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Cinematic dataset for AI-Generated Music
This dataset contains a diverse collection of cinematic music from various genres, all accompanied by systematically managed metadata. Explore the fine nuances of chords, instrumentation, key, tempo, timestamps, and more. Make the best possible use of your machine learning efforts by using this dataset for applications like generative AI music, Music Information Retrieval (MIR), source separation, and more.
Training models on our Cinematic Music Dataset provide numerous of opportunities. The distinct qualities of cinematic music, which are intended to enhance visual storytelling, provide a fascinating challenge and potential for machine learning applications. The dataset's diverse instrumentation, advanced chord progressions, and carefully designed compositions provide an excellent training ground for models learning the complexities of emotion-evoking soundscapes.
Dataset Highlights
Diverse Musical Styles
The dataset encompasses a wide range of cinematic musical styles, including epic orchestral arrangements, ambient soundscapes, suspenseful cues, and emotional motifs. This diversity allows users to explore various moods and atmospheres suitable for different cinematic scenarios.
Instrumentation Variety
The dataset includes compositions featuring a rich array of virtual instruments, simulating the sounds of classical orchestras, modern electronic elements, and unique hybrids. This enables users to experiment with different instrument combinations and textures for their cinematic projects.
High-Quality Audio
All musical pieces in the dataset are provided in high-quality audio formats, ensuring optimal fidelity and clarity for use in professional audio production environments. The dataset also includes MIDI files for users interested in further customization and manipulation of the musical elements.
Annotated Metadata
All musical pieces in the dataset are provided in high-quality audio formats, ensuring optimal fidelity and clarity for use in professional audio production environments. The dataset also includes MIDI files for users interested in further customization and manipulation of the musical elements.
