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Found 4 papers, 1 papers with code
Addressing Segmentation Ambiguity in Neural Linguistic Steganography
Previous studies on neural linguistic steganography, except Ueoka et al. (2021), overlook the fact that the sender must detokenize cover texts to avoid arousing the eavesdropper's suspicion.
End-to-end Speech-to-Punctuated-Text Recognition
We also propose to incorporate an auxiliary loss to train the model using the output of the intermediate layer and unpunctuated texts.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Non-autoregressive (NAR) models simultaneously generate multiple outputs in a sequence, which significantly reduces the inference speed at the cost of accuracy drop compared to autoregressive baselines.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
This paper proposes a method to relax the conditional independence assumption of connectionist temporal classification (CTC)-based automatic speech recognition (ASR) models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
