MODEL PROFILE

VoxCPM1.5

openbmb · VoxCPM1.5

**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. 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.

Speech synthesislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/31 00:53:13
OVERVIEW

Model overview

**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. 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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。