Systems and Methods for Generating Labeled Data to Facilitate Configuration of Network Microphone Devices
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United States of America Patent
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Issued Date -
Jul 11, 2024
app pub date -
Jan 16, 2024
filing date -
Sep 26, 2019
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Abstract
Systems and methods for generating training data are described herein. Pieces of metadata captured by a plurality of networked sensor systems can be captured, where each piece of metadata is associated with a specific set of sensor data captured by one of the plurality of networked sensor systems and includes a set of characteristics for the specific set of captured sensor data. A probabilistic model can be generated based on the received metadata and simulations can be performed based upon a training corpus by generating multiple scenarios, and, for each scenario, a scenario specific version of a particular annotated sample is generated by performing a simulation using the particular annotated sample. The scenario specific versions of annotated samples from the training corpus can be stored as a training data set on the at least one network device.
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