Small-Footprint Keyword Spotting

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Efficient keyword spotting using dilated convolutions and gating
  19 Nov 2018 5 repositories listed
  We explore the application of end-to-end stateless temporal modeling to small-footprint keyword spotting as opposed to recurrent networks that model long-term temporal dependencies using internal states.
• Deep Residual Learning for Small-Footprint Keyword Spotting
  28 Oct 2017 4 repositories listed Syntology ran 1 of 14 samples · 13 unverified
  We explore the application of deep residual learning and dilated convolutions to the keyword spotting task, using the recently-released Google Speech Commands Dataset as our benchmark.
• Attention-based End-to-End Models for Small-Footprint Keyword Spotting
  29 Mar 2018 3 repositories listed
  In this paper, we propose an attention-based end-to-end neural approach for small-footprint keyword spotting (KWS), which aims to simplify the pipelines of building a production-quality KWS system.
• Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
  12 Jun 2025 1 repository listed
  Small-Footprint Keyword Spotting (SF-KWS) has gained popularity in today's landscape of smart voice-activated devices, smartphones, and Internet of Things (IoT) applications.
• Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting
  7 May 2021 1 repository listed
  The introduction of the Google Speech Commands dataset accelerated research and resulted in a variety of new deep learning approaches that address keyword spotting tasks.
• The NPU System for the 2020 Personalized Voice Trigger Challenge
  26 Feb 2021 1 repository listed
  This paper describes the system developed by the NPU team for the 2020 personalized voice trigger challenge.
• Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
  20 Oct 2020 1 repository listed
  Based on the purposed model, we replace standard temporal convolution layers with MTConvs that can be trained for better performance.
• Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting
  1 Aug 2020 1 repository listed
  In this paper, we propose neural network models based on the neural ordinary differential equation (NODE) for small-footprint keyword spotting (KWS).
• Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions
  5 Nov 2019 1 repository listed
  Keyword Spotting (KWS) enables speech-based user interaction on smart devices.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.