audio.cpp: A C++ Engine for Audio Inference

🛠 audio.cpp: A high-performance engine for audio model inference based on C++ and ggml

Introducing audio.cpp — a project for performing speech synthesis (TTS), recognition (ASR), and music generation without a dependency on Python. Thanks to CUDA optimization, model performance (e.g., Vevo2) increases by 5x, while latencies are reduced by 45–80%.

🌍 Moving to native C++ solutions based on ggml reduces resource requirements, which is critical for real-time audio services and edge devices.

👤 Powerful audio neural networks can now be run locally on Windows, Linux, or macOS much faster and with lower memory consumption.

Source 1: https://github.com/0xShug0/audio.cpp