# VoxCPM — Tokenizer-Free Multilingual Text-to-Speech with Voice Cloning

> Open-source TTS model by OpenBMB that generates natural multilingual speech and clones voices without traditional tokenization.

## Install

Save as a script file and run:

# VoxCPM — Tokenizer-Free Multilingual Text-to-Speech with Voice Cloning

## Quick Use
```bash
pip install voxcpm
python -m voxcpm.demo --text "Hello world" --output hello.wav
```

## Introduction
VoxCPM is an open-source text-to-speech system developed by OpenBMB that bypasses traditional text tokenization. It generates natural, expressive speech in multiple languages while supporting zero-shot voice cloning from short audio samples.

## What VoxCPM Does
- Generates multilingual speech without relying on phoneme or text tokenizers
- Performs zero-shot voice cloning from a few seconds of reference audio
- Supports creative voice design with controllable speaker attributes
- Delivers high-fidelity audio output comparable to commercial TTS systems
- Handles code-switching and mixed-language text naturally

## Architecture Overview
VoxCPM uses a continuous speech representation approach, processing raw audio waveforms rather than discrete tokens. The model is built on the MiniCPM foundation and employs a flow-matching decoder to produce high-quality audio. This tokenizer-free design eliminates information loss from quantization and enables more natural prosody.

## Self-Hosting & Configuration
- Install via pip with PyTorch and CUDA support for GPU acceleration
- Minimum 8 GB VRAM recommended for inference; 24 GB for fine-tuning
- Configure language and speaker settings through YAML config files
- Deploy as an API server with the built-in FastAPI endpoint
- Supports ONNX export for edge deployment scenarios

## Key Features
- Tokenizer-free architecture avoids discrete bottlenecks in speech generation
- True-to-life voice cloning captures speaker timbre, rhythm, and emotion
- Multi-language support spanning Chinese, English, Japanese, Korean, and more
- Creative voice design lets you specify age, gender, and speaking style
- Lightweight model variants available for resource-constrained environments

## Comparison with Similar Tools
- **Bark** — generates speech plus music and effects but lacks precise voice cloning
- **Fish Speech** — fast multilingual TTS with fewer languages and no tokenizer-free design
- **Kokoro** — extremely lightweight at 82M parameters but limited language coverage
- **F5-TTS** — flow-matching TTS with strong quality but no creative voice design controls
- **ChatTTS** — dialogue-optimized TTS focused on conversational expressiveness

## FAQ
**Q: What hardware do I need to run VoxCPM?**
A: A modern NVIDIA GPU with at least 8 GB VRAM is recommended. CPU inference is possible but significantly slower.

**Q: How much reference audio is needed for voice cloning?**
A: As little as 3-5 seconds of clean speech can produce recognizable clones, though 10-30 seconds yields better quality.

**Q: Can VoxCPM handle mixed-language sentences?**
A: Yes. The tokenizer-free design handles code-switching between supported languages within a single utterance.

**Q: Is VoxCPM suitable for real-time applications?**
A: Streaming inference is supported, achieving near-real-time latency on modern GPUs.

## Sources
- https://github.com/OpenBMB/VoxCPM
- https://openbmb.cn/

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Source: https://tokrepo.com/en/workflows/asset-76273a21
Author: Script Depot