788 citations · 1.1k across the 33 of their papers we have counts for
4 papers · 1 filter
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM
Takaaki Hori, Shinji Watanabe, Yu Zhang +1
We present a state-of-the-art end-to-end Automatic Speech Recognition (ASR) model. We learn to listen and write characters with a joint Connectionist Temporal Classification (CTC)…
End-to-end Conversation Modeling Track in DSTC6
Chiori Hori, Takaaki Hori
End-to-end training of neural networks is a promising approach to automatic construction of dialog systems using a human-to-human dialog corpus. Recently, Vinyals et al. tested neu…
Multichannel End-to-end Speech Recognition
Tsubasa Ochiai, Shinji Watanabe, Takaaki Hori +1
The field of speech recognition is in the midst of a paradigm shift: end-to-end neural networks are challenging the dominance of hidden Markov models as a core technology. Using an…
Attention-Based Multimodal Fusion for Video Description
Chiori Hori, Takaaki Hori, Teng-Yok Lee +3
Currently successful methods for video description are based on encoder-decoder sentence generation using recur-rent neural networks (RNNs). Recent work has shown the advantage of…