Articoli con mandati relativi all'accesso pubblico - Chunlei ZhangUlteriori informazioni
Disponibili pubblicamente: 14
Text-independent Speaker Verification Based on Triplet Convolutional Neural Network Embeddings
C Zhang, K Koishida, JHL Hansen
IEEE Transactions on Audio, Speech and Language Processing, 2018
Mandati: US Department of Defense
An investigation of deep-learning frameworks for speaker verification antispoofing
C Zhang, C Yu, JHL Hansen
IEEE Journal of Selected Topics in Signal Processing 11 (4), 684-694, 2017
Mandati: US Department of Defense
Convolutional Neural Network Based Speaker De-Identification.
F Bahmaninezhad, C Zhang, JHL Hansen
Odyssey, 255-260, 2018
Mandati: US Department of Defense
UTD-CRSS Systems for 2018 NIST Speaker Recognition Evaluation
C Zhang, F Bahmaninezhad, S Ranjan, H Dubey, W Xia, JHL Hansen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandati: US Department of Defense
A Study of Speaker Verification Performance with Expressive Speech
S Parthasarathy, C Zhang, J H.L. Hansen, C Busso
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
Mandati: US National Science Foundation
EEND-SS: Joint end-to-end neural speaker diarization and speech separation for flexible number of speakers
S Maiti, Y Ueda, S Watanabe, C Zhang, M Yu, SX Zhang, Y Xu
2022 IEEE Spoken Language Technology Workshop (SLT), 480-487, 2023
Mandati: US National Science Foundation
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016
KA Lee, V Hautamaki, T Kinnunen, A Larcher, C Zhang, et al.
INTETSPEECH 2017, 2017
Mandati: Federal Ministry of Education and Research, Germany
An Analysis of Transfer Learning for Domain Mismatched Text-independent Speaker Verification.
C Zhang, S Ranjan, JHL Hansen
Odyssey, 181-186, 2018
Mandati: US Department of Defense
An investigation of domain adaptation in speaker embedding space for speaker recognition
F Bahmaninezhad, C Zhang, JHL Hansen
Speech Communication 129, 7-16, 2021
Mandati: US National Science Foundation, US Department of Defense
Semi-supervised learning with generative adversarial networks for arabic dialect identification
C Zhang, Q Zhang, JHL Hansen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandati: US Department of Defense
UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech
A Bulut, Q Zhang, C Zhang, F Bahmaninezhad
IEEE ASRU 2017, 2017
Mandati: US Department of Defense
Prosody-TTS: Improving Prosody with Masked Autoencoder and Conditional Diffusion Model For Expressive Text-to-Speech
R Huang, C Zhang, Y Ren, Z Zhao, D Yu
Findings of the Association for Computational Linguistics: ACL 2023, 8018-8034, 2023
Mandati: National Natural Science Foundation of China
Text-Available Speaker Recognition System for Forensic Applications.
C Yu, C Zhang, F Kelly, A Sangwan, JHL Hansen
INTERSPEECH, 1844-1847, 2016
Mandati: US National Science Foundation
Phonetic variability constrained bottleneck features for joint speaker recognition and physical task stress detection
C Zhang, JHL Hansen
The Journal of the Acoustical Society of America 148 (5), 2912-2921, 2020
Mandati: US National Science Foundation, US Department of Defense
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