| Supervised speech separation based on deep learning: An overview DL Wang, J Chen IEEE/ACM transactions on audio, speech, and language processing 26 (10 …, 2018 | 1488 | 2018 |
| Neural voice cloning with a few samples S Arik, J Chen, K Peng, W Ping, Y Zhou Advances in neural information processing systems 31, 2018 | 424 | 2018 |
| Clarinet: Parallel wave generation in end-to-end text-to-speech W Ping, K Peng, J Chen arXiv preprint arXiv:1807.07281, 2018 | 401 | 2018 |
| Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation J Chen, DL Wang INTERSPEECH, 2016 | 286 | 2016 |
| Exploring neural transducers for end-to-end speech recognition E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ... 2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017 | 252 | 2017 |
| A feature study for classification-based speech separation at very low signal-to-noise ratio J Chen, Y Wang, DL Wang 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 247* | 2014 |
| Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises J Chen, Y Wang, SE Yoho, DL Wang, EW Healy The Journal of the Acoustical Society of America 139 (5), 2604-2612, 2016 | 207 | 2016 |
| Gated residual networks with dilated convolutions for monaural speech enhancement K Tan, J Chen, DL Wang IEEE/ACM transactions on audio, speech, and language processing 27 (1), 189-198, 2018 | 174 | 2018 |
| An algorithm to increase speech intelligibility for hearing-impaired listeners in novel segments of the same noise type EW Healy, SE Yoho, J Chen, Y Wang, DL Wang The Journal of the Acoustical Society of America 138 (3), 1660-1669, 2015 | 99 | 2015 |
| Giantmidi-piano: A large-scale midi dataset for classical piano music Q Kong, B Li, J Chen, Y Wang arXiv preprint arXiv:2010.07061, 2020 | 87 | 2020 |
| Bytesing: A chinese singing voice synthesis system using duration allocated encoder-decoder acoustic models and wavernn vocoders Y Gu, X Yin, Y Rao, Y Wan, B Tang, Y Zhang, J Chen, Y Wang, Z Ma 2021 12th International Symposium on Chinese Spoken Language Processing …, 2021 | 81 | 2021 |
| Performance analysis and evaluation of infiniband fdr and 40gige roce on hpc and cloud computing systems J Vienne, J Chen, M Wasi-Ur-Rahman, NS Islam, H Subramoni, ... 2012 IEEE 20th Annual Symposium on High-Performance Interconnects, 48-55, 2012 | 80 | 2012 |
| Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation K Tan, J Chen, DL Wang 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 59 | 2018 |
| Rewon Child, Adam Coates, Yashesh Gaur Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, and Zhenyao Zhu,“Exploring neural transducers for end-to-end speech recognition,” E Battenberg, J Chen Automatic Speech Recognition and Understanding Workshop (ASRU), 206-213, 2017 | 38 | 2017 |
| Differentiable wavetable synthesis S Shan, L Hantrakul, J Chen, M Avent, D Trevelyan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 35 | 2022 |
| Noise perturbation for supervised speech separation J Chen, Y Wang, DL Wang Speech communication 78, 1-10, 2016 | 32 | 2016 |
| DNN based mask estimation for supervised speech separation J Chen, DL Wang Audio source separation, 207-235, 2018 | 28 | 2018 |
| Efficient neural music generation MWY Lam, Q Tian, T Li, Z Yin, S Feng, M Tu, Y Ji, R Xia, M Ma, X Song, ... Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Deep neural network based supervised speech segregation generalizes to novel noises through large-scale training Y Wang, J Chen, DL Wang Dept. of Comput. Sci. and Eng., The Ohio State Univ., Columbus, OH, USA …, 2015 | 20 | 2015 |
| Noise Perturbation Improves Supervised Speech Separation J Chen, Y Wang, DL Wang The 12th International Conference on Latent Variable Analysis and Signal …, 2015 | 16 | 2015 |
DeLiang WangProfessor of Computer Science and Engineering, Ohio State University在 cse.ohio-state.edu 的电子邮件经过验证
