Resemble AI is raising the bar for inline in-call detection with new support for leading telephony codecs — G.711, G.729, AMR-WB, and Opus — combined with a significant accuracy breakthrough in detecting synthetic and manipulated speech across compressed audio streams.
Why it matters
Most voice fraud today rides over bandwidth-constrained codecs optimized for telephony. Detecting deepfakes or impersonation attacks in these conditions is notoriously challenging due to lossy compression, packetization, and bandwidth artifacts. Our latest release closes this gap, ensuring high-precision detection even on low-bitrate, real-world call traffic.
What’s new
- Codec-Aware Detection Models – Enhanced accuracy across narrowband and wideband codecs without requiring PCM-quality input.
- Improved Inline Reliability – Greater resilience to compression artifacts, jitter, and packet loss in SIP, SIPREC, and RTP streams.
- Enterprise & Carrier Scale – Optimized for high concurrency deployments in contact centers, SBC environments, and telco networks.
- Security Against Evasion – Models hardened against codec-level adversarial perturbations, closing common attack vectors.
The outcome
Enterprises and carriers can now deploy real-time, in-call detection with confidence that voice integrity checks remain accurate regardless of the codec in use. Whether protecting a financial services hotline, a carrier call path, or a government comms channel, detection remains reliable, fast, and inline.