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. 2206.10805
  4. Cited By
Jointist: Joint Learning for Multi-instrument Transcription and Its
  Applications

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications

22 June 2022
K. Cheuk
Keunwoo Choi
Qiuqiang Kong
Bochen Li
Minz Won
Amy Hung
Ju-Chiang Wang
Dorien Herremans
ArXivPDFHTML

Papers citing "Jointist: Joint Learning for Multi-instrument Transcription and Its Applications"

7 / 7 papers shown
Title
Multitrack Music Transcription with a Time-Frequency Perceiver
Multitrack Music Transcription with a Time-Frequency Perceiver
Weiyi Lu
Ju-Chiang Wang
Yun-Ning Hung
ViT
AI4TS
26
24
0
19 Jun 2023
Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
Kyungsuk Kim
Minju Park
Ha-na Joung
Yunkee Chae
Yeongbeom Hong
Seonghyeon Go
Kyogu Lee
11
6
0
15 Nov 2022
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
238
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
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
51
122
0
18 Sep 2019
1