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LI HAIZHOU
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Issue Date
Title
Author(s)
2018
A spiking neural network framework for robust sound classification
Wu, J
;
Chua, Y
;
Zhang, M
;
Li, H
;
Tan, K.C
2018
A technical framework for automatic perceptual evaluation of singing quality
Gupta C.
;
Li H.
;
Wang Y.
2015
Adequacy-fluency metrics: Evaluating MT in the continuous space model framework
Banchs, Rafael E.M.
;
D'Haro, Luis Fernando
;
Li, Haizhou
16-Oct-2019
Automatic Leaderboard: Evaluation of Singing Quality Without a Standard Reference
CHITRALEKHA GUPTA
;
LI HAIZHOU
;
WANG YE
17-Apr-2020
Deep AM-FM: Toolkit for Automatic Dialogue Evaluation
Chen Zhang
;
Luis Fernando D'Haro
;
Rafael E. Banchs
;
Thomas Friedrichs
;
Haizhou Li
20-May-2020
First Leap Towards Development of Dialogue System for Autonomous Bus
MAULIK MADHAVI
;
ZHAN TONG
;
LI HAIZHOU
;
YUAN MIN
28-Nov-2019
Significance of Subband Features for Synthetic Speech Detection
YANG JICHEN
;
ROHAN KUMAR DAS
;
LI HAIZHOU
2016
Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
Xiao, X
;
Zhao, S
;
Ha Nguyen, D.H
;
Zhong, X
;
Jones, D.L
;
Chng, E.S
;
Li, H
14-Dec-2019
TIME-DOMAIN SPEAKER EXTRACTION NETWORK
Chenglin Xu
;
RAO WEI
;
Eng Siong Chng
;
LI HAIZHOU