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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

2018-10-30Spoken Language Understanding
PaperPDFCodeCode

Abstract

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.

Results

TaskDatasetMetricValueModel
DialogueSnips-SmartSpeakerAccuracy-EN (%)68.7Snips
DialogueSnips-SmartSpeakerAccuracy-FR (%)75.1Snips
DialogueSnips-SmartSpeakerAccuracy-EN (%)47.8Google
DialogueSnips-SmartSpeakerAccuracy-FR (%)42.3Google
DialogueSnips-SmartLightsAccuracy (%)84.2Snips
DialogueSnips-SmartLightsAccuracy (%)79.3Google
Spoken Language UnderstandingSnips-SmartSpeakerAccuracy-EN (%)68.7Snips
Spoken Language UnderstandingSnips-SmartSpeakerAccuracy-FR (%)75.1Snips
Spoken Language UnderstandingSnips-SmartSpeakerAccuracy-EN (%)47.8Google
Spoken Language UnderstandingSnips-SmartSpeakerAccuracy-FR (%)42.3Google
Spoken Language UnderstandingSnips-SmartLightsAccuracy (%)84.2Snips
Spoken Language UnderstandingSnips-SmartLightsAccuracy (%)79.3Google
Dialogue UnderstandingSnips-SmartSpeakerAccuracy-EN (%)68.7Snips
Dialogue UnderstandingSnips-SmartSpeakerAccuracy-FR (%)75.1Snips
Dialogue UnderstandingSnips-SmartSpeakerAccuracy-EN (%)47.8Google
Dialogue UnderstandingSnips-SmartSpeakerAccuracy-FR (%)42.3Google
Dialogue UnderstandingSnips-SmartLightsAccuracy (%)84.2Snips
Dialogue UnderstandingSnips-SmartLightsAccuracy (%)79.3Google

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