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Spoken Language Understanding On Fluent

Metrics

Accuracy (%)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Finstreder (Conformer + AMT, character-based)	99.8	Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
UniverSLU	99.8	UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions	-
Finstreder (Quartznet + AMT)	99.7	Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
Wav2Vec2.0-Classifier	99.7	Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding	-
textual-kd-slu	99.7	Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding
E2E SLP two-step	99.7	Speech-language Pre-training for End-to-end Spoken Language Understanding	-
Wav2vec 2.0 SSL	99.6	Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?	-
Finstreder (Conformer)	99.5	Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
AT-AT	99.5	Exploring Transfer Learning For End-to-End Spoken Language Understanding	-
BERT, AC Pretraining	99.4	End-to-End Spoken Language Understanding for Generalized Voice Assistants	-
3D-CNN+LSTM+CE	99.3	Sequential End-to-End Intent and Slot Label Classification and Localization	-
Finstreder (Quartznet)	99.2	Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
Reptile	99.2	Improving End-to-End Speech-to-Intent Classification with Reptile	-
FANS	99.0	FANS: Fusing ASR and NLU for on-device SLU	-
Pooling classifier pre-trained using force-aligned phoneme and word labels on LibriSpeech	98.8	Speech Model Pre-training for End-to-End Spoken Language Understanding
Amazon Alexa	98.7	Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
pGSLM+	98.2	SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks	-

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Spoken Language Understanding On Fluent | SOTA | HyperAI