openbmb/VoxCPM1.5 已完整同步
🎙️ VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
Project Page Technical ReportLive Playground Samples
- VoxCPM1.5
🎉 VoxCPM1.5 Updates
Release Date: December 5, 2025
VoxCPM1.5 brings improvements in audio quality and efficiency:
| Feature | VoxCPM | VoxCPM1.5 |
|---|---|---|
| Audio VAE Sampling Rate | 16kHz | 44.1kHz |
| LM Token Rate | 12.5Hz | 6.25Hz |
| Patch Size | 2 | 4 |
| SFT Support | ✅ | ✅ |
| LoRA Support | ✅ | ✅ |
Key Improvements:
- 🔊 Higher Quality: 44.1kHz sampling rate preserves more high-frequency details for better voice cloning
- ⚡ More Efficient: Reduced token rate (6.25Hz) lowers computational cost while maintaining performance
- 🎓 Fine-tuning Support: Train personalized voice models with SFT or LoRA
Note: Output quality depends on the prompt speech quality. VoxCPM-0.5B remains fully supported with backward compatibility.
📚 Model Overview
VoxCPM is a novel tokenizer-free Text-to-Speech (TTS) system that redefines realism in speech synthesis. By modeling speech in a continuous space, it overcomes the limitations of discrete tokenization and enables two flagship capabilities: context-aware speech generation and true-to-life zero-shot voice cloning.
Unlike mainstream approaches that convert speech to discrete tokens, VoxCPM uses an end-to-end diffusion autoregressive architecture that directly generates continuous speech representations from text. Built on MiniCPM-4 backbone, it achieves implicit semantic-acoustic decoupling through hierachical language modeling and FSQ constraints, greatly enhancing both expressiveness and generation stability.
🚀 Key Features
- Context-Aware, Expressive Speech Generation - VoxCPM comprehends text to infer and generate appropriate prosody, delivering speech with remarkable expressiveness and natural flow. It spontaneously adapts speaking style based on content, producing highly fitting vocal expression trained on a massive 1.8 million-hour bilingual corpus.
- True-to-Life Voice Cloning - With only a short reference audio clip, VoxCPM performs accurate zero-shot voice cloning, capturing not only the speaker’s timbre but also fine-grained characteristics such as accent, emotional tone, rhythm, and pacing to create a faithful and natural replica.
- High-Efficiency Synthesis - VoxCPM supports streaming synthesis with a Real-Time Factor (RTF) as low as 0.17 on a consumer-grade NVIDIA RTX 4090 GPU, making it possible for real-time applications.
Quick Start
🔧 Install from PyPI
pip install voxcpm
1. Model Download (Optional)
By default, when you first run the script, the model will be downloaded automatically, but you can also download the model in advance.
- Download VoxCPM1.5
from huggingface_hub import snapshot_download snapshot
10 个文件
浏览文件数据集版权信息
本数据集的许可证为 Apache License 2.0。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
通过 WeHub CLI 下载当前数据集快照。下列命令会固定为当前页面展示的数据版本(如果页面提供版本)。文件字节由本机直连存储下载,浏览器不会签发或保存下载链接。
前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7 --overwrite
仅包含匹配路径
wehub datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7 --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7 --exclude "*.md"
提高并发下载数
wehub datasets download ds_ext_1795_d88533c3c7 --revision 21c5944939d8750786d45603a313ba4e382313a8 --output ./ds_ext_1795_d88533c3c7 --jobs 8
完整帮助:wehub datasets download --help

