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

Reggaeton is an edited set of audio files with rich information that may be used in machine-learning applications across multiple domains. Reggaeton, which originated in Puerto Rico in the late 1990s, smoothly integrates reggae, dancehall, hip hop, and Latin American influences, creating in a distinct genre with a dembow rhythm and energetic beats. With recordings tagged for chords, instrumentation, key, tempo, and timestamps, this dataset is an excellent resource for training models in generative AI music, Music Information Retrieval (MIR), and source separation. Reggaeton's global prominence, especially since the early 2000s, has made it a major player in the Latin music scene. The dataset's focus on reggaeton enables machine learning models to grasp the genre's intricacies, allowing for the construction of AI-generated compositions and facilitating tasks such as source separation, which provides insights into the many layers of sound within reggaeton songs. This dataset, with its rich annotations, offers up new paths for research and development, providing a unique opportunity to explore the lively and rhythmic world of reggaeton via the lens of machine learning.

搜集汇总

背景与挑战

背景概述

该数据集收录了经过标注的雷鬼顿音乐音频文件，包含和弦、乐器、调性、节奏等丰富信息，适用于生成式AI音乐、音乐信息检索等机器学习任务。雷鬼顿音乐融合了多种风格特色，数据集为研究其独特韵律和分层音效提供了专业资源。