SOTAVerified

Spoken Language Understanding

Papers

Showing 351–400 of 550 papers

TitleStatusHype
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation—0
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction—0
Spoken Language Understanding for Natural Interaction—0
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks—0
Spoken Language Understanding on Unseen Tasks With In-Context Learning—0
ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding—0
STOP: A dataset for Spoken Task Oriented Semantic Parsing—0
Structured Dialogue Policy with Graph Neural Networks—0
Structured Discriminative Model For Dialog State Tracking—0
Structured Learning for Context-aware Spoken Language Understanding of Robotic Commands—0
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding—0
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings—0
Syntactic annotation of spontaneous speech: application to call-center conversation data—0
Syntactic Graph Convolutional Network for Spoken Language Understanding—0
Target word prediction and paraphasia classification in spoken discourse—0
Task Lineages: Dialog State Tracking for Flexible Interaction—0
Temporal Generalization for Spoken Language Understanding—0
Tensor decomposition for minimization of E2E SLU model toward on-device processing—0
The Alexa Meaning Representation Language—0
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese—0
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting—0
The Dialog State Tracking Challenge—0
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding—0
The importance of fillers for text representations of speech transcripts—0
The Lost Combinator—0
The PARLANCE mobile application for interactive search in English and Mandarin—0
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge—0
The SJTU System for Dialog State Tracking Challenge 2—0
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools—0
The Utility of Manual and Automatic Linguistic Error Codes for Identifying Neurodevelopmental Disorders—0
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model—0
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding—0
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models—0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems—0
Toward Joint Language Modeling for Speech Units and Text—0
Toward Low-Cost End-to-End Spoken Language Understanding—0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks—0
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations—0
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding—0
Towards Joint Intent Detection and Slot Filling via Higher-order Attention—0
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems—0
Towards Semi-Supervised Semantics Understanding from Speech—0
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning—0
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?—0
Training and evaluation of an MDP model for social multi-user human-robot interaction—0
Training data reduction for multilingual Spoken Language Understanding systems—0
Transfer Learning for Context-Aware Spoken Language Understanding—0
Transferring SLU Models in Novel Domains—0
Two-Pass Low Latency End-to-End Spoken Language Understanding—0
Understanding Semantics from Speech Through Pre-training—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