Keunwoo Choi

Orcid: 0000-0002-5305-5342

Affiliations:
  • Spotify Inc., New York, NY, USA
  • Queen Mary University of London, School of Electronic Engineering and Computer Science, Centre for Digital Music, UK (PhD 2018)


According to our database1, Keunwoo Choi authored at least 43 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation.
CoRR, 2024

Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant.
CoRR, 2024

Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
The Biased Journey of MSD_AUDIO.ZIP.
CoRR, 2023

HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation.
CoRR, 2023

A Demand-Driven Perspective on Generative Audio AI.
CoRR, 2023

Room Impulse Response Estimation in a Multiple Source Environment.
CoRR, 2023

Foley Sound Synthesis at the DCASE 2023 Challenge.
CoRR, 2023

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training.
CoRR, 2023

LP-MusicCaps: LLM-Based Pseudo Music Captioning.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Medleyvox: An Evaluation Dataset for Multiple Singing Voices Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Toward Universal Text-To-Music Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Textless Speech-to-Music Retrieval Using Emotion Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Proposal for Foley Sound Synthesis Challenge.
CoRR, 2022

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications.
CoRR, 2022

2021
Music Classification: Beyond Supervised Learning, Towards Real-world Applications.
CoRR, 2021

Semi-supervised Music Tagging Transformer.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

SpecTNT: a Time-Frequency Transformer for Music Audio.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Listen, Read, and Identify: Multimodal Singing Language Identification of Music.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
Large-Scale MIDI-based Composer Classification.
CoRR, 2020

Deep Composer Classification Using Symbolic Representation.
CoRR, 2020

Dereverberation using joint estimation of dry speech signal and acoustic system.
CoRR, 2020

2019
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach.
IEEE Signal Process. Mag., 2019

Deep Unsupervised Drum Transcription.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

mirdata: Software for Reproducible Usage of Datasets.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018
Deep neural networks for music tagging.
PhD thesis, 2018

The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Revisiting Singing Voice Detection: A quantitative review and the future outlook.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
DLR : Toward a deep learned rhythmic representation for music content analysis.
CoRR, 2017

A Tutorial on Deep Learning for Music Information Retrieval.
CoRR, 2017

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras.
CoRR, 2017

On the Robustness of Deep Convolutional Neural Networks for Music Classification.
CoRR, 2017

Transfer Learning for Music Classification and Regression Tasks.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Convolutional recurrent neural networks for music classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Towards Music Captioning: Generating Music Playlist Descriptions.
CoRR, 2016

Explaining Deep Convolutional Neural Networks on Music Classification.
CoRR, 2016

Text-based LSTM networks for Automatic Music Composition.
CoRR, 2016

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions.
Proceedings of the Late-breaking Results, 2016

Automatic Tagging Using Deep Convolutional Neural Networks.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
Understanding Music Playlists.
CoRR, 2015


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