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Sanas delivers world-class AI models across two categories: Human ↔ Human and Human ↔ Machine. Currently offering noise cancellation, with Accent Translation, Language Translation, Speech Enhancement, and Speech Intelligence coming soon.

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Noise Cancellation Models

ModelUse CaseDescriptionBest For
VI_G_NC3.0
NC — Voice Isolation (General)		Human ↔ HumanIsolates intended speech by removing background noise and voicesContact centers, conferencing, gaming
AGENTIC_VI_G_NC
Agentic NC — Voice Isolation (General)		Human ↔ MachineRemoves all background noise and non-primary voices for complete speaker isolationSingle-speaker isolation for voice agents, IVR, phone bots
AGENTIC_ST_NC
Agentic NC — Standard		Human ↔ MachineRemoves background noise while keeping all human speech audibleMulti-speaker environments where background conversations carry context
Hear samples and learn more about each model’s specifications, use cases, and code examples:

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Human ↔ Human

Noise Cancellation · Voice Isolation (General)

VI_G_NC3.0 — Isolates intended speech by removing background noise and voices. Optimized for human listeners.
  • Latency: ~40ms
  • Sample rate: Up to 24kHz
  • Range: Primary speaker within ~1m

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Human ↔ Machine

Agentic Noise Cancellation · Voice Isolation (General)

AGENTIC_VI_G_NC — Removes background noise and distant voices for complete voice isolation of the primary speaker’s audio stream.
  • Latency: ~100ms
  • Sample rate: 16kHz
  • Relative Word Error Rate Reduction (RWERR): 5-30% (average)

Agentic Noise Cancellation · Standard

AGENTIC_ST_NC — Removes background noise while preserving all human speech for multi-speaker environments.
  • Latency: ~100ms
  • Sample rate: 16kHz
  • Relative Word Error Rate Reduction (RWERR): 5-30% (average)