activity
20152022
most citedThe Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures

38 citations · 265 across the 38 of their papers we have counts for

collaborators

55 papers

cs.SD20222 cited

JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE

Yueh-Kao Wu, Ching-Yu Chiu, Yi-Hsuan Yang

This paper proposes a model that generates a drum track in the audio domain to play along to a user-provided drum-free recording. Specifically, using paired data of drumless tracks…

eess.AS20224 cited

An Analysis Method for Metric-Level Switching in Beat Tracking

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…

cs.CR20228 cited

Single-Use Delegatable Signatures Based on Smart Contracts

Stephan Krenn, Thomas Lorünser

Delegation of cryptographic signing rights has found many application in the literature and the real world. However, despite very advanced functionalities and specific use cases, e…

cs.SD20222 cited

Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation

Yen-Tung Yeh, Bo-Yu Chen, Yi-Hsuan Yang

While generative adversarial networks (GANs) have been widely used in research on audio generation, the training of a GAN model is known to be unstable, time consuming, and data in…

cs.SD2022

towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model

Yu-Hua Chen, Wen-Yi Hsiao, Tsu-Kuang Hsieh +2

In this paper, we propose a new dataset named EGDB, that con-tains transcriptions of the electric guitar performance of 240 tab-latures rendered with different tones. Moreover, we…

cs.SD2021

Learning To Generate Piano Music With Sustain Pedals

Joann Ching, Yi-Hsuan Yang

Recent years have witnessed a growing interest in research related to the detection of piano pedals from audio signals in the music information retrieval community. However, to our…