Sahar Ghannay
Sahar Ghannay
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Where Are We in Semantic Concept Extraction for Spoken Language Understanding?
Error Analysis Applied to End-to-End Spoken Language Understanding
A study of continuous space word and sentence representations applied to ASR error detection
End-to-end named entity and semantic concept extraction from speech
TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation
Task Specific Sentence Embeddings for ASR Error Detection
Représentations de phrases dans un espace continu spécifiques à la tâche de détection d'erreurs
Simulation d'erreurs de reconnaissance automatique dans un cadre de compréhension de la parole
End-to-end named entity extraction from speech
Simulating ASR errors for training SLU systems
Enriching confusion networks for post-processing
ASR Error Management for Improving Spoken Language Understanding
Acoustic word embeddings for ASR error detection
Recent improvements on error detection for automatic speech recognition
Evaluation of acoustic word embeddings
Utilisation des représentations continues des mots et des paramètres prosodiques pour la détection d'erreurs dans les transcriptions automatiques de la parole
Word embedding evaluation and combination
Combining continous word representation and prosodic features for ASR error prediction
Which ASR errors are hard to detect?
Word embeddings combination and neural networks for robustness in ASR error detection
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