Synthwave Dataset for AI-Generated Music (Machine Learning (ML) Data)

The combination of this intricate musical data with the distinct characteristics of Synthwave, a genre rooted in 1980s electronic sounds, creates a one-of-a-kind resource for training models in a variety of applications, including generative AI music, Music Information Retrieval (MIR), and source separation. The Synthwave dataset contains audio tracks that define the essence of the genre, including rhythmic basslines, arpeggiated synthesizers, and electronic drum patterns that define the nostalgic yet futuristic soundscapes of the 1980s. This dataset serves as a platform for machine learning models to identify and duplicate the complex parts of Synthwave songs, encouraging creativity in generative music creation and improving MIR analysis capabilities. Furthermore, the inclusion of metadata containing chords, key signatures, and timestamps provides a granular understanding of the musical structure, allowing academics and practitioners to conduct source separation tasks with unparalleled precision.

搜集汇总

背景与挑战

背景概述

该数据集专为AI生成音乐设计，聚焦于1980年代电子音乐风格的Synthwave，包含音频轨道和元数据，以支持生成音乐、音乐信息检索和源分离等机器学习应用。它通过提供节奏贝斯线、琶音合成器等元素，帮助模型识别和复制Synthwave的复杂结构，同时元数据如和弦和调号增强了音乐分析的精确性。