Nanxin Chen
Title
Cited by
Cited by
Year
Espnet: End-to-end speech processing toolkit
S Watanabe, T Hori, S Karita, T Hayashi, J Nishitoba, Y Unno, NEY Soplin, ...
arXiv preprint arXiv:1804.00015, 2018
3892018
A comparative study on transformer vs rnn in speech applications
S Karita, N Chen, T Hayashi, T Hori, H Inaguma, Z Jiang, M Someki, ...
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
2092019
Deep feature for text-dependent speaker verification
Y Liu, Y Qian, N Chen, T Fu, Y Zhang, K Yu
Speech Communication 73, 1-13, 2015
1592015
Multi-task learning for text-dependent speaker verification
N Chen, Y Qian, K Yu
Proc. 16th Annual Conference of the International Speech Communication …, 2015
822015
Robust deep feature for spoofing detection—The SJTU system for ASVspoof 2015 challenge
N Chen, Y Qian, H Dinkel, B Chen, K Yu
Sixteenth Annual Conference of the International Speech Communication …, 2015
662015
Overview of BTAS 2016 speaker anti-spoofing competition
P Korshunov, S Marcel, H Muckenhirn, AR Gonçalves, AGS Mello, ...
2016 IEEE 8th international conference on biometrics theory, applications …, 2016
642016
State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18.
J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ...
Interspeech, 1488-1492, 2019
542019
Deep features for automatic spoofing detection
Y Qian, N Chen, K Yu
Speech Communication 85, 43-52, 2016
492016
End-to-end spoofing detection with raw waveform CLDNNS
H Dinkel, N Chen, Y Qian, K Yu
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
452017
ASSERT: Anti-spoofing with squeeze-excitation and residual networks
CI Lai, N Chen, J Villalba, N Dehak
arXiv preprint arXiv:1904.01120, 2019
412019
Age estimation in short speech utterances based on LSTM recurrent neural networks
R Zazo, PS Nidadavolu, N Chen, J Gonzalez-Rodriguez, N Dehak
IEEE Access 6, 22524-22530, 2018
402018
State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and speakers in the wild evaluations
J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ...
Computer Speech & Language 60, 101026, 2020
332020
Listen and fill in the missing letters: Non-autoregressive transformer for speech recognition
N Chen, S Watanabe, J Villalba, N Dehak
arXiv preprint arXiv:1911.04908, 2019
29*2019
Deep feature engineering for noise robust spoofing detection
Y Qian, N Chen, H Dinkel, Z Wu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017
242017
Zero-shot multi-speaker text-to-speech with state-of-the-art neural speaker embeddings
E Cooper, CI Lai, Y Yasuda, F Fang, X Wang, N Chen, J Yamagishi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
232020
End-to-end Deep Neural Network Age Estimation.
P Ghahremani, PS Nidadavolu, N Chen, J Villalba, D Povey, ...
INTERSPEECH, 277-281, 2018
222018
Mask CTC: Non-autoregressive end-to-end ASR with CTC and mask predict
Y Higuchi, S Watanabe, N Chen, T Ogawa, T Kobayashi
arXiv preprint arXiv:2005.08700, 2020
182020
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
R Pappagari, T Wang, J Villalba, N Chen, N Dehak
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
The JHU Speaker Recognition System for the VOiCES 2019 Challenge.
D Snyder, J Villalba, N Chen, D Povey, G Sell, N Dehak, S Khudanpur
INTERSPEECH, 2468-2472, 2019
162019
The jhu-mit system description for nist sre18
J Villalba, N Chen, D Snyder, D Garcia-Romero, A McCree, G Sell, ...
Johns Hopkins University, Baltimore, MD, Tech. Rep, 2018
132018
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