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Marimba dataset for AI-Generated Music

The Marimba Dataset provides an excellent source of sound recordings and metadata for exploring the subtleties of marimba performance and composition, enabling them to gain access to a fascinating world of percussive music. To unlock the potential of marimbas in a digital age, this can be leveraged by exploring generative music experiments, investigating MIR tasks or pioneering new techniques for processing percussion instruments.

Every track is analysed in detail, giving an overview of key features such as malleting techniques, rhythmic patterns and dynamic harmony. These annotations are a valuable resource for the training of models ingenerative AI music, which allow users to build algorithmically generated Marimba compositions that bring an emotional depth and artistal nuance to performance.

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Dataset Highlights


Comprehensive Collection

The "Marimba" dataset offers a diverse array of marimba performances, including various mallet types, playing techniques, and musical genres, catering to the needs of percussionists, composers, and music producers.

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Authentic Marimba Expressions

Meticulously captured recordings showcase the resonant tones, dynamic range, and expressive nuances of marimba playing, ensuring realism and depth in musical compositions.


Ethically Sourced and Copyright-Cleared

Committed to ethical standards, all content in the dataset is responsibly sourced and copyright-cleared, allowing users to utilize the marimba recordings with confidence while upholding ethical practices in music creation.


Premium Audio Quality

Each marimba recording in the dataset meets stringent quality standards, offering pristine sound quality and fidelity, empowering users to create professional-grade marimba arrangements and compositions with authenticity and ease.


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