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Real-Time Voice AI Models
Krisp builds ultra-low latency AI models for voice AI agents, contact centers, and real-time communication — powering 80B+ monthly audio minutes across 200M+ devices. Trusted by Discord, Twilio, RingCentral, Vonage, and more.
VIVA SDK — Voice Intelligence for Voice AI Agents
Server-side models that sit in front of your VAD or STT pipeline, optimized for on-server CPU deployment.
| Model | Description |
|---|---|
| Voice Isolation | Removes background noise, secondary voices, and cross-talk from agent audio streams. Language and accent independent. |
| Turn Prediction | Predicts when a speaker is likely to finish their turn, enabling natural conversation flow without awkward pauses or premature interruptions. Audio-only, no transcription required. |
| Voice Activity Detection | Accurate real-time speech and silence detection for clean voice pipelines. Reduces false triggers and improves system responsiveness. |
RTC SDK — Speech Enhancement for Human-to-Human Calls
Client-side and server-side models for noise cancellation, accent conversion, and voice translation.
| Model | Description |
|---|---|
| Noise Cancellation | Inbound and outbound noise removal, background voice cancellation, and de-reverberation. |
| Accent Conversion | Real-time accent transformation for contact center agents — improves CSAT and AHT. |
| Voice Translation | Bidirectional real-time voice-to-voice translation across multiple languages. |
Open Datasets & Benchmarks
turn-taking-test-v1— 4 hours of annotated conversational audio for turn prediction benchmarking (976 shift + 1,754 hold cases, 30 speakers)
Integrations
Works with Pipecat · LiveKit · Vapi · Daily — available as compiled C, JS/WASM, Python, Node.js, Go, and Rust bindings.
Website · Developer SDK · Documentation · Engineering Blog · LinkedIn · Twitter