Datasets:

SpeechAntiSpoofingBenchmarks
/

EmoFake_test

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