# Introducing our Voice Agent API: The fastest path to a working voice agent

[Slam-1 now in public beta: the most powerful prompt-based Speech Language Model to unlock real world outcomes](/content/topic/slam-1/index.html)

Slam-1 is the most powerful prompt-based Speech Language Model that’s customizable to your transcription needs. Improve transcription accuracy for your industry terminology and specific use cases through prompting, without complex custom model development.

**JD Prater, Head of Product Marketing**  
**Ryan O'Connor, Senior Developer Educator**

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## Slam-1 represents a fundamental shift in speech recognition technology

Slam-1 is designed for speech-to-text tasks, combining large language models with specialized audio processing. It aims to improve transcription for specific use cases without the complexity of custom models.

## Superior accuracy that humans prefer

Slam-1 outperforms our industry-leading Universal model, with a 72% human preference rating in blind tests, enhancing user satisfaction and engagement.

### Why users prefer Slam-1

Key benefits include:  
- **Accuracy for key entities:** Reduces error rates for alphanumerics and specific terminology significantly.  
- **Formatting accuracy:** Enhances readability with proper capitalization, punctuation, and spacing.  
- **General accuracy:** Maintains a low word error rate (WER) across diverse data sets.

## Customization and Fine-Tuning

Slam-1 offers simple customization for various industries, requiring minimal effort to achieve high accuracy.  
  
### Provide key terms for Slam-1

Users can provide domain-specific terms that enhance recognition and understanding in transcripts.

### Applications

#### Medical

Slam-1 significantly reduces missed entity rates in medical transcription, providing comprehensive records necessary for patient care.  
```javascript
import requests
import time

base_url = "https://api.assemblyai.com"
headers = {"authorization": "<YOUR_API_KEY>"}

# select Slam-1 and specify your audio file
data = {
    "audio_url": "https://assembly.ai/sports_injuries.mp3",
    "speech_model": "slam-1",
    "keyterms_prompt": ["differential diagnosis", "myocardial infarction", "hypertension", "Wellbutrin XL 150mg", "lumbar radiculopathy", "bilateral paresthesia", "metastatic adenocarcinoma", "idiopathic thrombocytopenic purpura"]
}
# submit the transcription request
response = requests.post(base_url + "/v2/transcript", headers=headers, json=data)
```

#### Legal

For legal contexts, Slam-1 maintains high accuracy and efficiently handles related terminology.  
```python
import requests
import time

base_url = "https://api.assemblyai.com"
headers = {"authorization": "<YOUR_API_KEY>"}

# select Slam-1 and specify your audio file
data = {
    "audio_url": "https://assembly.ai/sports_injuries.mp3",
    "speech_model": "slam-1",
    "keyterms_prompt": ["motion for summary judgment", "voir dire", "amicus curiae", "Duran v. Peabody Coal Company"]
}
# submit the transcription request
response = requests.post(base_url + "/v2/transcript", headers=headers, json=data)
```

## Slam-1’s multi-modal advantage

Slam-1 processes audio and language together, enhancing transcription accuracy compared to traditional methods.

## Looking forward

New capabilities are in development, including contextual information incorporation and capturing disfluencies.

## Choosing the right model for your needs

- **Slam-1**: For accuracy and customization with specialized vocabularies.  
- **Universal**: For speed and broader language support.

## Get started with Slam-1 today

The public beta is accessible via the [API endpoint](https://api.assemblyai.com/v2/transcript). Simply include the `speech_model` parameter with a value of "slam-1".