Guitar Amplifier and Effects Input-Output Signal Dataset

The Amp-Space Dataset provides input and output audio signals for guitar amplifiers and effects devices, with each example containing a direct_input and its corresponding processed output. The dataset is designed for the amplifier modeling community, offering a large scale and breadth of sampled device parameters. The author is narad, and it was last updated on March 17, 2024.

Use Cases

• Train a neural network to model amplifier behavior by learning the mapping from direct_input to output signals.
• Analyze the effect of specific device parameter values on the resulting output signal characteristics.
• Benchmark different audio effect simulation algorithms using the provided input-output pairs.

Strengths

• Designed for a large scale and breadth of sampled device parameters.
• Last updated on March 17, 2024, indicating recent maintenance.

Limitations

• The specific number of rows, columns, and total dataset size are unknown.
• The exact device types, parameter ranges, and audio signal specifications are not detailed.

Provenance

Source

huggingface

Collection Method

Designed to sample parameters from amplifiers and effects devices, capturing input and output signals.

Freshness

Last updated on 2024-03-17.