Yun-Ning Hung

According to our database, Yun-Ning Hung authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Foundation Model for Music Informatics.

Minz Won, Yun-Ning Hung, Duc Le

Proceedings of the IEEE International Conference on Acoustics, 2024

Music Source Separation With Band-Split Rope Transformer.

Wei Tsung Lu, Ju-Chiang Wang, Qiuqiang Kong, Yun-Ning Hung

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Scaling Up Music Information Retrieval Training with Semi-Supervised Learning.

Yun-Ning Hung, Ju-Chiang Wang, Minz Won, Duc Le

CoRR, 2023

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

Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans

CoRR, 2023

Multitrack Music Transcription with a Time-Frequency Perceiver.

Wei Tsung Lu, Ju-Chiang Wang, Yun-Ning Hung

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming.

Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A large TV dataset for speech and music activity detection.

Yun-Ning Hung, Chih-Wei Wu, Iroro Orife, Aaron Hipple, William Wolcott, Alexander Lerch

EURASIP J. Audio Speech Music. Process., 2022

MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data.

Ju-Chiang Wang, Jordan B. L. Smith, Yun-Ning Hung

CoRR, 2022

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming.

Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch

CoRR, 2022

To Catch A Chorus, Verse, Intro, or Anything Else: Analyzing a Song with Structural Functions.

Ju-Chiang Wang, Yun-Ning Hung, Jordan B. L. Smith

Proceedings of the IEEE International Conference on Acoustics, 2022

Modeling Beats and Downbeats with a Time-Frequency Transformer.

Yun-Ning Hung, Ju-Chiang Wang, Xuchen Song, Wei Tsung Lu, Minz Won

Proceedings of the IEEE International Conference on Acoustics, 2022

Feature-informed Embedding Space Regularization For Audio Classification.

Yun-Ning Hung, Alexander Lerch

Proceedings of the 30th European Signal Processing Conference, 2022

2021

AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence.

Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu, Iroro Orife, Kelian Li, Pavan Seshadri, Junyoung Lee

CoRR, 2021

Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As Supervision.

Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multitask Learning for Instrument Activation Aware Music Source Separation.

Yun-Ning Hung, Alexander Lerch

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Score-informed Networks for Music Performance Assessment.

Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Musical Composition Style Transfer via Disentangled Timbre Representations.

Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multitask Learning for Frame-level Instrument Recognition.

Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Learning Disentangled Representations for Timber and Pitch in Music Audio.

Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang

CoRR, 2018

Frame-level Instrument Recognition by Timbre and Pitch.

Yun-Ning Hung, Yi-Hsuan Yang

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Hit Song Prediction for Pop Music by Siamese CNN with Ranking Loss.

Lang-Chi Yu, Yi-Hsuan Yang, Yun-Ning Hung, Yi-An Chen

CoRR, 2017