Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: In-filter Computing For Designing Ultra-light Acoustic Pattern
  Recognizers   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 memory and computational footprint
(training and inference) is light enough to be implemented on an FPGA-based IoT
platform. While the proposed in-filter computing framework is general enough,
in this paper, we demonstrate this concept using a Cascade of Asymmetric
Resonator with Inner Hair Cells (CAR-IHC) based acoustic feature extraction
algorithm. The complete system has been optimized using time-multiplexing and
parallel-pipeline techniques for a Xilinx Spartan 7 series Field Programmable
Gate Array (FPGA). We show that the system can achieve robust classification
performance on benchmark sound recognition tasks using only ~ 1.5k Look-Up
Tables (LUTs) and ~ 2.8k Flip-Flops (FFs), a significant improvement over other
approaches.

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The categories of this paper are: q-bio
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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: adap-org
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The categories of this paper are: supr-con
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The categories of this paper are: nucl-ex
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The categories of this paper are: stat
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The categories of this paper are: math
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The categories of this paper are: mtrl-th
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The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-ex