Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition

This paper demonstrates latent word recurrent neural network language models (LW-RNN-LMs) for enhancing automatic speech recognition (ASR). LW-RNN-LMs are constructed so as to pick up advantages in both recurrent neural network language models (RNN-LMs) and latent word language models (LW-LMs). The...

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Veröffentlicht in:IEICE Transactions on Information and Systems 2019/12/01, Vol.E102.D(12), pp.2557-2567
Hauptverfasser: MASUMURA, Ryo, ASAMI, Taichi, OBA, Takanobu, SAKAUCHI, Sumitaka, ITO, Akinori
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Sprache:eng
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