Technical Program

AASP-P1: Acoustic Environments and Music Analysis

Session Type: Poster
Time: Tuesday, May 14, 13:30 - 15:30
Location: Poster Area D, Ground Floor
Session Chair: Masataka Goto, AIST
 
AASP-P1.1: A HYBRID METHOD FOR BLIND ESTIMATION OF FREQUENCY DEPENDENT REVERBERATION TIME USING SPEECH SIGNALS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Song Li; Gottfried Wilhelm Leibniz Universität Hannover
         Roman Schlieper; Gottfried Wilhelm Leibniz Universität Hannover
         Jürgen Peissig; Gottfried Wilhelm Leibniz Universität Hannover
 
AASP-P1.2: ACOUSTIC IMPULSE RESPONSES FOR WEARABLE AUDIO DEVICES
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Ryan Corey; University of Illinois at Urbana-Champaign
         Naoki Tsuda; University of Illinois at Urbana-Champaign
         Andrew Singer; University of Illinois at Urbana-Champaign
 
AASP-P1.3: TRANSFERRING PIANO PERFORMANCE CONTROL ACROSS ENVIRONMENTS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Maoran Xu; University of Florida
         Ziyu Wang; New York University Shanghai
         Gus Xia; New York University Shanghai
 
AASP-P1.4: A SPARSITY MEASURE FOR ECHO DENSITY GROWTH IN GENERAL ENVIRONMENTS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Helena Peic Tukuljac; École Polytechnique Fédérale de Lausanne
         Ville Pulkki; Aalto University
         Hannes Gamper; Microsoft Research
         Keith Godin; Microsoft Research
         Ivan J. Tashev; Microsoft Research
         Nikunj Raghuvanshi; Microsoft Research
 
AASP-P1.5: BLIND ROOM VOLUME ESTIMATION FROM SINGLE-CHANNEL NOISY SPEECH
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Andrea Genovese; New York University
         Hannes Gamper; Microsoft Research
         Ville Pulkki; Aalto University
         Nikunj Raghuvanshi; Microsoft Research
         Ivan J. Tashev; Microsoft Research
 
AASP-P1.6: JOINT TRANSCRIPTION OF LEAD, BASS, AND RHYTHM GUITARS BASED ON A FACTORIAL HIDDEN SEMI-MARKOV MODEL
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Kentaro Shibata; Graduate School of Informatics, Kyoto University
         Ryo Nishikimi; Graduate School of Informatics, Kyoto University
         Satoru Fukayama; National Institute of Advanced Industrial Science and Technology (AIST)
         Masataka Goto; National Institute of Advanced Industrial Science and Technology (AIST)
         Eita Nakamura; Graduate School of Informatics, Kyoto University
         Katsutoshi Itoyama; Graduate School of Informatics, Kyoto University
         Kazuyoshi Yoshii; Graduate School of Informatics, Kyoto University
 
AASP-P1.7: PIANO SUSTAIN-PEDAL DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Beici Liang; Queen Mary University of London
         György Fazekas; Queen Mary University of London
         Mark Sandler; Queen Mary University of London
 
AASP-P1.8: DEEP POLYPHONIC ADSR PIANO NOTE TRANSCRIPTION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Rainer Kelz; Austrian Research Institute for Artificial Intelligence
         Sebastian Böck; Austrian Research Institute for Artificial Intelligence
         Gerhard Widmer; Johannes Kepler University Linz
 
AASP-P1.9: ZERO-MEAN CONVOLUTIONAL NETWORK WITH DATA AUGMENTATION FOR SOUND LEVEL INVARIANT SINGING VOICE SEPARATION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Kin Wah Lin; National Institute of Advanced Industrial Science and Technology (AIST)
         Masataka Goto; National Institute of Advanced Industrial Science and Technology (AIST)
 
AASP-P1.10: AUTOMATIC TRANSCRIPTION OF DIATONIC HARMONICA RECORDINGS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Filipe Lins; Universidade Federal do Rio Grande do Sul
         Marcelo Johann; Universidade Federal do Rio Grande do Sul
         Emmanouil Benetos; Queen Mary University of London
         Rodrigo Schramm; Universidade Federal do Rio Grande do Sul