Longbiao Wang
Title
Cited by
Cited by
Year
Speaker identification and verification by combining MFCC and phase information
S Nakagawa, L Wang, S Ohtsuka
IEEE transactions on audio, speech, and language processing 20 (4), 1085-1095, 2011
1982011
Speaker recognition by combining MFCC and phase information
S Nakagawa, K Asakawa, L Wang
Interspeech 2007, 2005-2008, 2007
1222007
Relative phase information for detecting human speech and spoofed speech
L Wang, Y Yoshida, Y Kawakami, S Nakagawa
Sixteenth Annual Conference of the International Speech Communication …, 2015
702015
Speaker identification by combining MFCC and phase information in noisy environments
L Wang, K Minami, K Yamamoto, S Nakagawa
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
682010
Improvement of Distant-Talking Speaker Identification Using Bottleneck Features of DNN
T Yamada, L Wang, A Kai
Interspeech 2012, 2013
632013
Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM
L Wang, N Kitaoka, S Nakagawa
Speech communication 49 (6), 501-513, 2007
582007
Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification
Z Zhang, L Wang, A Kai, T Yamada, W Li, M Iwahashi
EURASIP Journal on Audio, Speech, and Music Processing 2015 (1), 12, 2015
522015
High improvement of speaker identification and verification by combining MFCC and phase information
L Wang, S Ohtsuka, S Nakagawa
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
352009
Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
L Wang, K Odani, A Kai
EURASIP Journal on Advances in Signal Processing 2012 (1), 12, 2012
322012
A study of learning based beamforming methods for speech recognition
X Xiao, C Xu, Z Zhang, S Zhao, S Sun, S Watanabe, L Wang, L Xie, ...
CHiME 2016 workshop, 26-31, 2016
252016
A feature fusion method based on extreme learning machine for speech emotion recognition
L Guo, L Wang, J Dang, L Zhang, H Guan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
242018
Robust distant speech recognition by combining multiple microphone-array processing with position-dependent CMN
L Wang, N Kitaoka, S Nakagawa
EURASIP Journal on Advances in Signal Processing 2006 (1), 095491, 2006
242006
Spoofing speech detection using modified relative phase information
L Wang, S Nakagawa, Z Zhang, Y Yoshida, Y Kawakami
IEEE Journal of selected topics in signal processing 11 (4), 660-670, 2017
232017
Implicit discourse relation recognition using neural tensor network with interactive attention and sparse learning
F Guo, R He, D Jin, J Dang, L Wang, X Li
Proceedings of the 27th International Conference on Computational …, 2018
222018
Distant-talking speech recognition based on spectral subtraction by multi-channel LMS algorithm
L Wang, N Kitaoka, S Nakagawa
IEICE transactions on information and systems 94 (3), 659-667, 2011
222011
Robust distant speech recognition by combining position-dependent CMN with conventional CMN
L Wang, N Kitaoka, S Nakagawa
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
222007
PLDA in the i-supervector space for text-independent speaker verification
Y Jiang, KA Lee, L Wang
EURASIP Journal on Audio, Speech, and Music Processing 2014 (1), 29, 2014
212014
Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation
Z Zhang, L Wang, A Kai
EURASIP Journal on Audio, Speech, and Music Processing 2014 (1), 15, 2014
192014
LVCSR based on context-dependent syllable acoustic models (Speech)--(国際ワークショップ" Asian workshop on speech science and technology")
J Zhang, L Wang, S Nakagawa
電子情報通信学会技術研究報告. SP, 音声 107 (551), 81-86, 2008
192008
DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification.
Z Oo, Y Kawakami, L Wang, S Nakagawa, X Xiao, M Iwahashi
Interspeech, 2204-2208, 2016
182016
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