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Found 3 papers, 1 papers with code
Unified Speech-Text Pretraining for Spoken Dialog Modeling
While recent work shows promising results in expanding the capabilities of large language models (LLM) to directly understand and synthesize speech, an LLM-based strategy for modeling spoken dialogs remains elusive and calls for further investigation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition
Furthermore, fine-tuning on L2 speech improves recognition accuracy for both L1 and L2 speech without performance trade-offs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
The latent variables allow us to convert the domain of speech according to its context and domain representation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
