TU3.SC4.2
AUTOMATIC LIVE MUSIC SONG IDENTIFICATION USING MULTI-LEVEL DEEP SEQUENCE SIMILARITY LEARNING
Aapo Hakala, Tampere University, Finland; Trevor Kincy, Utopia Music, Switzerland; Tuomas Virtanen, Tampere University, Finland
Session:
TU3.SC4: Music Information Retrieval, Analysis and Processing Lecture
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
Saint Clair 4
Presentation Time:
Tue, 27 Aug, 16:50 - 17:10 France Time (UTC +1)
Session Chair:
Gaël Richard, Télécom Paris
Presentation
Discussion
Resources
No resources available.
Session TU3.SC4
TU3.SC4.1: TOWARDS ROBUST LOCAL KEY ESTIMATION WITH A MUSICALLY INSPIRED NEURAL NETWORK
Yiwei Ding, Georgia Institute of Technology, United States; Christof Weiß, University of Würzburg, Germany
TU3.SC4.2: AUTOMATIC LIVE MUSIC SONG IDENTIFICATION USING MULTI-LEVEL DEEP SEQUENCE SIMILARITY LEARNING
Aapo Hakala, Tampere University, Finland; Trevor Kincy, Utopia Music, Switzerland; Tuomas Virtanen, Tampere University, Finland
TU3.SC4.3: MOBILE-AMT: REAL-TIME POLYPHONIC PIANO TRANSCRIPTION FOR IN-THE-WILD RECORDINGS
Yuta Kusaka, Akira Maezawa, Yamaha Corporation, Japan
TU3.SC4.4: ON THE ROBUSTNESS OF MUSICAL TIMBRE PERCEPTION MODELS: FROM PERCEPTUAL TO LEARNED APPROACHES
Barbara Pascal, Mathieu Lagrange, Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France, France
TU3.SC4.5: SELF-SUPERVISED MEAN OPINION SCORE PREDICTION OF PHASE-VOCODER-BASED VIRTUAL BASS SYSTEM
Jiacheng Gou, University of Electronic Science and Technology of China, China; Yuheng Song, Hong Kong Polytechnic University, China; Chuang Shi, University of Southampton, United Kingdom; Huiyong Li, University of Electronic Science and Technology of China, China