voxcpmane 0.0.4

VoxCPM TTS model with Apple Neural Engine backend server

VoxCPMANE

VoxCPM TTS model with Apple Neural Engine (ANE) backend server. CoreML models available in Huggingface repository.

• 🎤 Voice Cloning: Support for custom voice prompts and cached voices
• 📡 Streaming Support: Real-time audio streaming for low latency
• 🎧 Server-side Playback: Direct audio playback on the server
• 🌐 Web Interface: Interactive playground for testing

Voice Cloning

https://github.com/user-attachments/assets/02ffa400-b2fd-422e-a3ad-a0ea232a55aa

Included Voices Listen samples

https://github.com/user-attachments/assets/28880ed2-2e21-4eb4-b0ce-18a100403e87

Installation

Prerequisites

• macOS with Apple Silicon for ANE acceleration
• Python 3.9-3.12
• uv package manager (recommended)
• pydub required for audio formats other than wav in /speech endpoint

Install with pip or uv

uv pip install voxcpmane

pip install voxcpmane

The server will start on http://localhost:8000 by default. You can access the web playground at the root URL.

Configuration

Command Line Options

uv run voxcpmane-server --help

• --host: Host to bind the server to (default: 0.0.0.0)
• --port: Port to run the server on (default: 8000)
• --cache-dir: Directory for custom voice caches (default: ~/.cache/ane_tts)

Custom Voices

You can create reusable cached voices in two ways:

1. Via the Web Playground/API: Use the "Create Voice" tab or POST /v1/voices endpoint.
2. Startup Compilation: Place pairs of audio files (e.g., .wav, .mp3) and transcriptions (.txt) in the custom cache directory. The server will automatically compile them into voice caches (.npy) on startup.

Example: If you place myvoice.mp3 and myvoice.txt in the cache directory, the server will generate myvoice.npy on start, making "myvoice" available for generation.

API Reference

The full API documentation is available in docs/API.md.

Changelog

Version 0.0.3

• Added support for creation of custom voices

Roadmap

• Automatic prompt caching
• Chunked long audio generation
• Custom voices

Acknowledgments

• VoxCPM - Original TTS model