AUD-7.1
COMPLEX-VALUED SPATIAL AUTOENCODERS FOR MULTICHANNEL SPEECH ENHANCEMENT
Mhd Modar Halimeh, Walter Kellermann, Friedrich–Alexander University Erlangen–Nürnberg, Germany
Session:
Signal Enhancement and Restoration I: Multichannel
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area K
Presentation Time:
Mon, 9 May, 20:00 - 20:45 China Time (UTC +8)
Mon, 9 May, 12:00 - 12:45 UTC
Mon, 9 May, 12:00 - 12:45 UTC
Session Chair:
Timo Gerkmann, University of Hamburg
Session AUD-7
AUD-7.1: COMPLEX-VALUED SPATIAL AUTOENCODERS FOR MULTICHANNEL SPEECH ENHANCEMENT
Mhd Modar Halimeh, Walter Kellermann, Friedrich–Alexander University Erlangen–Nürnberg, Germany
AUD-7.2: MULTICHANNEL NOISE REDUCTION USING DILATED MULTICHANNEL U-NET AND PRE-TRAINED SINGLE-CHANNEL NETWORK
Zhi-Wei Tan, Yuan Liu, Andy W. H. Khong, Nanyang Technological University, Singapore; Anh H. T. Nguyen, FPT Software, Viet Nam
AUD-7.3: ONE MODEL TO ENHANCE THEM ALL: ARRAY GEOMETRY AGNOSTIC MULTI-CHANNEL PERSONALIZED SPEECH ENHANCEMENT
Hassan Taherian, The Ohio State University, United States of America; Sefik Emre Eskimez, Takuya Yoshioka, Huaming Wang, Zhuo Chen, Xuedong Huang, Microsoft, United States of America
AUD-7.4: MULTI-CHANNEL SPEECH DENOISING FOR MACHINE EARS
Cong Han, Columbia University, United States of America; Merve Kaya, Kyle Hoefer, Simon Carlile, X Development, LLC, United States of America; Malcolm Slaney, Google, LLC, United States of America
AUD-7.5: LOCALIZATION BASED SEQUENTIAL GROUPING FOR CONTINUOUS SPEECH SEPARATION
Zhong-Qiu Wang, DeLiang Wang, The Ohio State University, United States of America
AUD-7.6: CONVOLUTIONAL WEIGHTED MINIMUM MEAN SQUARE ERROR FILTER FOR JOINT SOURCE SEPARATION AND DEREVERBERATION
Mieszko Fraś, Marcin Witkowski, Konrad Kowalczyk, AGH University of Science and Technology, Poland