2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-23: Applications in Music and Audio Processing

Session Type: Poster
Time: Wednesday, 9 June, 16:30 - 17:15
Location: Gather.Town
 
MLSP-23.1: SINGER IDENTIFICATION USING DEEP TIMBRE FEATURE LEARNING WITH KNN-NET
         Xulong Zhang; Fudan University
         Jiale Qian; Fudan University
         Yi Yu; National Institute of Informatics
         Yifu Sun; Fudan University
         Wei Li; Fudan University
 
MLSP-23.2: IMPLICIT HRTF MODELING USING TEMPORAL CONVOLUTIONAL NETWORKS
         Israel D Gebru; Facebook Reality Labs Research
         Dejan Markovic; Facebook Reality Labs Research
         Alexander Richard; Facebook Reality Labs Research
         Steven Krenn; Facebook Reality Labs Research
         Gladstone Butler; Facebook Reality Labs Research
         Fernando De la Torre; Facebook Reality Labs Research
         Yaser Sheikh; Facebook Reality Labs Research
 
MLSP-23.3: GROOVE2GROOVE: ONE-SHOT MUSIC STYLE TRANSFER WITH SUPERVISION FROM SYNTHETIC DATA
         Ondřej Cífka; Télécom Paris, Institut Polytechnique de Paris
         Umut Şimşekli; INRIA; Télécom Paris, Institut Polytechnique de Paris
         Gaël Richard; Télécom Paris, Institut Polytechnique de Paris
 
MLSP-23.4: IMPROVING THE CLASSIFICATION OF RARE CHORDS WITH UNLABELED DATA
         Marcelo Bortolozzo; UFRGS
         Rodrigo Schramm; UFRGS
         Claudio R. Jung; UFRGS
 
MLSP-23.5: LOOPNET: MUSICAL LOOP SYNTHESIS CONDITIONED ON INTUITIVE MUSICAL PARAMETERS
         Pritish Chandna; Universitat Pompeu Fabra
         Antonio Ramires; Universitat Pompeu Fabra
         Xavier Serra; Universitat Pompeu Fabra
         Emilia Gómez; Universitat Pompeu Fabra
 
MLSP-23.6: MICAUGMENT: ONE-SHOT MICROPHONE STYLE TRANSFER
         Zalán Borsos; ETH Zurich
         Yunpeng Li; Google
         Beat Gfeller; Google
         Marco Tagliasacchi; Google