; estimating said probability model family; if the iteration count exceeds 0, testing said termination condition; if said termination condition is satisfied, returning a desired probability model family and stopping; if said termination condition is not satisfied, defining a new family of decoding costs and therefrom a new probability model family; and incrementing said iteration count and repeating.