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Kuis Deteksi Audio Deepfake

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Jalur panduan terkaitDeteksi Audio Deepfake
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Apa tujuan inti dari pendeteksi audio deepfake?

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  1. Apa tujuan inti dari pendeteksi audio deepfake?
    • Untuk memutuskan apakah ucapan itu nyata atau hasil sintesis AI
    • Untuk meningkatkan kualitas suara rekaman
    • Untuk menyalin ucapan ke dalam teks
    • Untuk mengompresi file audio
  2. In “Does Audio Deepfake Detection Generalize?”, which feature comparison improved performance in the authors’ controlled evaluation?
    • Raw transcript tokens instead of audio
    • CQT or log-spectrogram features instead of mel-spectrogram features
    • A larger waveform file instead of a smaller one
    • Video frames instead of speech features
  3. Mengapa deteksi audio deepfake digambarkan sebagai 'perlombaan senjata'?
    • Detektor dijalankan pada perangkat keras militer
    • File audio semakin besar
    • Metode sintesis baru menghindari detektor yang dilatih untuk pemalsuan lama
    • Dibutuhkan dua orang untuk mengoperasikannya
  4. Apa yang dievaluasi oleh benchmark ASVspoof yang terkenal?
    • Kualitas rekomendasi musik
    • Akurasi terjemahan teks
    • Realisme generasi gambar
    • Deteksi anti-spoofing/deepfake untuk ucapan
  5. What can a valid C2PA Content Credential help a verifier check?
    • A signed record of an asset’s provenance and edit history
    • That every spoken claim in the audio is true
    • The speaker’s real-world identity in all cases
    • That a recording has never been compressed
  6. What input type did the ASVspoof 2021 Deepfake task target?
    • Uncompressed music recordings from a studio
    • Manipulated, compressed speech posted online
    • Images altered by face-swapping systems
    • Only live telephone conversations with known speakers
  7. How large was the real-world dataset collected in the cited audio deepfake generalization study?
    • 3.79 hours total, all authentic speech
    • 37.9 hours of deepfakes with no authentic audio
    • 37.9 hours total, including 17.2 hours of deepfakes
    • 172 hours total, including 17.2 hours of deepfakes
  8. What does the absence of a C2PA credential establish?
    • That the recording is necessarily a deepfake
    • That the recording has no edits
    • That the speaker is verified
    • Nothing by itself about whether the media is authentic or synthetic