Low Decoder: 1,200 Clean Synthetic Morse Code Audio Signals

1,200 unique, clean synthetic audio signals representing decoded text commands. The dataset contains synthesized Morse Code message blocks at a slow speed of approximately 12 words per minute with a high signal-to-noise ratio. It was created by author Surpem and last updated on Hugging Face in May 2026.

Use Cases

• Training Morse code audio recognition models based on the described clean, synthetic signals.
• Benchmarking audio-to-text transcription systems on the provided decoded string transcriptions.
• Developing signal processing techniques for noise reduction using the high signal-to-noise ratio signals.
• Creating educational tools for Morse code learning based on the slow-speed, clean audio examples.

Strengths

• Contains 1,200 unique audio samples.
• Audio is described as clean with a high signal-to-noise ratio.
• Signals are generated at a consistent, slow speed of approximately 12 WPM.

Limitations

• Dataset size is limited to 1,200 samples, which may be insufficient for training complex models.
• Row count and file formats are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Surpem on Hugging Face

Collection Method

Synthetically generated audio signals.

Freshness

Last updated 2026-05-23 12:29:42; freshness should be verified.