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WE1.I: Music Information Retrieval II

Session Type: Poster
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Session Chair: Nicholas J. Bryan, Adobe Research
 
   WE1.I.1: AUTOMATIC LYRICS ALIGNMENT AND TRANSCRIPTION IN POLYPHONIC MUSIC: DOES BACKGROUND MUSIC HELP?
         Chitralekha Gupta; National University of Singapore
         Emre Yilmaz; National University of Singapore
         Haizhou Li; National University of Singapore
 
   WE1.I.2: LOCAL KEY ESTIMATION IN CLASSICAL MUSIC RECORDINGS: A CROSS-VERSION STUDY ON SCHUBERT’S WINTERREISE
         Hendrik Schreiber; International Audio Laboratories Erlangen
         Christof Weiß; International Audio Laboratories Erlangen
         Meinard Müller; International Audio Laboratories Erlangen
 
   WE1.I.3: IMPROVING MUSIC TRANSCRIPTION BY PRE-STACKING A U-NET
         Fabrizio Pedersoli; University of Victoria
         George Tzanetakis; University of Victoria
         Kwang Moo Yi; University of Victoria
 
   WE1.I.4: LEARNING TO RANK MUSIC TRACKS USING TRIPLET LOSS
         Laure Prétet; Creaminal
         Gaël Richard; LTCI, Télécom Paris
         Geoffroy Peeters; LTCI, Télécom Paris
 
   WE1.I.5: TRANSFORMER VAE: A HIERARCHICAL MODEL FOR STRUCTURE-AWARE AND INTERPRETABLE MUSIC REPRESENTATION LEARNING
         Junyan Jiang; Carnegie Mellon University
         Gus Xia; New York University Shanghai
         Dave Carlton; Hooktheory, LLC
         Chris Anderson; Hooktheory, LLC
         Ryan Miyakawa; Hooktheory, LLC
 
   WE1.I.6: A COMPARATIVE STUDY OF WESTERN AND CHINESE CLASSICAL MUSIC BASED ON SOUNDSCAPE MODELS
         Jianyu Fan; Simon Fraser University
         Yi-Hsuan Yang; Academia Sinica
         Kui Dong; Dartmouth College
         Philippe Pasquier; Simon Fraser University
 
   WE1.I.7: AUDIO-BASED DETECTION OF EXPLICIT CONTENT IN MUSIC
         Andrea Vaglio; Deezer Research & Development / LTCI, Télécom Paris, Institut Polytechnique de Paris
         Romain Hennequin; Deezer Research & Development
         Manuel Moussallam; Deezer Research & Development
         Gaël Richard; LTCI, Télécom Paris, Institut Polytechnique de Paris
         Florence d'Alché-Buc; LTCI, Télécom Paris, Institut Polytechnique de Paris
 
   WE1.I.8: NEW METRICS FOR EVALUATING THE ACCURACY OF FUNDAMENTAL FREQUENCY ESTIMATION APPROACHES IN MUSICAL SIGNALS
         Johanna Devaney; Brooklyn College, City University of New York
 
   WE1.I.9: DATA-DRIVEN HARMONIC FILTERS FOR AUDIO REPRESENTATION LEARNING
         Minz Won; Universitat Pompeu Fabra
         Sanghyuk Chun; Naver Corporation
         Oriol Nieto; Pandora Media Inc.
         Xavier Serra; Universitat Pompeu Fabra
 
   WE1.I.10: LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK
         Zhesong Yu; Peking University
         Xiaoshuo Xu; Peking University
         Xiaoou Chen; Peking University
         Deshun Yang; Peking University
 
   WE1.I.11: TOWARDS LINKING THE LAKH AND IMSLP DATASETS
         TJ Tsai; Harvey Mudd College
 
   WE1.I.12: A MULTI-DILATION AND MULTI-RESOLUTION FULLY CONVOLUTIONAL NETWORK FOR SINGING MELODY EXTRACTION
         Ping Gao; National Chiao Tung University
         Cheng-You You; National Chiao Tung University
         Tai-Shih Chi; National Chiao Tung University