Solution
Deepfake audio detection for high-trust voice channels
Yes: Sonotheia detects synthetic and deepfake audio using physics-based spectral envelope trajectories and source excitation phase analysis. Unlike black-box score-only APIs, every verdict ships with an explainable decision trace and review-ready compliance artifacts.
For regulated environments, detection alone is insufficient. Sonotheia pairs signal analysis with a voice governance layer so teams can defend what they did when voice drove the decision.
How does deepfake audio detection work?
Most vendors return a single probability score from an opaque classifier. Sonotheia measures dynamic spectral envelope trajectories and source excitation phase patterns to surface physical anomalies consistent with synthetic generation pipelines. Each sensor contribution, threshold, and rule trigger is logged in a decision trace your compliance team can review.
What benchmarks validate Sonotheia's detection?
Core signal analysis is benchmarked on the ASVspoof5 evaluation partition across spoof attack types A17 through A32. Metrics include Equal Error Rate (EER) and minDCF under documented calibration protocols. We publish methodology, not marketing superlatives — ask for our technical brief during a pilot scoping call.
Why pair detection with governance?
When voice authorizes wire transfers, credential resets, or trading instructions, examiners ask what was measured, which thresholds applied, and why the conclusion was reasonable. Sonotheia produces evidence packages that support SAR narratives, vendor oversight reviews, and internal audit reconstruction without retaining raw audio or biometric templates.
Frequently asked questions
- Does Sonotheia store voiceprints or raw audio?
- No. Audio is processed in memory and not retained after analysis. We do not create or store voiceprints or biometric templates.
- Can Sonotheia replace our existing detection vendor?
- Usually no. Sonotheia complements score-only detection tools with explainable governance artifacts, calibration history, and supervisory documentation.
- What attack types does deepfake audio detection cover?
- Sonotheia is calibrated against ASVspoof5 spoof attacks including neural codec, voice conversion, and TTS-based synthesis pipelines. Real-world performance depends on channel codec and deployment calibration.
- Is a deepfake voice detection API available?
- Yes. Enterprise pilots integrate a deepfake voice detection API that returns verdict, confidence band, per-sensor contributions, decision trace JSON, and evidence-contract hashes. Contact us for deployment architecture options.
- How fast is deepfake audio detection?
- Analysis runs on streaming audio with sub-second latency. Real-time operations are restricted to evaluated pilot or demo contexts; latency depends on channel codec and deployment topology.
- What regulated industries use Sonotheia?
- Community and regional banks, credit unions, broker-dealers, RIAs, and family offices evaluating voice-channel fraud controls.
Ready to evaluate Sonotheia for your voice channel?
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