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A tokenizer-free TTS model that works in continuous space, outputs 44.1kHz audio, and stays consistent across paragraphs.
在 SSML 标记中折行文本以精确控制 :
<speak><prosody rate="slow">Slow speech</prosody></speak>
标记选中模式的理解度 - 单击将一个输入到文本中, 发生时 :
这个模型读的是简单的文字, 所以内嵌标签会被忽略。 对于基于标签的情感, 请切换到像 Orpheus 或 Bark 这样的表达模式 。
定义自定义发音( Word = 发音) :
关于 VoxCPM
VoxCPM 1.5 by OpenBMB takes an unusual approach: instead of converting speech into discrete tokens, it operates directly in continuous space, which helps it preserve fine acoustic detail. It produces high-fidelity 44.1kHz audio, supports zero-shot voice cloning from three to ten seconds of reference, and maintains a consistent voice across long passages — a common failure point for other models on multi-paragraph text. Its cross-language cloning lets an English reference voice speak Chinese and vice versa. With Apache 2.0 licensing and LoRA fine-tuning support, it is well suited to audiobooks and long-form content where voice consistency over many paragraphs is essential.
最佳: High-fidelity audio, audiobooks, long-form content with voice consistency
全部浏览 VoxCPM 声音一眼看一眼,
- 开发者
- OpenBMB
- 许可证
- Apache 2.0
- 级别
- standard
- 速度
- fast
- 语音克隆
- 是
- 语言
- English, Chinese
- 最大字符
- 2000