name: EmoSpoofTTS
description: >
  Spoof-only attack corpus of emotional TTS synthesis (Mahapatra et al.,
  "Can Emotion Fool Anti-spoofing?", Interspeech 2025): 36,000 clips from
  3 TTS systems (StyleTTS2, F5-TTS, CosyVoice) x 10 ESD speakers x 4 emotions.
  It contains NO bonafide audio (every label = 1 = spoof), so it is scored with
  the 1-SRR metric (srr_complement): the fraction of these emotional-TTS spoofs
  NOT rejected at a fixed operating threshold t* transferred from DeepVoice
  (lower is better). Every model must carry a DeepVoice submission to derive t*
  (placed in the submission's `calibration` block). EER on this dataset alone is
  degenerate and is not used.
evaluation_framework: inspect-ai

tasks:
  - id: antispoofing_eval
    config: default
    split: test

    field_spec:
      input: audio
      target: label

    solvers:
      - name: speech_spoof_bench_solver

    scorers:
      - name: speech_spoof_scorer

    metrics:
      - srr_complement