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. 2108.03456
  4. Cited By
A Unified Model for Zero-shot Music Source Separation, Transcription and
  Synthesis

A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis

7 August 2021
Liwei Lin
Qiuqiang Kong
Junyan Jiang
Gus Xia
ArXivPDFHTML

Papers citing "A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis"

4 / 4 papers shown
Title
Self-Supervised Music Source Separation Using Vector-Quantized Source
  Category Estimates
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates
Marco Pasini
Stefan Lattner
George Fazekas
29
1
0
21 Nov 2023
Tackling the Cocktail Fork Problem for Separation and Transcription of
  Real-World Soundtracks
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks
Darius Petermann
G. Wichern
Aswin Shanmugam Subramanian
Zhong-Qiu Wang
Jonathan Le Roux
27
10
0
14 Dec 2022
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement
  System
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
Li Yi
Haochen Hu
Jingwei Zhao
Gus Xia
14
7
0
01 Sep 2022
LightSAFT: Lightweight Latent Source Aware Frequency Transform for
  Source Separation
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Yeong-Seok Jeong
Jinsung Kim
Woosung Choi
Jaehwa Chung
Soonyoung Jung
30
2
0
24 Nov 2021
1