Multiscale recurrent neural network based language model

By Tsuyoshi Morioka, Tomoharu Iwata, Takaaki Hori, Tetsunori Kobayashi. 2015

24 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

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In Artificial Intelligence

1. Shinji Watanabe
2. Emmanuel Vincent
3. Jon Barker
4. Ricard Marxer
5. Jinyu Li
6. Mirco Ravanelli
7. John R. Hershey
8. Yoshua Bengio

Citations in the corpus

• The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes (2017, methodology): “…hypotheses using either a DNN-LM (Vu et al., 2015), LSTM-LM (El-Desoky Mousa et al., 2015) or, most commonly, a conventional recurrent neural network language model (RNN-LM; Mikolov et al., 2010) (Tachioka et al., 2015; Yoshioka et al., 2015; Sivasankaran et al., 2015; Pfeifenberger et al., 2015).”