SOTAVerified

Spoken Language Understanding

Papers

Showing 176–200 of 550 papers

TitleStatusHype
Deliberation Model for On-Device Spoken Language Understanding—0
End-to-end model for named entity recognition from speech without paired training data—0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding—0
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language ModelsCode1
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems—0
Knowledge Augmented BERT Mutual Network in Multi-turn Spoken Dialogues—0
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Improving End-to-End Models for Set Prediction in Spoken Language Understanding—0
Dialog Intent Induction via Density-based Deep Clustering Ensemble—0
Text is no more Enough! A Benchmark for Profile-based Spoken Language UnderstandingCode1
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
On the Use of External Data for Spoken Named Entity RecognitionCode0
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding—0
Training data reduction for multilingual Spoken Language Understanding systems—0
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnetCode1
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?—0
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural SpeechCode1
Lattention: Lattice-attention in ASR rescoring—0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems—0
Inducing Global and Local Knowledge Attention in Multi-turn Dialog Understanding—0
On Spoken Language Understanding Systems for Low Resourced Languages—0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding—0
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study—0
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language UnderstandingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer + AMT, character-based)Accuracy (%)99.8—Unverified
2UniverSLUAccuracy (%)99.8—Unverified
3E2E SLP two-stepAccuracy (%)99.7—Unverified
4textual-kd-sluAccuracy (%)99.7—Unverified
5Wav2Vec2.0-ClassifierAccuracy (%)99.7—Unverified
6Finstreder (Quartznet + AMT)Accuracy (%)99.7—Unverified
7Wav2vec 2.0 SSLAccuracy (%)99.6—Unverified
8Finstreder (Conformer)Accuracy (%)99.5—Unverified
9AT-ATAccuracy (%)99.5—Unverified
10BERT, AC PretrainingAccuracy (%)99.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer, character-based)Accuracy (%)89—Unverified
2Finstreder (Conformer)Accuracy (%)88—Unverified
3AT-ATAccuracy (%)84.9—Unverified
4Finstreder (Quartznet)Accuracy (%)84.8—Unverified
5SnipsAccuracy (%)84.2—Unverified
6GoogleAccuracy (%)79.3—Unverified
7Real + syntheticAccuracy (%)71.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer, character-based)Accuracy-EN (%)87.9—Unverified
2Finstreder (Conformer)Accuracy-EN (%)80.4—Unverified
3Finstreder (Quartznet)Accuracy-EN (%)77.6—Unverified
4SnipsAccuracy-EN (%)68.7—Unverified
5GoogleAccuracy-EN (%)47.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ALBERTF1 score77.1—Unverified
2SpeechBERTF1 score71.75—Unverified
3QANet + GANF1 score63.11—Unverified
4BaselineF1 score58.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer)Accuracy (%)95.4—Unverified
2Finstreder (Quartznet)Accuracy (%)90—Unverified
3BaselineAccuracy (%)81.6—Unverified