Spoken Language Understanding on Snips-SmartSpeaker

Metric: Accuracy-FR (%) (higher is better)

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#	Model↕	Accuracy-FR (%)▼	Extra Data	Paper	Date↕	Code
1	Finstreder (Conformer, character-based)	86.5	No	Finstreder: Simple and fast Spoken Language Unde...	2022-06-29	Code
2	Finstreder (Conformer)	78.3	No	Finstreder: Simple and fast Spoken Language Unde...	2022-06-29	Code
3	Finstreder (Quartznet)	77.8	No	Finstreder: Simple and fast Spoken Language Unde...	2022-06-29	Code
4	Snips	75.1	No	Spoken Language Understanding on the Edge	2018-10-30	Code
5	Google	42.3	No	Spoken Language Understanding on the Edge	2018-10-30	Code

#1Finstreder (Conformer, character-based)SOTA
86.5
Accuracy-FR (%)· 2022-06-29
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models Code
#2Finstreder (Conformer)
78.3
Accuracy-FR (%)· 2022-06-29
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models Code
#3Finstreder (Quartznet)
77.8
Accuracy-FR (%)· 2022-06-29
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models Code
#4SnipsSOTA
75.1
Accuracy-FR (%)· 2018-10-30
Spoken Language Understanding on the Edge Code
#5Google
42.3
Accuracy-FR (%)· 2018-10-30
Spoken Language Understanding on the Edge Code