Isolated Guitar Chords Recorded in Realistic Acoustic Conditions

severyn-k created a dataset of isolated guitar chord recordings for audio classification tasks. The data was recorded in realistic acoustic conditions, including minor background sounds, to improve robustness for real-world inference. The dataset was last updated on December 12, 2025.

Use Cases

• Train chord recognition models based on isolated audio recordings.
• Benchmark real-time music analysis systems using data with background sounds.
• Develop robust audio classifiers for real-world acoustic environments.

Strengths

• Recordings were made in realistic acoustic conditions to improve model robustness.
• Data is specifically designed for chord recognition and real-time music analysis tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Manual recording using a Fender FA-15 3/4 Acoustic Guitar.

Freshness

Last updated 2025-12-12 17:17:42; freshness should be verified.