Login Paper Search My Schedule Paper Index Help

My ICASSP 2017 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-L7: Music Information Retrieval and Processing

Session Type: Lecture
Time: Thursday, March 9, 13:30 - 15:30
Location: Grand Salon 15
Session Chairs: Bryan Pardo, and Michael Mandel ,
 
  AASP-L7.1: AN EVALUATION OF SCORE-INFORMED METHODS FOR ESTIMATING FUNDAMENTAL FREQUENCY AND POWER FROM POLYPHONIC AUDIO
         Johanna Devaney; The Ohio State University
         Michael I Mandel; Brooklyn College, CUNY
 
  AASP-L7.2: ESTIMATION OF MULTIPLE PITCHES IN STEREOPHONIC MIXTURES USING A CODEBOOK-BASED APPROACH
         Martin Weiss Hansen; Aalborg University
         Jesper Rindom Jensen; Aalborg University
         Mads Græsbøll Christensen; Aalborg University
 
  AASP-L7.3: PITCH CONTOUR TRACKING IN MUSIC USING HARMONIC LOCKED LOOPS
         Rachel Bittner; New York University
         Avery Wang; Shazam Inc.
         Juan Pablo Bello; New York University
 
  AASP-L7.4: DATA-DRIVEN SOLO VOICE ENHANCEMENT FOR JAZZ MUSIC RETRIEVAL
         Stefan Balke; International Audio Laboratories Erlangen
         Christian Dittmar; International Audio Laboratories Erlangen
         Jakob Abeßer; Fraunhofer Institute for Digital Media Technology IDMT
         Meinard Mueller; International Audio Laboratories Erlangen
 
  AASP-L7.5: DRUM TRANSCRIPTION FROM POLYPHONIC MUSIC WITH RECURRENT NEURAL NETWORKS
         Richard Vogl; Johannes Kepler University
         Matthias Dorfer; Johannes Kepler University
         Peter Knees; Vienna University of Technology
 
  AASP-L7.6: SEGMENTATION OF MUSIC SIGNALS BASED ON EXPLAINED VARIANCE RATIO FOR APPLICATIONS IN SPECTRAL COMPLEXITY REDUCTION
         Ekaterina Krymova; Universität Duisburg-Essen
         Anil Nagathil; Ruhr-Universität Bochum
         Denis Belomestny; Universität Duisburg-Essen
         Rainer Martin; Ruhr-Universität Bochum