SOTAVerified

Spoken Language Understanding

Papers

Showing 201–225 of 550 papers

TitleStatusHype
Distributionally Robust Finetuning BERT for Covariate Drift in Spoken Language Understanding—0
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model—0
WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment—0
Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation—0
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data—0
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding—0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems—0
A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding—0
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model—0
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
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
Improving End-to-End Models for Set Prediction in Spoken Language Understanding—0
Dialog Intent Induction via Density-based Deep Clustering Ensemble—0
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
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?—0
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
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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