edgeimpulse/Hey-Edge

hey_edge — Wake Word Synthetic Speech Dataset

Synthetic, augmented audio for training a small wake-word / keyword-spotting model. Generated with piper_tts and local audio augmentation.

Classes

• —hey_edge — the target wake phrase and close variants.
• —unknown — near-miss and unrelated short phrases.
• —background_noise — synthetic background noise.

Audio Specification

Layout

Audio is organised into one sub-folder per class so the Hugging Face dataset viewer infers the label column automatically:

audio/
  train/
    hey_edge/     hey_edge.<id>.wav ...
    unknown/  unknown.<id>.wav ...
    background_noise/    background_noise.<id>.wav ...
  test/
    hey_edge/ ...
    unknown/ ...
    background_noise/ ...
edge_impulse_metadata.csv
hf_metadata.csv
selected_voices.csv
dataset_summary.json

Loading

from datasets import load_dataset, Audio

ds = load_dataset("edgeimpulse/Hey-Edge")
ds = ds.cast_column("audio", Audio(sampling_rate=16000))
print(ds)

Edge Impulse

Filenames follow the Edge Impulse label-prefix convention (hey_edge.<id>.wav) so they upload directly:

edge-impulse-uploader --category training audio/train/**/*.wav
edge-impulse-uploader --category testing audio/test/**/*.wav

Limitations

Synthetic TTS is a bootstrap, not a production benchmark. Add real device and environment recordings before deploying a wake-word product.

License

CC BY 4.0. Verify that your use of the generated synthetic speech complies with the terms of the voice models and tools used to create it.