Acoustic neural network scene detection
AssigneeSnap Inc.
InventorsJinxi Guo, Jia Li, Ning Xu
Life of this patent
Estimating the term…
Abstract
An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can he modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.
Claims20
A method comprising:
- identifying sound recording data on a user device;
- generating, by the user device, an acoustic classification using from the sound recording data using an acoustic classification neural network, the acoustic classification neural network comprising a convolutional neural network layer to generate image values that are weighted by an attention layer that updates a recursive neural network layer;
- and
- storing the acoustic classification on the user device.
A system comprising:
- one or more processors of a machine;
- and
- a memory comprising instructions that, when executed by the one or more processors, cause the machine to perform operations comprising:
- identifying sound recording data;
- generating an acoustic classification using from the sound recording data using an acoustic classification neural network, the acoustic classification neural network comprising a convolutional neural network layer to generate image values that are weighted by an attention layer that updates a recursive neural network layer;
- and
- storing the acoustic classification.
A non-transitory computer readable storage medium comprising instructions that, when executed by one or more processors of a device, cause the device to perform operations comprising:
- identifying sound recording data;
- generating an acoustic classification using from the sound recording data using an acoustic classification neural network, the acoustic classification neural network comprising a convolutional neural network layer to generate image values that are weighted by an attention layer that updates a recursive neural network layer;
- and
- storing the acoustic classification.
Dependencies are inferred from the claim text.