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A smart way to get C++ speed for voice AI in Python: a look at the TEN framework
https://www.reddit.com/r/programming/comments/1nq11of/a_smart_way_to_get_c_speed_for_voice_ai_in_python/

<!-- SC_OFF -->We all know that getting real-time performance in Python can be tricky, especially with I/O-heavy tasks like audio streaming. I've been looking for a good way to tackle this without having to rewrite everything in C++. I recently stumbled upon the TEN framework, and its architecture is clever. It uses a high-performance C++ core for the heavy lifting but has a clean, first-class Python API. Their new v0.10 release really refines this, so you can write all your main logic in Python and let the C++ backend handle the speed-critical parts. It’s the same hybrid approach that makes libraries like NumPy so powerful. They've also built out a whole suite of tools for things like voice activity and turn detection, so you're not starting from scratch. If you're building any application where responsiveness is critical, this project is definitely worth a look. It seems like it's built by engineers who've actually faced these problems before. <!-- SC_ON --> submitted by /u/Global-Biscotti-8449 (https://www.reddit.com/user/Global-Biscotti-8449)
[link] (https://github.com/TEN-framework) [comments] (https://www.reddit.com/r/programming/comments/1nq11of/a_smart_way_to_get_c_speed_for_voice_ai_in_python/)