| 摘要 |
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a deep neural network. One of the methods includes generating a plurality of feature vectors that each model a different portion of an audio waveform, generating a first posterior probability vector for a first feature vector using a first neural network, determining whether one of the scores in the first posterior probability vector satisfies a first threshold value, generating a second posterior probability vector for each subsequent feature vector using a second neural network, wherein the second neural network is trained to identify the same key words and key phrases and includes more inner layer nodes than the first neural network, and determining whether one of the scores in the second posterior probability vector satisfies a second threshold value. |
| 主权项 |
1. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
training a first neural network to identify a set of features using a first training set, the first neural network comprising a first quantity of nodes;training a second neural network to identify the set of features using a second training set, the second neural network comprising a second quantity of nodes, greater than the first quantity of nodes; andproviding the first neural network, and the second neural network to a user device that uses both the first neural network and the second neural network to analyze a data set and determine whether the data set comprises a digital representation of a feature from the set of features. |
