Papers › Spoken Language Understanding on the Edge
Spoken Language Understanding on the Edge
Alaa Saade, Alice Coucke, Alexandre Caulier, Joseph Dureau, Adrien Ball, Théodore Bluche, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet
We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications. Our contributions are twofold. First, we outline the design of an embedded, private-by-design SLU system and show that it has performance on par with cloud-based commercial solutions. Second, we release the datasets used in our experiments in the interest of reproducibility and in the hope that they can prove useful to the SLU community.
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Code
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Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Spoken Language Understanding | Snips-SmartLights | Snips | Accuracy (%) | 84.2 | #5 of 7 | Archive leaderboard | report |
| Spoken Language Understanding | Snips-SmartLights | Accuracy (%) | 79.3 | #6 of 7 | Archive leaderboard | report | |
| Spoken Language Understanding | Snips-SmartSpeaker | Snips | Accuracy-EN (%) | 68.7 | #4 of 5 | Archive leaderboard | report |
| Spoken Language Understanding | Snips-SmartSpeaker | Snips | Accuracy-FR (%) | 75.1 | #4 of 5 | Archive leaderboard | report |
| Spoken Language Understanding | Snips-SmartSpeaker | Accuracy-EN (%) | 47.8 | #5 of 5 | Archive leaderboard | report | |
| Spoken Language Understanding | Snips-SmartSpeaker | Accuracy-FR (%) | 42.3 | #5 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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