Wei Tsung Lu

According to our database, Wei Tsung Lu authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Mel-Band RoFormer for Music Source Separation.

Ju-Chiang Wang, Wei Tsung Lu, Minz Won

CoRR, 2023

Music Source Separation with Band-Split RoPE Transformer.

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

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

ALCAP: Alignment-Augmented Music Captioner.

Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A deep learning method for melody extraction from a polyphonic symbolic music representation.

Katerina Kosta, Wei Tsung Lu, Gabriele Medeot, Pierre Chanquion

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 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

2021

Supervised Metric Learning for Music Structure Feature.

Ju-Chiang Wang, Jordan B. L. Smith, Wei Tsung Lu, Xuchen Song

CoRR, 2021

Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience.

Wei Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Supervised Metric Learning For Music Structure Features.

Ju-Chiang Wang, Jordan B. L. Smith, Wei Tsung Lu, Xuchen Song

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

SpecTNT: a Time-Frequency Transformer for Music Audio.

Wei Tsung Lu, Ju-Chiang Wang, Minz Won, Keunwoo Choi, Xuchen Song

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2018

Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model.

Wei Tsung Lu, Li Su

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

Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning.

Wei Tsung Lu, Li Su

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

Deep Learning Models for Melody Perception: An Investigation on Symbolic Music Data.

Wei Tsung Lu, Li Su

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018