Hey-Edge / README.md
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Fix dataset labels: per-class audio subfolders + dataset_info/configs
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metadata
license: cc-by-4.0
pretty_name: hey_edge wake word synthetic speech dataset
task_categories:
  - audio-classification
tags:
  - audio
  - speech
  - wake-word
  - keyword-spotting
  - text-to-speech
  - synthetic-data
  - edge-impulse
  - tinyml
size_categories:
  - n<1K
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: label
      dtype:
        class_label:
          names:
            '0': background_noise
            '1': hey_edge
            '2': unknown
  splits:
    - name: train
      num_examples: 1312
    - name: test
      num_examples: 337
configs:
  - config_name: default
    data_files:
      - split: train
        path: audio/train/**/*.wav
      - split: test
        path: audio/test/**/*.wav

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

Label Samples
background_noise 200
hey_edge 378
unknown 1071
  • hey_edge — 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 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.