SOTAVerified

Spoken Language Understanding

Papers

Showing 125 of 550 papers

TitleStatusHype
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning BenchmarkCode7
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
SyllableLM: Learning Coarse Semantic Units for Speech Language ModelsCode2
Speech Model Pre-training for End-to-End Spoken Language UnderstandingCode2
Using Speech Synthesis to Train End-to-End Spoken Language Understanding ModelsCode2
Large Language Models for Expansion of Spoken Language Understanding Systems to New LanguagesCode1
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language UnderstandingCode1
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language UnderstandingCode1
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnetCode1
Cross-lingual Spoken Language Understanding with Regularized Representation AlignmentCode1
Adapting Pretrained Transformer to Lattices for Spoken Language UnderstandingCode1
ITALIC: An Italian Intent Classification DatasetCode1
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-DistillationCode1
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent ClassificationCode1
Improving fairness for spoken language understanding in atypical speech with Text-to-SpeechCode1
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsCode1
BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation WritingCode1
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot FillingCode1
A Co-Interactive Transformer for Joint Slot Filling and Intent DetectionCode1
Contrastive Learning for Improving ASR Robustness in Spoken Language UnderstandingCode1
Data Augmentation for Spoken Language Understanding via Pretrained Language ModelsCode1
ESPnet-ONNX: Bridging a Gap Between Research and ProductionCode1
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language UnderstandingCode1
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned DataCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
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Benchmark Results

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