SOTAVerified

Spoken Language Understanding

Papers

Showing 426450 of 550 papers

TitleStatusHype
Active Learning in Noisy Conditions for Spoken Language Understanding0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models0
A Data Efficient End-To-End Spoken Language Understanding Architecture0
Addressing the Blind Spots in Spoken Language Processing0
A Deep Learning System for Domain-specific Speech Recognition0
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task0
A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding0
Adversarial Adaptation of Synthetic or Stale Data0
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding0
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems0
A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents0
A Joint and Domain-Adaptive Approach to Spoken Language Understanding0
A Joint Learning Framework With BERT for Spoken Language Understanding0
A Joint Model for Discovery of Aspects in Utterances0
ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users0
Almawave-SLU: A new dataset for SLU in Italian0
A low latency ASR-free end to end spoken language understanding system0
A Methodology for Obtaining Concept Graphs from Word Graphs0
A Model of Zero-Shot Learning of Spoken Language Understanding0
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction0
An Approach to Improve Robustness of NLP Systems against ASR Errors0
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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