qriton/hlm-micro-keyword-v1-speechcommands

HLM-Micro Keyword Spotting v1 - Speech Commands

HLM-Micro Keyword Spotting v1 is a compact polynomial-Hopfield keyword spotter trained on the Google Speech Commands V2 12-class TinyML-style subset.

Results

Classes: yes, no, up, down, left, right, on, off, stop, go, _silence_, _unknown_.

This is a realistic small keyword-spotting result, not a state-of-the-art accuracy claim. The test split is intentionally not claimed here.

Files

Intended Use

• —Research on compact keyword spotting.
• —TinyML and edge-audio experiments.
• —Baseline for adding replayable audit metadata to edge classifiers.

Limitations

• —Metric reported here is validation accuracy, not final held-out test accuracy.
• —Not optimized with the full augmentation/training recipe used by top keyword-spotting systems.
• —Not a wake-word product or production speech interface.