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My ICASSP 2019 Schedule

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AASP-P6: Music Signal Analysis and Multimedia

Session Type: Poster
Time: Wednesday, May 15, 08:30 - 10:30
Location: Poster Area E, Meeting Room 1A
Session Chair: Gaël Richard, TELECOM ParisTech
 
  AASP-P6.1: BAYESIAN DRUM TRANSCRIPTION BASED ON NONNEGATIVE MATRIX FACTOR DECOMPOSITION WITH A DEEP SCORE PRIOR
         Shun Ueda; Kyoto University
         Kentaro Shibata; Kyoto University
         Yusuke Wada; Kyoto University
         Ryo Nishikimi; Kyoto University
         Eita Nakamura; Kyoto University
         Kazuyoshi Yoshii; Kyoto University
 
  AASP-P6.2: A UNIFIED NEURAL ARCHITECTURE FOR INSTRUMENTAL AUDIO TASKS
         Steven Spratley; The University of Melbourne
         Daniel Beck; The University of Melbourne
         Trevor Cohn; The University of Melbourne
 
  AASP-P6.3: AUTOMATIC SINGING EVALUATION WITHOUT REFERENCE MELODY USING BI-DENSE NEURAL NETWORK
         Ning Zhang; Kwai
         Tao Jiang; Kwai
         Feng Deng; Kwai
         Yan Li; Kwai
 
  AASP-P6.4: DEEP LEARNING FOR TUBE AMPLIFIER EMULATION
         Eero-Pekka Damskägg; Aalto University
         Lauri Juvela; Aalto University
         Etienne Thuillier; Aalto University
         Vesa Välimäki; Aalto University
 
  AASP-P6.5: INTONATION: A DATASET OF QUALITY VOCAL PERFORMANCES REFINED BY SPECTRAL CLUSTERING ON PITCH CONGRUENCE
         Sanna Wager; Indiana University Bloomington
         George Tzanetakis; University of Victoria
         Stefan Sullivan; Smule, Inc
         Cheng-i Wang; Smule, Inc
         John Shimmin; Smule, Inc
         Minje Kim; Indiana University Bloomington
         Perry Cook; Smule, Inc
 
  AASP-P6.6: A MUSIC STRUCTURE INFORMED DOWNBEAT TRACKING SYSTEM USING SKIP-CHAIN CONDITIONAL RANDOM FIELDS AND DEEP LEARNING
         Magdalena Fuentes; CNRS-Univ.Paris-Sud-CentraleSupélec, Télécom ParisTech, University Paris-Saclay
         Brian McFee; New York University
         Hélène Crayencour; CNRS-Univ.Paris-Sud-CentraleSupélec
         Slim Essid; Télécom ParisTech, Univ. Paris-Saclay
         Juan Pablo Bello; New York University
 
  AASP-P6.7: FUNDAMENTAL FREQUENCY CONTOUR CLASSIFICATION: A COMPARISON BETWEEN HAND-CRAFTED AND CNN-BASED FEATURES
         Jakob Abeßer; Fraunhofer IDMT
         Meinard Müller; International Audio Laboratories
 
  AASP-P6.8: OVERLAP-ADD WINDOWS WITH MAXIMUM ENERGY CONCENTRATION FOR SPEECH AND AUDIO PROCESSING
         Tom Bäckström; Aalto University
 
  AASP-P6.9: TOWARDS AUDIO TO SCENE IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORK
         Chia-Hung Wan; National Taiwan University
         Shun-Po Chuang; National Taiwan University
         Hung-Yi Lee; National Taiwan University
 
  AASP-P6.10: DISCRIMINATE NATURAL VERSUS LOUDSPEAKER EMITTED SPEECH
         Thanh-Ha Le; Eurecom
         Philippe Gilberton; Technicolor
         Quang-Khanh-Ngoc Duong; Technicolor
 
  AASP-P6.11: SINGING VOICE SEPARATION: A STUDY ON TRAINING DATA
         Laure Prétet; Télécom ParisTech, Deezer
         Romain Hennequin; Deezer
         Jimena Royo-Letelier; Deezer
         Andrea Vaglio; Télécom ParisTech, Deezer