AUD-13.1
Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content
Haici Yang, Minje Kim, Indiana University, United States of America; Sanna Wager, Spencer Russell, Mike Luo, Wontak Kim, Amazon Lab 126, United States of America
Session:
Spatial Audio I
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area K
Presentation Time:
Tue, 10 May, 20:00 - 20:45 China Time (UTC +8)
Tue, 10 May, 12:00 - 12:45 UTC
Tue, 10 May, 12:00 - 12:45 UTC
Session Chair:
Minje Kim, Indiana University
Session AUD-13
AUD-13.1: Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content
Haici Yang, Minje Kim, Indiana University, United States of America; Sanna Wager, Spencer Russell, Mike Luo, Wontak Kim, Amazon Lab 126, United States of America
AUD-13.2: SPATIAL MIXUP: DIRECTIONAL LOUDNESS MODIFICATION AS DATA AUGMENTATION FOR SOUND EVENT LOCALIZATION AND DETECTION
Ricardo Falcon Perez, Aalto University, Finland; Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji, Sony Group Corporation, Japan
AUD-13.3: TOWARDS FASTER CONTINUOUS MULTI-CHANNEL HRTF MEASUREMENTS BASED ON LEARNING SYSTEM MODELS
Tobias Kabzinski, Peter Jax, RWTH Aachen University, Germany
AUD-13.4: TOWARDS FAST AND CONVENIENT END-TO-END HRTF PERSONALIZATION
Bowen Zhi, Dmitry Zotkin, Ramani Duraiswami, VisiSonics Corporation, United States of America
AUD-13.5: BINAURAL REPRODUCTION BASED ON BILATERAL AMBISONICS AND EAR-ALIGNED HRTFS
Zamir Ben-Hur, David Alon, Ravish Mehra, Meta, United States of America; Boaz Rafaely, Ben-Gurion University of the Negev, Israel
AUD-13.6: WISHART LOCALIZATION PRIOR ON SPATIAL COVARIANCE MATRIX IN AMBISONIC SOURCE SEPARATION USING NON-NEGATIVE TENSOR FACTORIZATION
Mateusz Guzik, Konrad Kowalczyk, AGH University of Science and Technology, Poland