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Purchase Ambient Dataset

The Ambient dataset is a collection of audio tracks, each with precise metadata. This dataset is ideal for generative AI music, Music Information Retrieval (MIR), and source separation, and it offers a unique training ground for models.

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Dataset Specifications

Total Audio Tracks: Up to 100k Ambient tracks
Type: Genre (Ambient)
File Format: WAV, FLAC, MP3, CSV, JSON

Dataset includes:

  • Duration

  • Key

  • Tempo

  • BPM Range

  • Mood

  • Energy

  • Description

  • Keywords

  • Chord Progressions

  • Timestamps

  • Time Signature

  • Number of Bars

Purchasing License

Annual License
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Perpetual License
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Free audio sample available

Engage your machine learning models in the ambient music realm with our thoughtfully prepared dataset, designed for a variety of applications. This collection includes ambient compositions with precise metadata that reveals chords, instrumentation, key, tempo, and timestamps. The dataset is ideal for generative AI music, Music Information Retrieval (MIR), and source separation since it reveals the intricacies of ambient soundscapes, allowing models to identify the genre's distinct qualities.

Ambient music follows a simple structure, concentrating on generating peaceful and immersive environments. The genre's distinguishing traits include longer durations, spatial sound effects, and the absence of a formal composition, making it an ideal canvas for machine learning training. As models go through this dataset, they can grasp the nuances of ambient compositions, including the interplay between instrumentation, chord progressions, and temporal changes.

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