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Hao-Chung Cheng

4 papers hereh-index 355 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD4
same name
  • Hao-Chung Cheng — 12 papers, h 6
  • Hao-Chung Cheng — 7 papers, h 2
  • Hao-Chung Cheng — 3 papers, h 2
  • Hao-Chung Cheng — 2 papers, h 3
  • Hao-Chung Cheng — 1 paper, h 1
  • Hao-Chung Cheng — 1 paper, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.SD2026

MIDI-Informed Singing Accompaniment Generation in a Compositional Song Pipeline

Fang-Duo Tsai, Yi-An Lai, Fei-Yueh Chen +4

While end-to-end lyrics-to-song models offer convenience for casual users, professional songwriters require score-to-song systems that allow them to retain authorship over the core…

cs.SD2025

MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners

Fang-Duo Tsai, Shih-Lun Wu, Weijaw Lee +4

We propose MuseControlLite, a lightweight mechanism designed to fine-tune text-to-music generation models for precise conditioning using various time-varying musical attributes and…

cs.SD2024

Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning

Fang-Duo Tsai, Shih-Lun Wu, Haven Kim +3

Text-to-music models allow users to generate nearly realistic musical audio with textual commands. However, editing music audios remains challenging due to the conflicting desidera…

cs.SD2024

MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation

Yun-Han Lan, Wen-Yi Hsiao, Hao-Chung Cheng +1

Existing text-to-music models can produce high-quality audio with great diversity. However, textual prompts alone cannot precisely control temporal musical features such as chords…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.