README.md

---
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:

```text
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

```python
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:

```bash
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.