---
license: cc-by-4.0
language:
  - en
pretty_name: EmoFake Test
task_categories:
  - audio-classification
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*.parquet
tags:
  - anti-spoofing
  - audio-deepfake-detection
  - speech
  - benchmark
  - arena-ready
arxiv:
  - "2211.05363"
---

# EmoFake Test

Benchmark-ready packaging of the EmoFake test set for speech anti-spoofing.

## Overview

Emotional speech deepfake detection test set. Contains bonafide emotional utterances and spoofed samples with emotion conversion.

## License

CC BY 4.0. See LICENSE.txt.

## Schema

| Column | Type | Description |
|--------|------|-------------|
| path | string | Audio filename |
| audio | Audio(16000) | Audio waveform, 16 kHz mono |
| label | ClassLabel | bonafide (index 0) or spoof (index 1) |
| notes | string | JSON with utterance_id, speaker_id, emotion, method, subset |

notes example:
{"utterance_id": "0014_Surprise_001539", "speaker_id": "0014", "emotion": "Surprise", "subset": "test"}

## Quick Start

    from datasets import load_dataset
    ds = load_dataset("SpeechAntiSpoofingBenchmarks/EmoFake_test", split="test")
    print(ds[0])

## Stats

| Stat | Value |
|------|-------|
| Total trials | 17500 |
| Bonafide | 3500 |
| Spoof | 14000 |

## Source provenance

- Paper: https://arxiv.org/abs/2211.05363

## Maintainer

Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks).
- Email: kborodin.research@gmail.com
- Telegram: [@korallll_ai](https://t.me/korallll_ai)