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Speech & Audio

VibeVoice-ASR-BitNet

microsoft
国内镜像可用
Quantized

VibeVoice-ASR-BitNet 是 VibeVoice-ASR 的压缩版本,专为边缘 CPU 的实时语音识别推理优化,无需 GPU。 通过异构量化技术,模型从 4.62 GB 压缩至 1.58 GB,推理速度比 Whisper.cpp 快 1.6–2.3 倍,支持实时语音识别(RTF < 1)。 VAE Tokenizer:从 1.31 GB 压缩至 0.65 GB(I8_S 量化),压缩比 2.0×

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Speech & Audio

audio.cpp-gguf

audio-cpp
国内镜像可用
Quantized

audio.cpp-gguf 由 audio-cpp 发布,仓库任务标记为文本转语音。将文本转换为语音;语言覆盖和参考音色能力需查看作者说明。 来源声明的基础模型:ACE-Step/Ace-Step1.5。 本条按量化版独立收录。

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