文献
J-GLOBAL ID:201602210934290115
整理番号:16A1209618
ロバスト音声認識のための深い神経回路網による混合帯域幅データの共同モデリングに関する実験的研究【Powered by NICT】
An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition
著者 (6件):
Jianqing Gao
(National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China)
,
Du Jun
(National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China)
,
Changqing Kong
(iFlytek Research, iFlytek Co., Ltd., Hefei, Anhui, China)
,
Huaifang Lu
(iFlytek Research, iFlytek Co., Ltd., Hefei, Anhui, China)
,
Enhong Chen
(National Engineering Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China)
,
Lee Chin-Hui
(Georgia Institute of Technology, Atlanta, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
IJCNN
ページ:
588-594
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)