Speech Enhancement

Papers

• Hubert: Self-supervised Speech Representation Learning By Masked Prediction Of Hidden Units (2021)
  Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.
  25.30
• 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
• DCCRN: Deep Complex Convolution Recurrent Network For Phase-aware Speech Enhancement (2020)
  Yanxin Hu, Yun Liu, Shubo Lv, et al.
  20.78
• VQMIVC: Vector Quantization And Mutual Information-based Unsupervised Speech Representation Disentanglement For One-shot Voice Conversion (2021)
  Disong Wang, Liqun Deng, Yu Ting Yeung, et al.
  20.31
• 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
• 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
• The 2020 Espnet Update: New Features, Broadened Applications, Performance Improvements, And Future Plans (2020)
  Shinji Watanabe, Florian Boyer, Xuankai Chang, et al.
  18.20
• 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
• Audio-visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks (2017)
  Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, et al.
  17.39
• An Unsupervised Autoregressive Model For Speech Representation Learning (2019)
  Yu-An Chung, Wei-Ning Hsu, Hao Tang, et al.
  17.26
• Mockingjay: Unsupervised Speech Representation Learning With Deep Bidirectional Transformer Encoders (2019)
  Andy T. Liu, Shu-Wen Yang, Po-Han Chi, et al.
  17.26
• 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
• Layer-wise Analysis Of A Self-supervised Speech Representation Model (2021)
  Ankita Pasad, Ju-Chieh Chou, Karen Livescu
  17.07
• 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
• Speech Emotion Recognition With Global-aware Fusion On Multi-scale Feature Representation (2022)
  Wenjing Zhu, Xiang Li
  16.53
• Speech Resynthesis From Discrete Disentangled Self-supervised Representations (2021)
  Adam Polyak, Yossi Adi, Jade Copet, et al.
  16.25
• Speech Emotion Recognition With Co-attention Based Multi-level Acoustic Information (2022)
  Heqing Zou, Yuke Si, Chen Chen, et al.
  16.17
• Exploring Speech Enhancement With Generative Adversarial Networks For Robust Speech Recognition (2017)
  Chris Donahue, Bo Li, Rohit Prabhavalkar
  16.14
• 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
• Speech Emotion Recognition With Dual-sequence LSTM Architecture (2019)
  Jianyou Wang, Michael Xue, Ryan Culhane, et al.
  15.78
• 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
• Learning Problem-agnostic Speech Representations From Multiple Self-supervised Tasks (2019)
  Santiago Pascual, Mirco Ravanelli, Joan Serrà, et al.
  15.54
• 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
• Lighthubert: Lightweight And Configurable Speech Representation Learning With Once-for-all Hidden-unit BERT (2022)
  Rui Wang, Qibing Bai, Junyi Ao, et al.
  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
• VERSA: A Versatile Evaluation Toolkit For Speech, Audio, And Music (2024)
  Jiatong Shi, Hye-Jin Shim, Jinchuan Tian, et al.
  15.28
• Large-scale Self-supervised Speech Representation Learning For Automatic Speaker Verification (2021)
  Zhengyang Chen, Sanyuan Chen, Yu Wu, et al.
  15.25
• CMGAN: Conformer-based Metric GAN For Speech Enhancement (2022)
  Ruizhe Cao, Sherif Abdulatif, Bin Yang
  15.13
• Fullsubnet+: Channel Attention Fullsubnet With Complex Spectrograms For Speech Enhancement (2022)
  Jun Chen, Zilin Wang, Deyi Tuo, et al.
  15.10
• Distilhubert: Speech Representation Learning By Layer-wise Distillation Of Hidden-unit BERT (2021)
  Heng-Jui Chang, Shu-Wen Yang, Hung-Yi Lee
  15.06
• 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
• Dual-branch Attention-in-attention Transformer For Single-channel Speech Enhancement (2021)
  Guochen Yu, Andong Li, Chengshi Zheng, et al.
  14.83
• CMGAN: Conformer-based Metric-gan For Monaural Speech Enhancement (2022)
  Sherif Abdulatif, Ruizhe Cao, Bin Yang
  14.80
• 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 Enhancement Using Multi-stage Self-attentive Temporal Convolutional Networks (2021)
  Ju Lin, Adriaan J. van Wijngaarden, Kuang-Ching Wang, et al.
  14.15
• The Partialspoof Database And Countermeasures For The Detection Of Short Fake Speech Segments Embedded In An Utterance (2022)
  Lin Zhang, Xin Wang, Erica Cooper, et al.
  14.06
• 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