> ## Documentation Index
> Fetch the complete documentation index at: https://developer.sanas.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Models Overview 

Explore Sanas's Human ↔ Human and Human ↔ Machine models and their capabilities.

Sanas delivers world-class AI models across two categories: Human ↔ Human and Human ↔ Machine. Sanas currently offers Noise Cancellation and Speech Enhancement capabilities. Accent Translation, Language Translation, and Speech Intelligence coming soon.

## Who is listening?

<CardGroup cols={2}>
  <Card title="A person is listening" icon="users">
    You need a **Human ↔ Human** model. Voice quality and naturalness matter.
  </Card>

  <Card title="A machine is listening" icon="robot">
    You need a **Human ↔ Machine** model. Relative Word Error Rate (RWERR) reduction and ASR accuracy matter.
  </Card>
</CardGroup>

## Agentic Speech Enhancement Models

| Model               | Use Case                                                | Description                                                                        | Best For:                                                                                                          |
| ------------------- | ------------------------------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| AGENTIC\_VI\_G\_SE  | Agentic — Voice Isolation (General) — Human ↔ Machine   | Removes all background noise and non-primary voices for complete speaker isolation | Voice agents, IVR, and phone bots that need a single, noise-free speaker isolated from everything else on the line |
| AGENTIC\_VI\_GT\_SE | Agentic — Voice Isolation (Telephony) — Human ↔ Machine | Telephony-optimized variant of VI\_G for 8kHz narrowband audio                     | Telephony-based voice agents and IVR in contact centers running on narrowband (8kHz) call audio                    |
| AGENTIC\_ST\_SE     | Agentic — Standard — Human ↔ Machine                    | Removes background noise while keeping all human speech audible                    | Multi-party calls or meeting/triage agents where overheard background speech still adds useful context             |

## Speech Enhancement Models

| Model     | Use Case                                  | Description                                                                                                       | Best For:                                                                                                      |
| --------- | ----------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| SE1.2     | SE Enhanced (Telco) — Human ↔ Human       | Enhances voice quality for narrowband telephony audio and adds comfort noise; mainly intended for Telco use cases | Telco and carrier-grade voice applications needing lightweight enhancement with natural-sounding comfort noise |
| SE2.1     | SE Standard — Human ↔ Human               | Restores and enhances voice quality for telephony audio, outputting 8kHz                                          | High-volume contact centers and IVR systems needing lightweight, low-latency voice cleanup on telephony audio  |
| SE2.2     | SE Full-Fidelity — Human ↔ Human          | Full-Fidelity speech enhancement with bandwidth extension to 24kHz                                                | Premium contact centers, conferencing, and telemedicine where full-fidelity audio quality is essential         |
| VI\_G\_SE | Voice Isolation (General) — Human ↔ Human | Isolates intended speech by removing background noise and voices                                                  | Contact center agents, conferencing, and live/gaming voice chat where listeners need clean, isolated speech    |

## Accent Translation Models

| Model | Use Case                           | Description                                                                                                                                             | Best For:                                                                                                          |
| ----- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| AT5.2 | Accent Translation — Human ↔ Human | Accent Translation modifies global accents in real-time, allowing your teams to be instantly understood while preserving what makes every voice unique. | Contact centers and global teams who need instant, natural-sounding accent translation in meetings and daily calls |

## Language Translation

| API                                       | Use Case                            | Description                                                                            | Best For:                                                                                                                                |
| ----------------------------------------- | ----------------------------------- | -------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| [LT](/Docs/Language-Translation/Overview) | Language Translation— Human ↔ Human | Real-time language translation that preserves your speakers' voices, tone, and intent. | Cross-language customer support and international meetings that need real-time translation while preserving the speaker's voice and tone |

Hear samples and learn more about each model's specifications, use cases, and code examples below.

## Human ↔ Human

### Speech Enhancement · Enhanced (Telco)

**SE1.2** — Enhances voice quality for narrowband telephony audio and adds comfort noise. Mainly intended for Telco use cases.

### Speech Enhancement · Standard

**SE2.1** — Restores and enhances voice quality for telephony audio. Low CPU footprint.

* Latency: 120ms
* Sample rate: 16kHz → 8kHz

### Speech Enhancement · with full-fidelity

**SE2.2** — Full-fidelity speech enhancement with bandwidth extension to ultra-fidelity 24kHz.

* Latency: 160ms
* Sample rate: 16kHz → 24kHz

### Speech Enhancement · Voice Isolation (General)

**VI\_G\_SE** — 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

### Accent Translation

**AT5.2** — Accent Translation modifies global accents in real-time, allowing your teams to be instantly understood while preserving what makes every voice unique.

* Latency: \~200ms

### Language Translation

[**LT**](/Docs/Language-Translation/Overview) — Real-time language translation that preserves your speakers' voices, tone, and intent.

* Latency: \~3-5s

## Human ↔ Machine

### Agentic Speech Enhancement · Voice Isolation (General)

**AGENTIC\_VI\_G\_SE** — 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 Speech Enhancement · Voice Isolation (Telephony)

**AGENTIC\_VI\_GT\_SE**— Telephony-optimized variant of Voice Isolation for 8kHz narrowband audio.

* Latency: \~100ms
* Sample rate: 8kHz
* Relative Word Error Rate Reduction (RWERR): 5–30% (average)

### Agentic Speech Enhancement · Standard

**AGENTIC\_ST\_SE** — 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)
