My ICASSP 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
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-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

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

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

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

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

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

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

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

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

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

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