Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device
cs.SD, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Comments: Interspeech 2026, 5 pages, 2 figures
Journal ref: Proc. Interspeech 2026, 4077-4081
DOI: 10.21437/Interspeech.2026-1343
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Hello Edge: Keyword Spotting on Microcontrollers
- MCUNet: Tiny Deep Learning on IoT Devices
- Short-Term Memory Convolutions
- BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
- Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
- CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
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