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license: apache-2.0 |
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# RapidSpeech.cpp (https://github.com/RapidAI/RapidSpeech.cpp)️ |
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**RapidSpeech.cpp** is a high-performance, **edge-native speech intelligence framework** built on top of **ggml**. |
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It aims to provide **pure C++**, **zero-dependency**, and **on-device inference** for large-scale ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models. |
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## 🌟 Key Differentiators |
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While the open-source ecosystem already offers powerful cloud-side frameworks such as **vLLM-omni**, as well as mature on-device solutions like **sherpa-onnx**, **RapidSpeech.cpp** introduces a new generation of design choices focused on edge deployment. |
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### 1. vs. vLLM: Edge-first, not cloud-throughput-first |
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- **vLLM** |
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- Designed for data centers and cloud environments |
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- Strongly coupled with Python and CUDA |
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- Maximizes GPU throughput via techniques such as PageAttention |
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- **RapidSpeech.cpp** |
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- Designed specifically for **edge and on-device inference** |
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- Optimized for **low latency, low memory footprint, and lightweight deployment** |
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- Runs on embedded devices, mobile platforms, laptops, and even NPU-only systems |
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- **No Python runtime required** |
