b'Juhan Nam'

research

∙ 09/20/2023

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling

Lyric translation, a field studied for over a century, is now attracting...

0 Haven Kim, et al. ∙

research

∙ 08/26/2023

A Computational Evaluation Framework for Singable Lyric Translation

Lyric translation plays a pivotal role in amplifying the global resonanc...

0 Haven Kim, et al. ∙

research

∙ 07/31/2023

LP-MusicCaps: LLM-Based Pseudo Music Captioning

Automatic music captioning, which generates natural language description...

0 Seungheon Doh, et al. ∙

research

∙ 06/25/2023

PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection

Professional vocalists modulate their voice timbre or pitch to make thei...

0 Yuya Yamamoto, et al. ∙

research

∙ 05/23/2023

A study of audio mixing methods for piano transcription in violin-piano ensembles

While piano music transcription models have shown high performance for s...

0 Hyemi Kim, et al. ∙

research

∙ 04/12/2023

A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription

Note-level automatic music transcription is one of the most representati...

0 Sangeon Yong, et al. ∙

research

∙ 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. ∙

research

∙ 01/14/2023

Music Playlist Title Generation Using Artist Information

Automatically generating or captioning music playlist titles given a set...

0 Haven Kim, et al. ∙

research

∙ 11/29/2022

Neural Vocoder Feature Estimation for Dry Singing Voice Separation

Singing voice separation (SVS) is a task that separates singing voice au...

0 Jaekwon Im, et al. ∙

research

∙ 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. ∙

research

∙ 11/14/2022

YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations

Existing multi-instrumental datasets tend to be biased toward pop and cl...

0 Eunjin Choi, et al. ∙

research

∙ 11/07/2022

Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words

Wake-up words (WUW) is a short sentence used to activate a speech recogn...

0 Taesu Kim, et al. ∙

research

∙ 10/31/2022

Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers

In this paper, we focus on singing techniques within the scope of music ...

0 Yuya Yamamoto, et al. ∙

research

∙ 06/24/2022

Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification

Singing techniques are used for expressive vocal performances by employi...

0 Yuya Yamamoto, et al. ∙

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...

0 Sangeun Kum, et al. ∙

research

∙ 10/13/2021

A Melody-Unsupervision Model for Singing Voice Synthesis

Recent studies in singing voice synthesis have achieved high-quality res...

9 Soonbeom Choi, et al. ∙

research

∙ 10/03/2021

Music Playlist Title Generation: A Machine-Translation Approach

We propose a machine-translation approach to automatically generate a pl...

0 Seungheon Doh, et al. ∙

research

∙ 08/03/2021

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

While there are many music datasets with emotion labels in the literatur...

0 Hsiao-Tzu Hung, et al. ∙

research

∙ 07/11/2021

PocketVAE: A Two-step Model for Groove Generation and Control

Creating a good drum track to imitate a skilled performer in digital aud...

0 Kyungyun Lee, et al. ∙

research

∙ 10/02/2020

Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model

Recent advances in polyphonic piano transcription have been made primari...

0 Taegyun Kwon, et al. ∙

research

∙ 08/24/2020

A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment

A DJ mix is a sequence of music tracks concatenated seamlessly, typicall...

0 Taejun Kim, et al. ∙

research

∙ 08/14/2020

Semi-supervised learning using teacher-student models for vocal melody extraction

The lack of labeled data is a major obstacle in many music information r...

0 Sangeun Kum, et al. ∙

research

∙ 08/09/2020

Metric Learning vs Classification for Disentangled Music Representation Learning

Deep representation learning offers a powerful paradigm for mapping inpu...

0 Jongpil Lee, et al. ∙

research

∙ 08/09/2020

Disentangled Multidimensional Metric Learning for Music Similarity

Music similarity search is useful for a variety of creative tasks such a...

0 Jongpil Lee, et al. ∙

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...

0 Seungheon Doh, et al. ∙

research

∙ 10/30/2019

Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting

While end-to-end learning has become a trend in deep learning, the model...

0 Taejun Kim, et al. ∙

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...

0 Jeong Choi, et al. ∙

research

∙ 06/27/2019

Representation Learning of Music Using Artist, Album, and Track Information

Supervised music representation learning has been performed mainly using...

0 Jongpil Lee, et al. ∙

research

∙ 06/26/2019

Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice

Previous approaches in singer identification have used one of monophonic...

0 Kyungyun Lee, et al. ∙

research

∙ 06/20/2019

Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging

Music classification and tagging is conducted through categorical superv...

0 Jeong Choi, et al. ∙

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...

0 Jiyoung Park, et al. ∙

research

∙ 07/18/2018

Deep Content-User Embedding Model for Music Recommendation

Recently deep learning based recommendation systems have been actively e...

0 Jongpil Lee, et al. ∙

research

∙ 06/04/2018

Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook

Since the vocal component plays a crucial role in popular music, singing...

0 Kyungyun Lee, et al. ∙

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 ...

0 Jongpil Lee, et al. ∙

research

∙ 11/13/2017

Audio-to-score alignment of piano music using RNN-based automatic music transcription

We propose a framework for audio-to-score alignment on piano performance...

0 Taegyun Kwon, et al. ∙

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...

0 Taejun Kim, et al. ∙

research

∙ 10/18/2017

Representation Learning of Music Using Artist Labels

Recently, feature representation by learning algorithms has drawn great ...

0 Jiyoung Park, et al. ∙

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 ...

0 Jongpil Lee, et al. ∙

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...

0 Jongpil Lee, et al. ∙

research

∙ 03/06/2017

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Recently, the end-to-end approach that learns hierarchical representatio...

0 Jongpil Lee, et al. ∙

research

∙ 08/20/2015

A Deep Bag-of-Features Model for Music Auto-Tagging

Feature learning and deep learning have drawn great attention in recent ...

0 Juhan Nam, et al. ∙

Juhan Nam

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