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SOTA
Intent Classification
Intent Classification On Slurp
Intent Classification On Slurp
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy (%)
Paper Title
TDT 0-8
90.07
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
Partially Fine-tuned HuBERT
87.51
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding
Multi-SLURP
78.33
SLURP: A Spoken Language Understanding Resource Package
Finstreder (Conformer)
53.11
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
Finstreder (Quartznet)
43.15
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
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Intent Classification On Slurp | SOTA | HyperAI