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SOTA
Spoken Language Understanding
Spoken Language Understanding On Fluent
Spoken Language Understanding On Fluent
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy (%)
Paper Title
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