WaivOps EDM-TR8: Open Audio Resources for Machine Learning in Music

EDM-TR8 Dataset EDM-TR8 is an open audio dataset composed of a series of drum recordings in the style of electronic dance music (EDM). This dataset primarily focuses on the iconic sounds of the Roland TR-808 drum machine with additional electro synth drums. The dataset contains 3,790 audio loops recorded in uncompressed stereo WAV format, generated with custom audio samples and a MIDI dataset used for training symbolic music models. Dataset The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include tempo detection and classification, drum rhythm analysis, audio-to-MIDI conversion, source separation, automated mixing, music information retrieval, AI music generation, sound design and signal processing. Specifications 3790 audio loops (approximately 9 hours) 16-bit WAV format BPM labeled Tempo range: 95–130bpm Variational drum patterns Multi-genre rhythm styles License This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks.. All recordings have been compiled by verified sources for copyright clearance. The EDM-TR8 dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Additional Info For audio examples or more information about this dataset, please refer to the GitHub repository.EDM-TR8 数据集 EDM-TR8 是一款开源音频数据集，由一系列电子舞曲 (Electronic Dance Music) 风格的鼓组录音构成。本数据集主要聚焦于罗兰 (Roland) TR-808 鼓机的标志性音色，并额外包含电子合成鼓音色。数据集共包含3790条未压缩立体声WAV格式的音频循环片段，采用定制音频样本制作，并附带可用于训练符号音乐模型的MIDI (Musical Instrument Digital Interface) 数据集。 数据集概况 本数据集的核心目标是为音乐与音频研究领域的机器学习应用提供易于获取的素材。该数据集的潜在应用场景包括：速度检测与分类、鼓组节奏分析、音频转MIDI转换、声源分离、自动化混音、音乐信息检索、AI音乐生成、声音设计与信号处理。 规格参数 - 3790条音频循环片段（总时长约9小时） - 16位WAV格式 - 已标注BPM（Beats Per Minute） - 速度范围：95–130拍每分钟（bpm） - 多样化鼓组节奏型 - 多流派节奏风格 授权协议 本数据集由WaivOps编纂，该项目是由声音厂牌公司Patchbanks运营的众包音乐项目。所有录音均由经过验证的来源整理，以完成版权合规审查。 EDM-TR8 数据集采用知识共享署名4.0国际通用许可 (Creative Commons Attribution 4.0 International，CC BY 4.0) 协议进行授权。 补充信息 如需查看音频示例或获取本数据集的更多信息，请参阅其GitHub仓库。