## Accent Translation

Accent Translation modifies global accents in real time, allowing speakers to be instantly understood while preserving what makes every voice unique. It refines how accented speech is heard — improving clarity and comprehension the first time — without stripping away the heritage, tone, or emotion that make a voice human.

### Key Features

## Improves understanding

Refines how accented speech is heard so listeners understand clearly the first time — no repetition or clarification.

## Preserves voice identity

Keeps the speaker’s natural voice, tone, and emotion intact. Every conversation stays authentic and human.

## Real-time, low cost

No perceptible delay means no awkward pauses or conversational resets. Low compute cost for high concurrency.

## Specifications

**Model ID:** `AT5.2`  
**Category:** Accent Translation  
**Type:** Human ↔ Human

## Real-time

Streaming latency

## 24kHz

Max sample rate

## US / UK

Output accents

## Use Cases

## Contact Centers

Agent-customer calls. Instant clarity that improves CSAT, QA scores, and first-call resolution.

## Financial Services

Build trust and clarity in every conversation so customers move forward with confidence.

## Healthcare

Deliver clarity and empathy from the very first patient or member interaction.

## Travel & Retail

Turn frustrated moments into loyal relationships through clear, natural communication.

## Code Example

Create an audio processor with the Accent Translation model:

```
audio_params = sanas_remote_sdk.AudioParams()
audio_params.modelName = "AT5.2"
audio_params.sampleRate = 16000  # Or up to 24kHz
audio_params.outputAccent = "US"  # Or "UK"
processor, create_result = sdk.CreateAudioProcessor(audio_params)
```

For full setup and initialization, see the [Quick Start](https://developer.sanas.ai/Docs/Getting-Started/Quick-Start).

## Next Steps

[**Quick Start**](https://developer.sanas.ai/Docs/Getting-Started/Quick-Start)  
[**API Reference**](https://developer.sanas.ai/API-Reference/Overview)  
[**Processing Multiple Streams**](https://developer.sanas.ai/Docs/Tutorials/Processing-Multiple-Streams)