eoinedge/wakeforge-hey-android-piper-tts

hey_android — 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

Label	Samples
background_noise	200
hey_android	378
unknown	1071

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

Audio Specification

Property	Value
Format	WAV
Channels	Mono
Sample rate	16000 Hz
Clip length	2.0 seconds

Layout

audio/
  train/  hey_android.<id>.wav ...
  test/   hey_android.<id>.wav ...
metadata.csv
hf_metadata.csv
selected_voices.csv
dataset_summary.json

Loading

from datasets import load_dataset, Audio

ds = load_dataset("eoinedge/wakeforge-hey-android-piper-tts")
ds = ds.cast_column("audio", Audio(sampling_rate=16000))
print(ds)

Edge Impulse

Filenames follow the Edge Impulse label-prefix convention (hey_android.<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.