Artificial Audio Multitracks Dataset

Name: Artificial Audio Multitracks Dataset
Creator: TU Dortmund University
Published: 2021-04-19T00:00:00+08:00

Zenodo2021-04-19 更新2026-04-07 收录

音源分离

多轨音频合成

数据链接：

https://zenodo.org/doi/10.5281/zenodo.4687053 数据链接链接失效反馈

官方服务：

资源简介：

This version of the dataset is deprecated. Use newer ones: https://doi.org/10.5281/zenodo.4687052

提供机构：

TU Dortmund University

创建时间：

2021-04-19

DnR-nonverbal

音源分离

电影声音分析

DnR-nonverbal是一个电影音频源分离（CASS）数据集，特别处理非言语声音。与传统CASS数据集只包含阅读风格的语音不同，该数据集在语音干中包含了笑声、尖叫等非言语声音。数据集包含从FSD50K和FreeSound收集的非言语声音片段，并经过基于规则和大型语言模型（LLM）的筛选。数据集创建过程包括收集非言语声音、筛选和处理混合过程。该数据集旨在解决当前CASS模型在处理实际电影音频中非

arXiv2025-06-03 更新460

PodcastMix - a dataset for separating music and speech in podcasts

音源分离

播客音乐语音分离

We introduce PodcastMix, a dataset formalizing the task of separating background music and foreground speech in podcasts. It contains audio files at 44.1kHz and the corresponding metadata. For further

NIAID Data Ecosystem30

Open-Unmix Pytorch Bleeding

音源分离

音乐信号处理

SDXDB21 Bleeding Baseline We split the training data into train and valid. For valid, the following songs were used: bc1f2967-f834-43bd-aadc-95afc897cfe7 cc3e4991-6cce-40fe-a917-81a4fb

Zenodo2023-02-20 更新10

Divide and Remaster (DnR)

音源分离

多轨音频分离

Introduction: Divide and Remaster (DnR) is a source separation dataset for training and testing algorithms that separate a monaural audio signal into speech, music, and sound effects/

Zenodo2023-03-22 更新40

QuartSet: A String Quartet Dataset for Transcription and Source Separation of Real Instrument Recordings

音乐转录

音源分离

A set of wav files for 56 string quartet compositions and their accompanying scores in Kern notation

Zenodo2025-11-26 更新10