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. 2302.00286
  4. Cited By
Jointist: Simultaneous Improvement of Multi-instrument Transcription and
  Music Source Separation via Joint Training

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training

1 February 2023
K. Cheuk
Keunwoo Choi
Qiuqiang Kong
Bochen Li
Minz Won
Ju-Chiang Wang
Yun-Ning Hung
Dorien Herremans
ArXivPDFHTML

Papers citing "Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training"

8 / 8 papers shown
Title
Reconstructing the Charlie Parker Omnibook using an audio-to-score
  automatic transcription pipeline
Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline
Xavier Riley
Simon Dixon
27
0
0
26 May 2024
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural
  Networks
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Huu Le
R. Høier
Che-Tsung Lin
Christopher Zach
42
16
0
06 Dec 2021
Pix2seq: A Language Modeling Framework for Object Detection
Pix2seq: A Language Modeling Framework for Object Detection
Ting-Li Chen
Saurabh Saxena
Lala Li
David J. Fleet
Geoffrey E. Hinton
MLLM
ViT
VLM
235
344
0
22 Sep 2021
Codified audio language modeling learns useful representations for music
  information retrieval
Codified audio language modeling learns useful representations for music information retrieval
Rodrigo Castellon
Chris Donahue
Percy Liang
78
86
0
12 Jul 2021
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
Yi-Hui Chou
I-Chun Chen
Chin-Jui Chang
Joann Ching
Yi-Hsuan Yang
30
25
0
12 Jul 2021
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for
  Low-Resource Real-World Data
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data
K. Cheuk
Dorien Herremans
Li Su
58
31
0
11 Jul 2021
Toward Expressive Singing Voice Correction: On Perceptual Validity of
  Evaluation Metrics for Vocal Melody Extraction
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction
Yin-Jyun Luo
Yuen-Jen Lin
Li Su
11
1
0
23 Oct 2020
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