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2020 – today
- 2022
[i11]Xin Zhang, Iván Vallés-Pérez, Andreas Stolcke, Chengzhu Yu, Jasha Droppo, Olabanji Shonibare, Roberto Barra-Chicote, Venkatesh Ravichandran:
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech. CoRR abs/2211.09731 (2022)- 2021
- [c32]Yufei Liu, Chengzhu Yu, Shuai Wang, Zhenchuan Yang, Yang Chao, Weibin Zhang:
Non-Parallel Any-to-Many Voice Conversion by Replacing Speaker Statistics. Interspeech 2021: 1369-1373 - 2020
- [c31]Qiao Tian, Zewang Zhang, Ling-Hui Chen, Heng Lu, Chengzhu Yu, Chao Weng, Dong Yu:
The Tencent speech synthesis system for Blizzard Challenge 2020. Blizzard Challenge / Voice Conversion Challenge 2020 - [c30]Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu:
Pitchnet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network. ICASSP 2020: 7749-7753 - [c29]Chao Weng, Chengzhu Yu, Jia Cui, Chunlei Zhang, Dong Yu:
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition. INTERSPEECH 2020: 966-970 - [c28]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Peking Opera Synthesis via Duration Informed Attention Network. INTERSPEECH 2020: 1226-1230 - [c27]Liqiang Zhang, Chengzhu Yu, Heng Lu, Chao Weng, Chunlei Zhang, Yusong Wu, Xiang Xie, Zijin Li, Dong Yu:
DurIAN-SC: Duration Informed Attention Network Based Singing Voice Conversion System. INTERSPEECH 2020: 1231-1235 - [c26]Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su, Dong Yu:
DurIAN: Duration Informed Attention Network for Speech Synthesis. INTERSPEECH 2020: 2027-2031 - [i10]Liqiang Zhang, Chengzhu Yu, Heng Lu, Chao Weng, Chunlei Zhang, Yusong Wu, Xiang Xie, Zijin Li, Dong Yu:
DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System. CoRR abs/2008.03009 (2020) - [i9]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Peking Opera Synthesis via Duration Informed Attention Network. CoRR abs/2008.03029 (2020)
2010 – 2019
- 2019
- [c25]Yichi Zhang, Meng Yu, Na Li, Chengzhu Yu, Jia Cui, Dong Yu:
Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification. ICASSP 2019: 6131-6135 - [c24]Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu:
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. ICLR (Poster) 2019 - [c23]John H. L. Hansen, Aditya Joglekar, Meena Chandra Shekhar, Vinay Kothapally, Chengzhu Yu, Lakshmish Kaushik, Abhijeet Sangwan:
The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic Audio. INTERSPEECH 2019: 1851-1855 - [i8]Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su, Dong Yu:
DurIAN: Duration Informed Attention Network For Multimodal Synthesis. CoRR abs/1909.01700 (2019) - [i7]Chao Weng, Chengzhu Yu, Jia Cui, Chunlei Zhang, Dong Yu:
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition. CoRR abs/1911.12487 (2019) - [i6]Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu:
PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network. CoRR abs/1912.01852 (2019) - [i5]Liqiang Zhang, Chengzhu Yu, Heng Lu, Chao Weng, Yusong Wu, Xiang Xie, Zijin Li, Dong Yu:
Learning Singing From Speech. CoRR abs/1912.10128 (2019) - [i4]Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network. CoRR abs/1912.12010 (2019) - 2018
- [c22]Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu, Dan Su, Dong Yu:
Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition. INTERSPEECH 2018: 761-765 - [c21]Chengzhu Yu, Chunlei Zhang, Chao Weng, Jia Cui, Dong Yu:
A Multistage Training Framework for Acoustic-to-Word Model. INTERSPEECH 2018: 786-790 - [c20]John H. L. Hansen, Abhijeet Sangwan, Aditya Joglekar, Ahmet Emin Bulut, Lakshmish Kaushik, Chengzhu Yu:
Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the Moon. INTERSPEECH 2018: 2758-2762 - [c19]Chunlei Zhang, Chengzhu Yu, Chao Weng, Jia Cui, Dong Yu:
An Exploration of Directly Using Word as ACOUSTIC Modeling Unit for Speech Recognition. SLT 2018: 64-69 - [c18]Jia Cui, Chao Weng, Guangsen Wang, Jun Wang, Peidong Wang, Chengzhu Yu, Dan Su, Dong Yu:
Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions. SLT 2018: 353-360 - [i3]Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu:
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. CoRR abs/1812.09323 (2018) - 2017
- [j3]Chunlei Zhang, Chengzhu Yu, John H. L. Hansen:
An Investigation of Deep-Learning Frameworks for Speaker Verification Antispoofing. IEEE J. Sel. Top. Signal Process. 11(4): 684-694 (2017) - [j2]Dongmei Wang, Chengzhu Yu, John H. L. Hansen:
Robust Harmonic Features for Classification-Based Pitch Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 952-964 (2017) - [j1]Chengzhu Yu, John H. L. Hansen:
Active Learning Based Constrained Clustering For Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2188-2198 (2017) - [c17]Geoffrey Zweig, Chengzhu Yu, Jasha Droppo
, Andreas Stolcke:
Advances in all-neural speech recognition. ICASSP 2017: 4805-4809 - [c16]Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Chengzhu Yu, Navid Shokouhi, John H. L. Hansen:
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation. INTERSPEECH 2017: 1343-1347 - 2016
- [c15]Douglas W. Oard, John H. L. Hansen, Abhijeet Sangwan, Bryan Toth, Lakshmish Kaushik, Chengzhu Yu:
Toward Access to Multi-Perspective Archival Spoken Word Content. ICADL 2016: 77-82 - [c14]Marc Delcroix, Keisuke Kinoshita, Chengzhu Yu, Atsunori Ogawa, Takuya Yoshioka, Tomohiro Nakatani:
Context adaptive deep neural networks for fast acoustic model adaptation in noisy conditions. ICASSP 2016: 5270-5274 - [c13]Shivesh Ranjan, Chengzhu Yu, Chunlei Zhang, Finnian Kelly, John H. L. Hansen:
Language recognition using deep neural networks with very limited training data. ICASSP 2016: 5830-5834 - [c12]Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, John H. L. Hansen:
UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge. ICASSP 2016: 5835-5839 - [c11]Chengzhu Yu, Chunlei Zhang, Finnian Kelly, Abhijeet Sangwan, John H. L. Hansen:
Text-Available Speaker Recognition System for Forensic Applications. INTERSPEECH 2016: 1844-1847 - [i2]Geoffrey Zweig, Chengzhu Yu, Jasha Droppo, Andreas Stolcke:
Advances in All-Neural Speech Recognition. CoRR abs/1609.05935 (2016) - [i1]Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Chengzhu Yu, Navid Shokouhi, John H. L. Hansen:
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation. CoRR abs/1610.07651 (2016) - 2015
- [c10]Takuya Yoshioka, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Masakiyo Fujimoto, Chengzhu Yu, Wojciech J. Fabian, Miquel Espi, Takuya Higuchi, Shoko Araki, Tomohiro Nakatani:
The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices. ASRU 2015: 436-443 - [c9]Chunlei Zhang, Gang Liu, Chengzhu Yu, John H. L. Hansen:
I-vector based physical task stress detection with different fusion strategies. INTERSPEECH 2015: 2689-2693 - [c8]Chengzhu Yu, Atsunori Ogawa, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani, John H. L. Hansen:
Robust i-vector extraction for neural network adaptation in noisy environment. INTERSPEECH 2015: 2854-2857 - 2014
- [c7]Chengzhu Yu, Gang Liu, Seongjun Hahm, John H. L. Hansen:
Uncertainty propagation in front end factor analysis for noise robust speaker recognition. ICASSP 2014: 4017-4021 - [c6]Chengzhu Yu, John H. L. Hansen, Douglas W. Oard:
'houston, we have a solution': a case study of the analysis of astronaut speech during NASA apollo 11 for long-term speaker modeling. INTERSPEECH 2014: 945-948 - [c5]Chengzhu Yu, Gang Liu, John H. L. Hansen:
Acoustic feature transformation using UBM-based LDA for speaker recognition. INTERSPEECH 2014: 1851-1854 - [c4]Gang Liu, John H. L. Hansen, Chengzhu Yu, Abhinav Misra, Navid Shokouhi:
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data. Odyssey 2014: 118-122 - [c3]Gang Liu, Chengzhu Yu, Navid Shokouhi, Abhinav Misra, Hua Xing, John H. L. Hansen:
Utilization of unlabeled development data for speaker verification. SLT 2014: 418-423 - 2013
- [c2]Chengzhu Yu, Kamil K. Wójcicki, Philipos C. Loizou, John H. L. Hansen:
A new mask-based objective measure for predicting the intelligibility of binary masked speech. ICASSP 2013: 7030-7033 - [c1]Abhijeet Sangwan, Lakshmish Kaushik, Chengzhu Yu, John H. L. Hansen, Douglas W. Oard:
'houston, we have a solution': using NASA apollo program to advance speech and language processing technology. INTERSPEECH 2013: 1135-1139
Coauthor Index
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