Kazuki Irie

Improved Training of End-to-end Attention Models for Speech Recognition

Albert Zeyer, Kazuki Irie, Ralf Schlüter et al. · 2018 · 279 citations · Full text

Subword Units, Llm Fine-tuning, Engineering +16

A Comparison of Transformer and LSTM Encoder Decoder Models for ASR

Albert Zeyer, Parnia Bahar, Kazuki Irie et al. · 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · 2019 · 221 citations

Llm Fine-tuning, Engineering, Machine Learning +18

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Jonathan Shen, Patrick Nguyen, Yonghui Wu et al. · arXiv (Cornell University) · 2019 · 183 citations · Full text

Engineering, Machine Learning, Tensorflow Framework +16

Language Modeling with Deep Transformers

Kazuki Irie, Albert Zeyer, Ralf Schlüter et al. · 2019 · 177 citations · Full text

LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition

Kazuki Irie, Zoltán Tüske, Tamer Alkhouli et al. · 2016 · 97 citations

Engineering, Machine Learning, Long Short-term Memory +22