ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.13758
  4. Cited By
A study of audio mixing methods for piano transcription in violin-piano
  ensembles

A study of audio mixing methods for piano transcription in violin-piano ensembles

23 May 2023
Hyemi Kim
Jiyun Park
Taegyun Kwon
Dasaem Jeong
Juhan Nam
ArXivPDFHTML

Papers citing "A study of audio mixing methods for piano transcription in violin-piano ensembles"

3 / 3 papers shown
Title
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source
  Separation
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
Jaime Garcia-Martinez
David Diaz-Guerra
A. Politis
Tuomas Virtanen
J. Carabias-Orti
P. Vera-Candeas
19
1
0
17 Sep 2024
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music
  Source Separation
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation
Qiuqiang Kong
Yin Cao
Haohe Liu
Keunwoo Choi
Yuxuan Wang
116
95
0
12 Sep 2021
Cutting Music Source Separation Some Slakh: A Dataset to Study the
  Impact of Training Data Quality and Quantity
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow
G. Wichern
Prem Seetharaman
Jonathan Le Roux
49
122
0
18 Sep 2019
1