{"ok":true,"api":{"name":"SAIMSARA Evidence Object Discovery API","version":"v1"},"mode":"doc_key","editorial_verification":{"status":"human_reviewed","trust_label":"machine_generated_human_reviewed","method":"World ID proof-of-human editorial account","scope":["clinical_integrity","reference_quality","scientific_coherence"],"verification_note":"This Evidence Object is machine-generated and human-reviewed. World ID is used to verify that editorial oversight was submitted by a unique human account.","does_not_mean":"World ID verifies proof-of-human editorial oversight; it does not independently certify the scientific truth of every claim."},"object":{"object_type":"saimsara_evidence_object_metadata","doc_key":"digital::AI_VOICE_SS","issue_slug":"digital","doc_id":"AI_VOICE_SS","title":"AI-Generated Voice, Synthetic Speech, and Voice Cloning","doi":"10.62487/saimsara3635922a","doi_url":"https://doi.org/10.62487/saimsara3635922a","version":"2026-05-09","source_name":"Semantic Scholar","article_url":"https://saimsara.com/sessions/ai-generated-voice-20260508-234705-3635922a/","image_url":"","topic_tags":"AI-generated voice,Synthetic speech,Voice cloning,Deepfake detection,Text-to-speech,Voice conversion,Speaker verification,Acoustic features,Mel spectrograms,Human perception","keywords":["AI-generated voice","Synthetic speech","Voice cloning","Deepfake detection","Text-to-speech","Voice conversion","Speaker verification","Acoustic features","Mel spectrograms","Human perception"],"metrics":{"included_all":270,"included_original":226,"reference_index":170,"total_participants":3297311},"discover_url":"https://saimsara.com/api/v1/discover.php?doc_key=digital%3A%3AAI_VOICE_SS","paid_evidence_url":"https://saimsara.com/api/v1/evidence.php?doc_key=digital%3A%3AAI_VOICE_SS","price":{"amount":"5.00","currency":"USD","units":5,"unit_amount":"1.00"},"payment_methods":["api_key","stripe_checkout","object_grant","x402"],"text_length":25132,"preview":"Results Key finding aligned to the query: The central scoping-review finding is that AI-generated voice is now realistic and socially consequential enough to be useful across education, health care, accessibility, media, and commercial interaction, while simultaneously exceeding unaided human ability to reliably distinguish synthetic from human speech. Human listener studies reported poor or inconsistent detection, including 60% synthetic-voice detection accuracy in one perceptual study, 37.5% mean accuracy with frequent mislabeling in vishing-style clips, and indistinguishability for some voice-clone configurations. In response, the technical literature recurrently proposes automated and ex…","trust_label":"machine_generated_human_reviewed","editorial_verification":{"status":"human_reviewed","trust_label":"machine_generated_human_reviewed","method":"World ID proof-of-human editorial account","scope":["clinical_integrity","reference_quality","scientific_coherence"],"verification_note":"This Evidence Object is machine-generated and human-reviewed. World ID is used to verify that editorial oversight was submitted by a unique human account.","does_not_mean":"World ID verifies proof-of-human editorial oversight; it does not independently certify the scientific truth of every claim."},"checkout":{"method":"POST","url":"https://saimsara.com/create_checkout_session.php","content_type":"application/x-www-form-urlencoded","params":{"plan":"evidence_object","doc_key":"digital::AI_VOICE_SS"},"optional_params":{"customer_email":"user@example.com"},"price":{"amount":"5.00","currency":"USD","units":5,"unit_amount":"1.00"},"curl_example":"curl -X POST https://saimsara.com/create_checkout_session.php -d \"plan=evidence_object\" -d \"doc_key=digital::AI_VOICE_SS\" -d \"customer_email=user@example.com\""},"access_after_payment":{"header":"X-SAIMSARA-Payment-Proof","endpoint":"https://saimsara.com/api/v1/evidence.php?doc_key=digital%3A%3AAI_VOICE_SS","curl_example":"curl -H \"X-SAIMSARA-Payment-Proof: YOUR_PAYMENT_PROOF_TOKEN\" \"https://saimsara.com/api/v1/evidence.php?doc_key=digital%3A%3AAI_VOICE_SS\""}}}