Datasets:
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.