Using cross lingual data to improve the performance of DNN-based Mandarin-speech recognition

碩士 === 國立交通大學 === 電信工程研究所 === 104 === Deep neural network (DNN) has been a popular research in automatic speech recognition. In this dissertation, we focus on implementing shared-hidden-layer language DNN acoustic model. The DNNs can be considered as a model that learns a complicated nonlinearity fe...

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Bibliographic Details
Main Authors: Lin, Chien-Ting, 林建廷
Other Authors: Wang, Yih-Ru
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/20792580221343597206