research
∙
07/31/2023
LP-MusicCaps: LLM-Based Pseudo Music Captioning
Automatic music captioning, which generates natural language description...
share
research
∙
03/25/2022
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music
Lack of large-scale note-level labeled data is the major obstacle to sin...
research
∙
08/09/2020
Metric Learning vs Classification for Disentangled Music Representation Learning
Deep representation learning offers a powerful paradigm for mapping inpu...
research
∙
08/09/2020
Disentangled Multidimensional Metric Learning for Music Similarity
Music similarity search is useful for a variety of creative tasks such a...
research
∙
07/23/2020
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music
Word embedding pioneered by Mikolov et al. is a staple technique for wor...
research
∙
07/05/2019
Zero-shot Learning for Audio-based Music Classification and Tagging
Audio-based music classification and tagging is typically based on categ...
research
∙
06/27/2019
Representation Learning of Music Using Artist, Album, and Track Information
Supervised music representation learning has been performed mainly using...
research
∙
06/20/2019
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
Music classification and tagging is conducted through categorical superv...
research
∙
07/24/2018
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
Artist recognition is a task of modeling the artist's musical style. Thi...
research
∙
07/18/2018
Deep Content-User Embedding Model for Music Recommendation
Recently deep learning based recommendation systems have been actively e...
research
∙
12/04/2017
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
Music, speech, and acoustic scene sound are often handled separately in ...
research
∙
10/28/2017
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
Recent work has shown that the end-to-end approach using convolutional n...
research
∙
10/18/2017
Representation Learning of Music Using Artist Labels
Recently, feature representation by learning algorithms has drawn great ...
research
∙
06/21/2017
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
Music tag words that describe music audio by text have different levels ...
research
∙
03/06/2017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Music auto-tagging is often handled in a similar manner to image classif...
research
∙
03/06/2017