5 papers · 1 filter
Music Similarity Representation Learning Focusing on Individual Instruments with Source Separation and Human Preference
Takehiro Imamura, Yuka Hashizume, Wen-Chin Huang +1
This paper proposes music similarity representation learning (MSRL) based on individual instrument sounds (InMSRL) utilizing music source separation (MSS) and human preference with…
Learning Separated Representations for Instrument-based Music Similarity
Yuka Hashizume, Li Li, Atsushi Miyashita +1
A flexible recommendation and retrieval system requires music similarity in terms of multiple partial elements of musical pieces to allow users to select the element they want to f…
Investigation of perceptual music similarity focusing on each instrumental part
Yuka Hashizume, Tomoki Toda
This paper presents an investigation of perceptual similarity between music tracks focusing on each individual instrumental part based on a large-scale listening test towards devel…
Learning Multidimensional Disentangled Representations of Instrumental Sounds for Musical Similarity Assessment
Yuka Hashizume, Li Li, Atsushi Miyashita +1
To achieve a flexible recommendation and retrieval system, it is desirable to calculate music similarity by focusing on multiple partial elements of musical pieces and allowing the…
Music Similarity Calculation of Individual Instrumental Sounds Using Metric Learning
Yuka Hashizume, Li Li, Tomoki Toda
The criteria for measuring music similarity are important for developing a flexible music recommendation system. Some data-driven methods have been proposed to calculate music simi…