An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR

[1]  Yoshua Bengio,et al.  On integrating a language model into neural machine translation , 2017, Comput. Speech Lang..

[2]  Mathias Creutz,et al.  Unsupervised Discovery of Morphemes , 2002, SIGMORPHON.

[3]  Mikko Kurimo,et al.  Advances in subword-based HMM-DNN speech recognition across languages , 2021, Comput. Speech Lang..

[4]  Teemu Hirsimäki,et al.  On Growing and Pruning Kneser–Ney Smoothed $ N$-Gram Models , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[5]  Mikko Kurimo,et al.  Importance of High-Order N-Gram Models in Morph-Based Speech Recognition , 2009, IEEE Transactions on Audio, Speech, and Language Processing.