7 citations · 14 across the 4 of their papers we have counts for
4 papers
Addressing Segmentation Ambiguity in Neural Linguistic Steganography
Jumon Nozaki, Yugo Murawaki
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…
End-to-end Speech-to-Punctuated-Text Recognition
Jumon Nozaki, Tatsuya Kawahara, Kenkichi Ishizuka +1
Conventional automatic speech recognition systems do not produce punctuation marks which are important for the readability of the speech recognition results. They are also needed f…
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Yosuke Higuchi, Nanxin Chen, Yuya Fujita +6
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 aut…
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions
Jumon Nozaki, Tatsuya Komatsu
This paper proposes a method to relax the conditional independence assumption of connectionist temporal classification (CTC)-based automatic speech recognition (ASR) models. We tra…