Need private deployment text-to-speech solution

If you need a private / on-prem text-to-speech (TTS) solution, the best choice depends on your goals:

Good private TTS options

1) Piper

• Best for: lightweight, fast, fully offline deployment
• Pros: open source, runs locally, easy to containerize, good quality for many use cases
• Cons: voice quality is good but not always “studio” level
• Use when: you want a simple private TTS service on your own servers

2) Coqui TTS / XTTS

• Best for: higher-quality neural TTS, multilingual, voice cloning options
• Pros: open source, private deployment, flexible
• Cons: heavier, more setup, more GPU-friendly than CPU-friendly for best performance
• Use when: you want better quality and can manage infrastructure

3) NVIDIA Riva

• Best for: enterprise-grade private deployment
• Pros: optimized, GPU-accelerated, production-focused, supports on-prem
• Cons: requires NVIDIA stack, more operational complexity
• Use when: you want enterprise support and already use NVIDIA GPUs

4) Open-source self-hosted APIs

Examples:

• Mimic 3
• OpenTTS
• MaryTTS (older, less natural)
• ESPnet / VITS-based models for custom builds

What I’d recommend

• Small/private deployment, simple setup: Piper
• Higher quality / voice cloning / multilingual: Coqui XTTS
• Enterprise on NVIDIA infrastructure: NVIDIA Riva

Typical private architecture

• TTS engine runs in a Docker container or VM
• Expose a REST/gRPC API
• Store models locally
• Keep all audio and text data within your network
• Add auth, logging, and rate limiting if needed

Important questions to choose the right one

1. Do you need CPU-only or GPU?
2. Do you want natural-sounding speech or just functional TTS?
3. Do you need voice cloning?
4. What languages do you need?
5. Is this for internal apps, call center/IVR, or customer-facing use?

If you want, I can give you:

• a recommended stack
• a Docker-based setup
• or a comparison table for private TTS options.