Purchase Bedroom Pop Dataset
"Bedroom Pop" is an enchanting AI music dataset carefully curated to capture the bedroom pop genre's intimate, reflective, and dreamy sound. This unique collection features diverse lo-fi, indie-pop tracks characterized by their introspective lyrics, lo-fi production aesthetics, and bedroom recording sensibilities. Immerse yourself in the cozy ambiance of "Bedroom Pop" and let the dreamy melodies and intimate vocals transport you to a world of introspection and musical intimacy.
Dataset Specifications
Total Audio Tracks: Up to 100k Bedroom Pop tracks
Type: Genre (Bedroom Pop)
File Format: WAV, FLAC, MP3, CSV, JSON
Dataset includes:
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Duration
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Key
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Tempo
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BPM Range
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Mood
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Energy
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Description
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Keywords
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Chord Progressions
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Timestamps
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Time Signature
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Number of Bars
The "Bedroom Pop" AI music dataset is a unique collection specially curated to push the boundaries of music generation within the bedroom pop genre. This comprehensive dataset encapsulates a diverse array of dreamy melodies, lo-fi textures, intimate vocal performances, and atmospheric production elements that define the essence of bedroom pop.
With detailed metadata accompanying each sample, including tempo, key, genre classification, and production information, this dataset is invaluable for exploring and innovating in bedroom pop music generation.
Dive into this genre's hazy ambiance, introspective lyrics, and lo-fi aesthetics. With its comprehensive selection of tracks, this dataset enables the development of cutting-edge AI models capable of generating authentic and captivating bedroom pop compositions.