Python's Achilles Heel: C++ and Python Interop for Audio Processing

​Python is pleasant to write but slow to run once the data gets big. Using a silence-stripping algorithm as an example, I look at why the per-block loop costs so much (158 million samples in an hour of 44.1 kHz audio), then move it into C++ for SIMD and pre-allocated memory, with Boost.Python handling the bridge.

​Bio

​Ron Shabi is a Computer Science student at the Open University of Israel, focusing on networks and operating systems. He completed a B.A. in Accounting and Economics at Bar-Ilan University before changing course.

​Schedule

• ​Mingling 30 min

  • ​We start with a little online mingling. Tell us about yourself and meet the other attendees.

• ​Presentation 30 min

• ​Informal conversation

  • ​After the presentation is ended and we have stopped the recording, you can stay on to continue with an informal conversation.