Deep learning internal state index-based search and classification
AssigneeDeepgram, Inc.
InventorsJeff Ward, Adam Sypniewski, Scott Stephenson
Life of this patent
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AssigneeDeepgram, Inc.
InventorsJeff Ward, Adam Sypniewski, Scott Stephenson
Estimating the term…
Systems and methods are disclosed for generating internal state representations of a neural network during processing and using the internal state representations for classification or search. In some embodiments, the internal state representations are generated from the output activation functions of a subset of nodes of the neural network. The internal state representations may be used for classification by training a classification model using internal state representations and corresponding classifications. The internal state representations may be used for search, by producing a search feature from an search input and comparing the search feature with one or more feature representations to find the feature representation with the highest degree of similarity.
A method of layered searching for finding audio to text alignment, the method comprising:
A non-transitory computer storage that stores executable program instructions that, when executed by one or more computing devices, configure the one or more computing devices to perform operations comprising:
Dependencies are inferred from the claim text.