Patent ID: 9484022
Filing Date: 2016-11-01
CPC Classification: G06F,G06N,G10L

Claim Text:
1. A method comprising: receiving a digital representation of speech; generating a plurality of feature vectors that each model a different portion of an audio waveform from the digital representation of speech during a different period of time, the plurality of feature vectors including a first feature vector and subsequent feature vectors; generating a first posterior probability vector for the first feature vector using a first neural network, the first posterior probability vector comprising one score for each key word or key phrase which the first neural network is trained to identify, wherein the first neural network is trained to identify one or more key words or one or more key phrases; determining whether one of the scores in the first posterior probability vector satisfies a first threshold value using a first posterior handling module; and in response to determining that one of the scores in the first posterior probability vector satisfies the first threshold value and for each of the feature vectors: