OD-SLA-2.2

A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution

Weixin Meng, Chengshi Zheng, Xiaodong Li, Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Science, Beijing, 100190, China；University of Chinese Academy of Sciences, Beijing, China, China
Session:
Speech Enhancement
Track:
Speech, Language, and Audio (SLA)
Session Time:
Wed, 15 Dec, 14:40 - 16:40 Japan Standard Time (UTC +9)
Wed, 15 Dec, 05:40 - 07:40 Coordinated Universal Time
Wed, 15 Dec, 00:40 - 02:40 Eastern Standard Time (UTC -5)
Tue, 14 Dec, 21:40 - 23:40 Pacific Standard Time (UTC -8)
Session Chair:
Jun Du, University of Science and Technology of China
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Session OD-SLA-2
WE2.OD-A.1: CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism
Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Communication University of China, China; Chengshi Zheng, Institute of Acoustics, Chinese Academy of Sciences, China
WE2.OD-A.2: A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution
Weixin Meng, Chengshi Zheng, Xiaodong Li, Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Science, Beijing, 100190, China；University of Chinese Academy of Sciences, Beijing, China, China
WE2.OD-A.3: SPEECH ENHANCEMENT BASED ON MASKING APPROACH CONSIDERING SPEECH QUALITY AND ACOUSTIC CONFIDENCE FOR NOISY SPEECH RECOGNITION
Shih-Chuan Chu, Chung-Hsien Wu, Yun-Wen Lin, National Cheng Kung University, Taiwan
WE2.OD-A.4: DNN-BASED LINEAR PREDICTION RESIDUAL ENHANCEMENT FOR SPEECH DEREVERBERATION
Xinyang Feng, Nuo Li, Zunwen He, Yan Zhang, Wancheng Zhang, Beijing Institute of Technology, China
WE2.OD-A.5: Mandarin Electro-Laryngeal Speech Enhancement based on Statistical Voice Conversion and Manual Tone Control
Zhaopeng Qian, Haijun Niu, Shaochuan Zhang, Beihang University, China; Li Wang, Beijing Research Center of Urban System Engineering, China; Kazuhiro Kobayashi, Tomoki Toda, Nagoya University, Japan
WE2.OD-A.6: Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization
Lu Zhang, Mingjiang Wang, Zehua Zhang, Xuyi Zhuang, Harbin Institute of Technology, Shenzhen, China; Andong Li, Institute of Acoustics, Chinese Academy of Sciences, China
WE2.OD-A.7: Low-Power Convolutional Recurrent Neural Network For Monaural Speech Enhancement
Fei Gao, Haixin Guan, Unisound AI Technology Co. Ltd, China; , ,
WE2.OD-A.8: Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model
Quandong Wang, Junnan Wu, Zhao Yan, Sichong Qian, Liyong Guo, Lichun Fan, Weiji Zhuang, Peng Gao, Yujun Wang, Xiaomi Corporation, China
WE2.OD-A.9: Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement
Protima Nomo Sudro, Rohit Sinha, Indian Institute of Technology Guwahati, India; S R Mahadeva Prasanna, Indian Institute of Technology Dharwad, India
WE2.OD-A.10: Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Hiroshi Saruwatari, The University of Tokyo, Japan; Daichi Kitamura, National Institute of Technology, Japan; Masakazu Une, University of Tsukuba, Japan; Shoji Makino, Waseda University, Japan
WE2.OD-A.11: CAUSAL DISTORTIONLESS RESPONSE BEAMFORMING BY ALTERNATING DIRECTION METHOD OF MULTIPLIERS
Yoshiki Masuyama, Kouei Yamaoka, Yuma Kinoshita, Nobutaka Ono, Tokyo Metropolitan University​, Japan
WE2.OD-A.12: STACKED U-NET WITH HIGH-LEVEL FEATURE TRANSFER FOR PARAMETER EFFICIENT SPEECH ENHANCEMENT
Jinyoung Lee, Hong-Goo Kang, Yonsei University, Korea, Republic of
WE2.OD-A.13: EXTENSION OF VIRTUAL MICROPHONE TECHNIQUE TO MULTIPLE REAL MICROPHONES AND INVESTIGATION OF THE IMPACT OF PHASE AND AMPLITUDE INTERPOLATION ON SPEECH ENHANCEMENT
Hanako Segawa, Takeshi Yamada, University of Tsukuba, Japan; Li Li, NTT Corporation, Japan; Shoji Makino, University of Tsukuba, Waseda University, Japan
WE2.OD-A.14: Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources
Kohei Saijo, Tetsunori Kobayashi, Tetsuji Ogawa, Waseda University, Japan; Kazuhiro Katagiri, Masaru Fujieda, OKI Electric Industry Corporation, Japan
WE2.OD-A.15: IMPROVEMENTS TO NON-INTRUSIVE INTELLIGIBILITY PREDICTION FOR REVERBERANT SPEECH
Kazushi Nakazawa, Kazuhiro Kondo, Yamagata University, Japan