Minz Won | DeepAI

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∙ 03/19/2023

Textless Speech-to-Music Retrieval Using Emotion Similarity

We introduce a framework that recommends music based on the emotions of ...

0 Seungheon Doh, et al. ∙

∙ 02/01/2023

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training

In this paper, we introduce Jointist, an instrument-aware multi-instrume...

0 Kin Wai Cheuk, et al. ∙

∙ 11/26/2022

Toward Universal Text-to-Music Retrieval

This paper introduces effective design choices for text-to-music retriev...

0 Seungheon Doh, et al. ∙

∙ 06/22/2022

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications

In this paper, we introduce Jointist, an instrument-aware multi-instrume...

5 Kin Wai Cheuk, et al. ∙

∙ 05/29/2022

Modeling Beats and Downbeats with a Time-Frequency Transformer

Transformer is a successful deep neural network (DNN) architecture that ...

0 Yun-Ning Hung, et al. ∙

∙ 11/26/2021

Emotion Embedding Spaces for Matching Music to Stories

Content creators often use music to enhance their stories, as it can be ...

0 Minz Won, et al. ∙

∙ 11/26/2021

Semi-Supervised Music Tagging Transformer

We present Music Tagging Transformer that is trained with a semi-supervi...

0 Minz Won, et al. ∙

∙ 11/23/2021

Music Classification: Beyond Supervised Learning, Towards Real-world Applications

Music classification is a music information retrieval (MIR) task to clas...

0 Minz Won, et al. ∙

∙ 10/18/2021

SpecTNT: a Time-Frequency Transformer for Music Audio

Transformers have drawn attention in the MIR field for their remarkable ...

13 Wei-Tsung Lu, et al. ∙

∙ 10/30/2020

Multimodal Metric Learning for Tag-based Music Retrieval

Tag-based music retrieval is crucial to browse large-scale music librari...

0 Minz Won, et al. ∙

∙ 10/22/2020

Mood Classification Using Listening Data

The mood of a song is a highly relevant feature for exploration and reco...

43 Filip Korzeniowski, et al. ∙

∙ 06/01/2020

Evaluation of CNN-based Automatic Music Tagging Models

Recent advances in deep learning accelerated the development of content-...

0 Minz Won, et al. ∙

∙ 11/11/2019

Visualizing and Understanding Self-attention based Music Tagging

Recently, we proposed a self-attention based music tagging model. Differ...

0 Minz Won, et al. ∙

∙ 06/12/2019

Toward Interpretable Music Tagging with Self-Attention

Self-attention is an attention mechanism that learns a representation by...

0 Minz Won, et al. ∙

∙ 05/05/2018

Transfer Learning of Artist Group Factors to Musical Genre Classification

The automated recognition of music genres from audio information is a ch...

0 Jaehun Kim, et al. ∙

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