mlsanityData to 14 Oct 2026

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting

arXiv 2601.16316 ↗First posted 22 Jan 2026eess.AS cs.CL cs.SDcited by 0

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Abstract (arXiv)

We introduce an efficient few-shot keyword spotting model for edge devices, EdgeSpot, that pairs an optimized version of a BC-ResNet-based acoustic backbone with a trainable Per-Channel Energy Normalization frontend and lightweight temporal self-attention. Knowledge distillation is utilized during training by employing a self-supervised teacher model, optimized with Sub-center ArcFace loss. This study demonstrates that the EdgeSpot model consistently provides better accuracy at a fixed false-alarm rate (FAR) than strong BC-ResNet baselines. The largest variant, EdgeSpot-4, improves the 10-shot accuracy at 1% FAR from 73.7% to 82.0%, which requires only 29.4M MACs with 128k parameters.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 18 references that are in the map. First posted on arXiv 22 Jan 2026.

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References · 14

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  3. 2019SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitioncited by 1,380
  4. 2021EfficientNetV2: Smaller Models and Faster Trainingcited by 1,135
  5. 2018Speech Commands: A Dataset for Limited-Vocabulary Speech Recognitioncited by 752
  6. 2019Temporal Convolution for Real-time Keyword Spotting on Mobile Devicescited by 49
  7. 2021Broadcasted Residual Learning for Efficient Keyword Spottingcited by 48
  8. 2020MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognitioncited by 36
  9. 2016Trainable Frontend For Robust and Far-Field Keyword Spottingcited by 33
  10. 2021Few-Shot Keyword Spotting in Any Languagecited by 27
  11. 2020Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spottingcited by 15
  12. 2023Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systemscited by 9
2 more
  1. 2022Fully Unsupervised Training of Few-shot Keyword Spottingcited by 5
  2. 2025Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Modelscited by 1

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  1. 2022BiFSMN: Binary Neural Network for Keyword Spotting
  2. 2022Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
  3. 2022BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
  4. 2022Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets
  5. 2026Domain-Incremental Continual Learning for Robust and Efficient Keyword Spotting in Resource Constrained Systems
  6. 2022A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
  7. 2023On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
  8. 2024GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting