Configuring Agent Voice
The voice configuration controls how your agent sounds (text-to-speech) and how it hears (speech-to-text). This guide covers every provider, model, and tuning parameter available on the platform.
Voice Pipeline
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The transcriber and voice sections of the agent schema control the two ends of this pipeline.
Text-to-Speech (TTS)
ElevenLabs
ElevenLabs offers the widest library of natural-sounding voices with fine-grained control over stability and expressiveness.
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| Parameter | Range | Description |
|---|---|---|
stability | 0.0–1.0 | Higher = more consistent, lower = more expressive |
similarity_boost | 0.0–1.0 | Higher = closer to original voice sample |
style | 0.0–1.0 | Higher = more stylistic variation (increases latency) |
speed | 0.25–4.0 | Speaking rate multiplier |
Model: eleven_flash_v2_5 — avg 71 ms latency
Cartesia
Cartesia provides the lowest TTS latency on the platform, making it ideal for fast-paced conversations.
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| Parameter | Description |
|---|---|
voice_id | Cartesia voice identifier |
language | ISO 639-1 language code |
speed | Speaking rate multiplier (preset name or float) |
emotion | List of emotion tags (e.g. ["Happy", "Excited"]) — Sonic 3 only |
volume | Volume adjustment float — Sonic 3 only |
Model: sonic-3 — avg 37 ms latency
Phantom Speech
Neuratel's own TTS engine. No external provider dependency — all processing happens on Neuratel infrastructure.
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Models: phantom-english-speech-preview, phantom-arabic-speech-preview — avg 63 ms latency
Available voices (10):
| English | Arabic |
|---|---|
aria (F), bella (F), claire (F) | layla (F), nour (F) |
alex (M), david (M), marcus (M) | omar (M), tariq (M) |
Note: Phantom Speech uses the voice field (voice name) instead of voice_id.
Speech-to-Text (STT)
Deepgram
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| Model | Best for |
|---|---|
nova-3 | General-purpose transcription, highest accuracy |
nova-3-medical | Medical terminology, clinical conversations |
OpenAI
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Voice APIs
List voices for a provider
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Returns all available voices including name, description, and latency characteristics.
Voice previews are available directly in the Agent Studio — click the play button next to any voice in the selector to hear a sample before committing.
Latency comparison
| Component | Provider | Model | Avg latency |
|---|---|---|---|
| TTS | Cartesia | sonic-3 | 37 ms |
| TTS | Phantom | phantom-english-speech-preview | 63 ms |
| TTS | ElevenLabs | eleven_flash_v2_5 | 71 ms |
| LLM | Neuratel | phantom | 187 ms |
For the fastest end-to-end pipeline, combine Phantom Brain + Cartesia sonic-3 + Deepgram nova-3.
Choosing the right voice
By use case
| Use case | Recommended setup |
|---|---|
| High-volume support | Cartesia sonic-3 — lowest latency, clean sound |
| Premium customer experience | ElevenLabs eleven_flash_v2_5 — widest voice library, most natural |
| Multi-language (10+ langs) | Phantom Speech — 20 voices across 10 languages |
| Healthcare | Deepgram nova-3-medical for STT, any TTS provider |
Tuning stability vs. expressiveness (ElevenLabs)
| Stability | Effect |
|---|---|
| 0.0–0.3 | Highly expressive, varies between utterances |
| 0.4–0.6 | Balanced — recommended starting point |
| 0.7–1.0 | Very consistent, sounds more controlled |
For customer support, start at stability: 0.5 and similarity_boost: 0.75. For marketing or sales, try stability: 0.3 for a more dynamic delivery.
Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
| Agent voice sounds robotic | Low stability or wrong voice selection | Increase stability to 0.6, try a different voice |
| Agent speech is too fast for callers | Speed set above 1.2 | Lower speed to 1.0 |
| Agent cuts off caller mid-sentence | VAD mode too aggressive | Switch to sensitive VAD mode in the transcriber |
| Transcription errors on technical terms | General STT model struggling | Use nova-3-medical for medical terms, or add a glossary to the system prompt |
| Long pause before agent speaks | TTS latency too high | Switch to Cartesia sonic-3 or Phantom Speech |
Related
- Agent Studio — visual configuration interface
- Building Your First Agent — end-to-end tutorial
- Tools and Actions — give your agent capabilities
