| A parallel-data-free speech enhancement method using multi-objective learning cycle-consistent generative adversarial network Y Xiang, C Bao IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1826-1838, 2020 | 45 | 2020 |
| An NMF-HMM Speech Enhancement Method based on Kullback-Leibler Divergence Y Xiang, L Shi, JL Højvang, MH Rasmussen, M Græsbøll Interspeech 2020, 2020 | 13 | 2020 |
| DNN-based speech enhancement using MBE model Q Huang, C Bao, X Wang, Y Xiang 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 12 | 2018 |
| A novel NMF-HMM speech enhancement algorithm based on poisson mixture model Y Xiang, L Shi, JL Højvang, MH Rasmussen, MG Christensen ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 9 | 2021 |
| Speech enhancement via generative adversarial LSTM networks Y Xiang, C Bao 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 46-50, 2018 | 8 | 2018 |
| A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder Y Xiang, JL Højvang, MH Rasmussen, MG Christensen ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| Speech enhancement method based on multi-band excitation model Q Huang, C Bao, X Wang, Y Xiang Applied Acoustics 163, 107236, 2020 | 5 | 2020 |
| A Deep Representation Learning-Based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencoder Y Xiang, J Tian, X Hu, X Xu, ZH Yin ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| A deep representation learning speech enhancement method using -VAE Y Xiang, JL Højvang, MH Rasmussen, MG Christensen 2022 30th European Signal Processing Conference (EUSIPCO), pp. 359-363, 2022 | 4 | 2022 |
| 基于深度神经网络的单通道语音增强方法回顾. 鲍长春， 项扬 Journal of Signal Processing 35 (12), 2019 | 4 | 2019 |
| A weekly supervised speech enhancement strategy using cycle-gan Y Xiang, C Bao, J Yuan 2020 IEEE International Conference on Signal Processing, Communications and …, 2020 | 3 | 2020 |
| A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training Y Xiang, JL Højvang, MH Rasmussen, MG Christensen IEEE/ACM Transactions on Audio, Speech and Language Processing 32, pp. 164-177, 2022 | 2 | 2022 |
| A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence Y Xiang, L Shi, JL Højvang, MH Rasmussen, MG Christensen EURASIP Journal on Audio, Speech, and Music Processing 2022, no. 1 (2022 …, 2022 | 2 | 2022 |
| Speech Enhancement with Phase Correction based on Modified DNN Architecture R Cheng, C Bao, Y Xiang 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 2 | 2018 |
| A codebook-driven speech enhancement method by exploiting speech harmonicity Y Xiang, C Bao 2017 IEEE International Conference on Signal Processing, Communications and …, 2017 | 2 | 2017 |
| Multisource localization based on angle distribution of time–frequency points using an FOA microphone L Tao, M Jia, L Li, J Wang, Y Xiang CAAI Transactions on Intelligence Technology 8 (3), 807-823, 2023 | 1 | 2023 |
| Speech Enhancement Based on Cepstral Mapping and Deep Neural Networks Y Xiang, C Bao 2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018 | 1 | 2018 |
| The RoyalFlush Automatic Speech Diarization and Recognition System for In-Car Multi-Channel Automatic Speech Recognition Challenge J Tian, S Ye, S Chen, Y Xiang, Z Yin, X Hu, X Xu arXiv preprint arXiv:2405.05498, 2024 | | 2024 |
| Single Channel Speech Presence Probability Estimation based on Hybrid Global-Local Information S Tao, Y Xiang, H Reddy, JR Jensen, MG Christensen 2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023 | | 2023 |
| Data-driven Speech Enhancement: from Non-negative Matrix Factorization to Deep Representation Learning Y Xiang | | 2022 |
Mads Græsbøll ChristensenProfessor, Dept. of Electronic Systems, Aalborg University在 es.aau.dk 的电子邮件经过验证
