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Purchase Acoustic Guitar Dataset

"Acoustic Guitar Strum" is a unique AI music dataset that is primarily comprised of various acoustic guitar strumming patterns. It includes a diverse range of styles, techniques, and chord progressions played on acoustic guitars, thus providing a rich resource for machine-learning applications focused on understanding and synthesizing guitar music. This dataset encapsulates numerous samples that encompass a broad range of tempos, musical keys, and dynamics, making it an invaluable tool for training models on the complex task of acoustic guitar strumming sound generation or recognition.

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Dataset Specifications

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

"Acoustic Guitar Strum" is a specialized AI music dataset designed to advance the field of music generation, focusing exclusively on acoustic guitar strumming patterns. This comprehensive dataset encapsulates a variety of guitar strumming styles, techniques, and chord progressions, all played on different types of acoustic guitars.

The detailed metadata associated with each sample in the dataset provides a rich context, including information about the type of guitar used, the strumming technique, the specific chords played, the tempo, and the dynamic level.

This dataset is intended to fuel machine learning applications that aim to generate guitar music. Given the diversity and quality of the strum samples it provides, it serves as an invaluable tool for developing sophisticated music generation models that can emulate the nuances of acoustic guitar playing, resulting in more realistic and authentic generated music. It paves the way towards a deeper understanding and replication of the intricate dynamics of acoustic guitar music through AI systems.

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