cluster #1

Papers

• Conv-tasnet: Surpassing Ideal Time-frequency Magnitude Masking For Speech Separation (2018)
  Yi Luo, Nima Mesgarani
  24.08
• Speech Enhancement And Dereverberation With Diffusion-based Generative Models (2022)
  Julius Richter, Simon Welker, Jean-Marie Lemercier, et al.
  23.51
• FRCRN: Boosting Feature Representation Using Frequency Recurrence For Monaural Speech Enhancement (2022)
  Shengkui Zhao, Bin Ma, Karn N. Watcharasupat, et al.
  22.16
• SEGAN: Speech Enhancement Generative Adversarial Network (2017)
  Santiago Pascual, Antonio Bonafonte, Joan Serrà
  21.85
• Dual-path RNN: Efficient Long Sequence Modeling For Time-domain Single-channel Speech Separation (2019)
  Yi Luo, Zhuo Chen, Takuya Yoshioka
  21.06
• Multi-talker Speech Separation With Utterance-level Permutation Invariant Training Of Deep Recurrent Neural Networks (2017)
  Morten Kolbæk, Dong Yu, Zheng-Hua Tan, et al.
  20.90
• DCCRN: Deep Complex Convolution Recurrent Network For Phase-aware Speech Enhancement (2020)
  Yanxin Hu, Yun Liu, Shubo Lv, et al.
  20.78
• Attention Is All You Need In Speech Separation (2020)
  Cem Subakan, Mirco Ravanelli, Samuele Cornell, et al.
  20.59
• Tasnet: Time-domain Audio Separation Network For Real-time, Single-channel Speech Separation (2017)
  Yi Luo, Nima Mesgarani
  20.16
• Supervised And Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization (2017)
  Nasser Mohammadiha, Paris Smaragdis, Arne Leijon
  18.80
• Espnet-se++: Speech Enhancement For Robust Speech Recognition, Translation, And Understanding (2022)
  Yen-Ju Lu, Xuankai Chang, Chenda Li, et al.
  18.72
• A Wavenet For Speech Denoising (2017)
  Dario Rethage, Jordi Pons, Xavier Serra
  18.47
• An Overview Of Deep-learning-based Audio-visual Speech Enhancement And Separation (2020)
  Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, et al.
  18.31
• Dual-path Transformer Network: Direct Context-aware Modeling For End-to-end Monaural Speech Separation (2020)
  Jingjing Chen, Qirong Mao, Dong Liu
  18.24
• PHASEN: A Phase-and-harmonics-aware Speech Enhancement Network (2019)
  Dacheng Yin, Chong Luo, Zhiwei Xiong, et al.
  18.20
• End-to-end Waveform Utterance Enhancement For Direct Evaluation Metrics Optimization By Fully Convolutional Neural Networks (2017)
  Szu-Wei Fu, Tao-Wei Wang, Yu Tsao, et al.
  18.00
• Deep Attractor Network For Single-microphone Speaker Separation (2016)
  Zhuo Chen, Yi Luo, Nima Mesgarani
  17.88
• Voicefilter: Targeted Voice Separation By Speaker-conditioned Spectrogram Masking (2018)
  Quan Wang, Hannah Muckenhirn, Kevin Wilson, et al.
  17.48
• Audio-visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks (2017)
  Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, et al.
  17.39
• Fullsubnet: A Full-band And Sub-band Fusion Model For Real-time Single-channel Speech Enhancement (2020)
  Xiang Hao, Xiangdong Su, Radu Horaud, et al.
  17.09
• Speaker-independent Speech Separation With Deep Attractor Network (2017)
  Yi Luo, Zhuo Chen, Nima Mesgarani
  16.84
• TSTNN: Two-stage Transformer Based Neural Network For Speech Enhancement In The Time Domain (2021)
  Kai Wang, Bengbeng He, Wei-Ping Zhu
  16.73
• Raw Waveform-based Speech Enhancement By Fully Convolutional Networks (2017)
  Szu-Wei Fu, Yu Tsao, Xugang Lu, et al.
  16.63
• Dense CNN With Self-attention For Time-domain Speech Enhancement (2020)
  Ashutosh Pandey, Deliang Wang
  16.59
• Exploring Speech Enhancement With Generative Adversarial Networks For Robust Speech Recognition (2017)
  Chris Donahue, Bo Li, Rohit Prabhavalkar
  16.14
• WHAMR!: Noisy And Reverberant Single-channel Speech Separation (2019)
  Matthew MacIejewski, Gordon Wichern, Emmett McQuinn, et al.
  16.10
• Multichannel Long-term Streaming Neural Speech Enhancement For Static And Moving Speakers (2024)
  Changsheng Quan, Xiaofei Li
  16.05
• Conditional Generative Adversarial Networks For Speech Enhancement And Noise-robust Speaker Verification (2017)
  Daniel Michelsanti, Zheng-Hua Tan
  16.03
• T-GSA: Transformer With Gaussian-weighted Self-attention For Speech Enhancement (2019)
  Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
  15.95
• Audio-visual Speech Codecs: Rethinking Audio-visual Speech Enhancement By Re-synthesis (2022)
  Karren Yang, Dejan Markovic, Steven Krenn, et al.
  15.58
• Complex Spectrogram Enhancement By Convolutional Neural Network With Multi-metrics Learning (2017)
  Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, et al.
  15.57
• Mp-senet: A Speech Enhancement Model With Parallel Denoising Of Magnitude And Phase Spectra (2023)
  Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
  15.51
• Storm: A Diffusion-based Stochastic Regeneration Model For Speech Enhancement And Dereverberation (2022)
  Jean-Marie Lemercier, Julius Richter, Simon Welker, et al.
  15.43
• Fullsubnet+: Channel Attention Fullsubnet With Complex Spectrograms For Speech Enhancement (2022)
  Jun Chen, Zilin Wang, Deyi Tuo, et al.
  15.10
• Statistical Speech Enhancement Based On Probabilistic Integration Of Variational Autoencoder And Non-negative Matrix Factorization (2017)
  Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, et al.
  15.00
• End-to-end Speech Separation With Unfolded Iterative Phase Reconstruction (2018)
  Zhong-Qiu Wang, Jonathan Le Roux, Deliang Wang, et al.
  15.00
• ADL-MVDR: All Deep Learning MVDR Beamformer For Target Speech Separation (2020)
  Zhuohuang Zhang, Yong Xu, Meng Yu, et al.
  15.00
• Dual-branch Attention-in-attention Transformer For Single-channel Speech Enhancement (2021)
  Guochen Yu, Andong Li, Chengshi Zheng, et al.
  14.83
• Improving Speaker Discrimination Of Target Speech Extraction With Time-domain Speakerbeam (2020)
  Marc Delcroix, Tsubasa Ochiai, Katerina Zmolikova, et al.
  14.76
• Deep Clustering And Conventional Networks For Music Separation: Stronger Together (2016)
  Yi Luo, Zhuo Chen, John R. Hershey, et al.
  14.76
• Time Domain Audio Visual Speech Separation (2019)
  Jian Wu, Yong Xu, Shi-Xiong Zhang, et al.
  14.62
• Gated Recurrent Fusion With Joint Training Framework For Robust End-to-end Speech Recognition (2020)
  Cunhang Fan, Jiangyan Yi, Jianhua Tao, et al.
  14.55
• Weighted Speech Distortion Losses For Neural-network-based Real-time Speech Enhancement (2020)
  Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, et al.
  14.51
• Contextual Audio-visual Switching For Speech Enhancement In Real-world Environments (2018)
  Ahsan Adeel, Mandar Gogate, Amir Hussain
  14.35
• DPCRN: Dual-path Convolution Recurrent Network For Single Channel Speech Enhancement (2021)
  Xiaohuai Le, Hongsheng Chen, Kai Chen, et al.
  14.35
• Speech Denoising With Deep Feature Losses (2018)
  Francois G. Germain, Qifeng Chen, Vladlen Koltun
  14.23
• Speech Enhancement Using Multi-stage Self-attentive Temporal Convolutional Networks (2021)
  Ju Lin, Adriaan J. van Wijngaarden, Kuang-Ching Wang, et al.
  14.15
• A Unified Convolutional Beamformer For Simultaneous Denoising And Dereverberation (2018)
  Tomohiro Nakatani, Keisuke Kinoshita
  14.15
• Wavecrn: An Efficient Convolutional Recurrent Neural Network For End-to-end Speech Enhancement (2020)
  Tsun-An Hsieh, Hsin-Min Wang, Xugang Lu, et al.
  14.02
• A Recurrent Variational Autoencoder For Speech Enhancement (2019)
  Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, et al.
  13.97