Keyword : n-gram approximation


Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition
Ryo MASUMURA Taichi ASAMI Takanobu OBA Sumitaka SAKAUCHI Akinori ITO 
Publication:   
Publication Date: 2019/12/01
Vol. E102-D  No. 12 ; pp. 2557-2567
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
latent words recurrent neural network language modelsn-gram approximationViterbi approximationautomatic speech recognition
 Summary | Full Text:PDF(732.2KB)

N-gram Approximation of Latent Words Language Models for Domain Robust Automatic Speech Recognition
Ryo MASUMURA Taichi ASAMI Takanobu OBA Hirokazu MASATAKI Sumitaka SAKAUCHI Satoshi TAKAHASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/10/01
Vol. E99-D  No. 10 ; pp. 2462-2470
Type of Manuscript:  Special Section PAPER (Special Section on Recent Advances in Machine Learning for Spoken Language Processing)
Category: Language modeling
Keyword: 
language modelsdomain robustnesslatent words language modelsn-gram approximationautomatic speech recognition
 Summary | Full Text:PDF(539.2KB)