ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2508.03448
  4. Cited By
SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
v1v2v3 (latest)

SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering

5 August 2025
J. Melechovský
Ambuj Mehrish
Abhinaba Roy
Dorien Herremans
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)Github (121★)

Papers citing "SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering"

2 / 2 papers shown
MSRBench: A Benchmarking Dataset for Music Source Restoration
MSRBench: A Benchmarking Dataset for Music Source Restoration
Yongyi Zang
Jiarui Hai
Wanying Ge
Qiuqiang Kong
Zheqi Dai
Helin Wang
Yuki Mitsufuji
Mark D. Plumbley
156
1
0
13 Oct 2025
Prevailing Research Areas for Music AI in the Era of Foundation Models
Prevailing Research Areas for Music AI in the Era of Foundation Models
Megan Wei
M. Modrzejewski
Aswin Sivaraman
Dorien Herremans
MedIm
430
3
0
14 Sep 2024
1