odunola/speech-commands

---
license: cc-by-4.0
task_categories:
  - audio-classification
  - automatic-speech-recognition
tags:
  - speech-commands
  - keyword-spotting
  - audio
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train/**
      - split: validation
        path: data/validation/**
      - split: test
        path: data/test/**
---

# Speech Commands (v0.02)

One-second WAV clips of spoken words and background noise, organised by
split and label in the Hugging Face **audiofolder** convention.

## Quick start

```python
from datasets import load_dataset

ds = load_dataset("odunola/speech-commands")
print(ds)
```

## Structure

```
data/
  <split>/
    metadata.csv        # file_name, label, is_unknown, speaker_id, utterance_id
    <label>/*.wav
```

## Labels (36)

`_silence_`, `backward`, `bed`, `bird`, `cat`, `dog`, `down`, `eight`, `five`, `follow`, `forward`, `four`, `go`, `happy`, `house`, `learn`, `left`, `marvin`, `nine`, `no`, `off`, `on`, `one`, `right`, `seven`, `sheila`, `six`, `stop`, `three`, `tree`, `two`, `up`, `visual`, `wow`, `yes`, `zero`

## Source

- Homepage: https://www.tensorflow.org/datasets/catalog/speech_commands
- License: Creative Commons BY 4.0 License

## Citation

```bibtex
@article{speechcommandsv2,

author = {{Warden}, P.}, title = "{Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition}", journal = {ArXiv e-prints}, archivePrefix = "arXiv", eprint = {1804.03209}, primaryClass = "cs.CL", year = 2018, month = apr, url = {https://arxiv.org/abs/1804.03209}, } ```

## Description

A set of one-second .wav audio files, each containing a single spoken English word or background noise. These words are from a small set of commands, spoken by a variety of different speakers. Version 0.02 adds the words: backward, forward, follow, learn, visual.