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Purchase Harmonica Dataset

"Harmonica" is an AI music dataset that provides a rich repository of audio recordings and metadata to explore harmonica performances. From bluesy riffs to country twangs, this collection offers a diverse range of harmonica performances to enrich compositions across various musical genres and styles.

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Dataset Specifications

Total Audio Tracks: Up to 100k Harmonica tracks
Type: Instrument (Harmonica)
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

The Harmonica Dataset, a comprehensive collection of audio tracks paired with detailed metadata, curated to drive advancements in machine learning applications across various domains. This dataset offers a systematic exploration into the world of harmonica music, highlighting the instrument's distinctive timbre, expressive capabilities, and cultural significance.

From blues to folk and beyond, the harmonica's unique sound has made it a beloved instrument in various musical genres. Each audio track within this dataset captures the nuanced nuances and emotive qualities of the harmonica, providing a diverse array of material for analysis and research endeavors.

Accompanying the audio recordings are detailed metadata annotations, offering insights into musical structures, instrumentation, key signatures, tempo variations, timestamps, and other relevant details. This comprehensive metadata empowers machine learning models to discern the intricacies of harmonica performances, facilitating tasks such as generative music composition, music information retrieval (MIR), source separation, and beyond. The Harmonica Dataset serves as an invaluable resource for researchers, musicians, and developers seeking to explore the unique characteristics of the harmonica within the realm of machine learning, enabling innovative approaches to music synthesis, analysis, and interpretation.

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