Login Paper Search My Schedule Paper Index Help

My ICASSP 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

AASP-P4: Source Separation and Music Information Retrieval

Session Type: Poster
Time: Tuesday, May 14, 17:30 - 19:30
Location: Poster Area E, Meeting Room 1A
Session Chair: Nima Mesgarani, Columbia University
 
  AASP-P4.1: BOOTSTRAPPING SINGLE-CHANNEL SOURCE SEPARATION VIA UNSUPERVISED SPATIAL CLUSTERING ON STEREO MIXTURES
         Prem Seetharaman; Northwestern University
         Gordon Wichern; Mitsubishi Electric Research Laboratories
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
         Bryan Pardo; Northwestern University
 
  AASP-P4.2: ONLINE DEEP ATTRACTOR NETWORK FOR REAL-TIME SINGLE-CHANNEL SPEECH SEPARATION
         Cong Han; Columbia University in the City of New York
         Yi Luo; Columbia University in the City of New York
         Nima Mesgarani; Columbia University in the City of New York
 
  AASP-P4.3: MULTI-MODAL BLIND SOURCE SEPARATION WITH MICROPHONES AND BLINKIES
         Robin Scheibler; Tokyo Metropolitan University
         Nobutaka Ono; Tokyo Metropolitan University
 
  AASP-P4.4: FASTMNMF: JOINT DIAGONALIZATION BASED ACCELERATED ALGORITHMS FOR MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION
         Nobutaka Ito; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
 
  AASP-P4.5: INCREMENTAL BINARIZATION ON RECURRENT NEURAL NETWORKS FOR SINGLE-CHANNEL SOURCE SEPARATION
         Sunwoo Kim; Indiana University Bloomington
         Mrinmoy Maity; Indiana University Bloomington
         Minje Kim; Indiana University Bloomington
 
  AASP-P4.6: MULTITASK LEARNING FOR FRAME-LEVEL INSTRUMENT RECOGNITION
         Yun-Ning Hung; Academia Sinica
         Yi-An Chen; KKBOX Inc.
         Yi-Hsuan Yang; Academia Sinica
 
  AASP-P4.7: ENHANCING MUSIC FEATURES BY KNOWLEDGE TRANSFER FROM USER-ITEM LOG DATA
         Donmoon Lee; Seoul National University
         Jaejun Lee; Seoul National University
         Jeongsoo Park; Cochlear.ai
         Kyogu Lee; Seoul National University
 
  AASP-P4.8: TRANSDRUMS: A DRUM PATTERN TRANSFER SYSTEM PRESERVING GLOBAL PATTERN STRUCTURE
         Shun Sawada; Future University Hakodate
         Satoru Fukayama; National Institute of Advanced Industrial Science and Technology (AIST)
         Masataka Goto; National Institute of Advanced Industrial Science and Technology (AIST)
         Keiji Hirata; Future University Hakodate
 
  AASP-P4.9: AUTOMATIC LYRICS-TO-AUDIO ALIGNMENT ON POLYPHONIC MUSIC USING SINGING-ADAPTED ACOUSTIC MODELS
         Bidisha Sharma; National University of Singapore
         Chitralekha Gupta; National University of Singapore
         Haizhou Li; National University of Singapore
         Ye Wang; National University of Singapore
 
  AASP-P4.10: TUNING FREQUENCY DEPENDENCY IN MUSIC CLASSIFICATION
         Yi Qin; ShanghaiTech University
         Alexander Lerch; Georgia Institute of Technology