In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers

@article{Nair2021InfilterCF,
  title={In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers},
  author={Abhishek Nair and Shantanu Chakrabartty and Chetan Singh Thakur},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.06171}
}
We present a novel in-filter computing framework that can be used for designing ultra-light acoustic classifiers for use in smart internet-of-things (IoTs). Unlike a conventional acoustic pattern recognizer, where the feature extraction and classification are designed independently, the proposed architecture integrates the convolution and nonlinear filtering operations directly into the kernels of a Support Vector Machine (SVM). The result of this integration is a template-based SVM whose… Expand

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