Vibraphone dataset for AI-Generated Music
Vibraphone music has specific properties, making it an appealing candidate for machine learning applications. The vibraphone's resonant metal bars, combined with the dynamic modulation provided by the motor-driven butterfly valve, result in a sonorous and expressive tone.
Each audio recording in this dataset captures the lovely tones of the vibraphone, a percussion instrument known for its distinct and soothing sound. The dataset's metadata contains a wealth of information, such as chord progressions, instrumentation details, key signatures, tempo changes, and precise timestamps, which will offer your machine learning models with the depth of vibraphone music.
Dataset Highlights
Extensive Repertoire
The "Vibraphone" dataset offers a comprehensive collection of vibraphone recordings, featuring various playing styles, mallet types, and musical genres, catering to the needs of vibraphonists, composers, and music producers.
Authentic Vibraphone Expressions
Meticulously captured performances showcase the nuanced articulations, dynamic range, and resonant tones of the vibraphone, providing a realistic and expressive musical experience.
Ethically Sourced and Copyright-Cleared
Committed to ethical standards, all content in the dataset is responsibly sourced and copyright-cleared, ensuring users can utilize the vibraphone recordings with confidence while upholding ethical practices in music creation.
Premium Audio Quality
Each vibraphone recording in the dataset meets stringent quality standards, offering pristine sound quality and fidelity, empowering users to incorporate professional-grade vibraphone sounds seamlessly into their musical compositions and creative projects.