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Not sure which model to use? Answer one question to find the right fit.

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Who is listening?

A person is listening

You need a Human ↔ Human model. Voice quality and naturalness matter.

A machine is listening

You need a Human ↔ Machine model. WER reduction and ASR accuracy matter.

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Human ↔ Human

ScenarioModelDescription
Noisy environment, human listenerNC · Voice Isolation (General)
VI_G_NC3.0		Removes background noise, preserves voice character

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Human ↔ Machine

ScenarioModelDescription
Single speaker → ASRAgentic NC · Voice Isolation (General)
AGENTIC_VI_G_NC		Removes environmental noise and distant human voices. Single-speaker isolation for voice agents, IVR, phone bots
Multiple speakers → ASRAgentic NC · Standard
AGENTIC_ST_NC		Removes environmental noise, preserves distant human speech. Multi-speaker environments where background conversations carry context
More models are coming soon.

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Still Not Sure?

Explore audio samples, full specifications, use cases, and code examples:

Noise Cancellation · Voice Isolation (General)

VI_G_NC3.0 Human ↔ HumanIsolates intended speech by removing background noise and voices. Optimized for human listeners.

Agentic Noise Cancellation · Voice Isolation (General)

AGENTIC_VI_G_NC Human ↔ MachineRemoves background noise and distant voices for complete voice isolation of the primary speaker’s audio stream.

Agentic Noise Cancellation · Standard

AGENTIC_ST_NC Human ↔ MachineRemoves background noise while preserving all human speech for multi-speaker environments.