Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity

18 September 2019

Papers citing "Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity"

8 / 8 papers shown

Title
Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music Venkatakrishnan Vaidyanathapuram Krishnan Noel Alben Anish Nair Nathaniel Condit-Schultz 38 0 0 12 Jan 2025
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations Ruben Ciranni Emilian Postolache Giorgio Mariani Michele Mancusi Giorgio Fabbro Emanuele Rodolà Luca Cosmo 59 7 0 10 Jan 2025
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models Tornike Karchkhadze M. Izadi Shlomo Dubnov DiffM 33 2 0 31 Dec 2024
SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data Liqian Zhang Magdalena Fuentes DiffM VGen 37 3 0 04 Oct 2024
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation Sungkyun Chang Emmanouil Benetos Holger Kirchhoff Simon Dixon 24 2 0 05 Jul 2024
MusicScore: A Dataset for Music Score Modeling and Generation Yuheng Lin Zheqi Dai Qiuqiang Kong VLM 24 2 0 17 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang Jiaxin Zhuang Cheng Jin Gen Li Yuantao Gu DiffM 53 1 0 11 Jun 2024
A study of audio mixing methods for piano transcription in violin-piano ensembles Hyemi Kim Jiyun Park Taegyun Kwon Dasaem Jeong Juhan Nam 11 2 0 23 May 2023