This entry is part 1 of 4 in the series Analog modelling

A few month ago, mystran published on KVR a small SPICE simulator for real-time processing. I liked the idea, the drawback being that the code is generic and not tailored like a static version of the optimizer. So I wondered if it was doable. But for this, I have to start from the basics and build from there. So let’s go.

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This entry is part 3 of 3 in the series Playing with a Bela

More than a year ago, I started playing with the Bela board. At the time, I had issues compiling Audio ToolKit with clang. The issue was that the gcc shipped with the Debian image the BeagleBoard used was too old and didn’t fully support C++11. The one that ships now is GCC 6, which is even C++14 compliant. Meaning that everything is available to build Audio Toolkit with Python support.

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ATK is updated to 2.2.0 with the major introduction of vectorized filters. This means that some filters (EQ for now) can use vectorization for maximum performance. More filters will be introduced later as well as the Python support. Vector lanes of size 4 and 8 are supported as well as instruction sets from SSE2 to AVX512.

This is also the first major release that officially supports the JUCE framework. This means that ATK can be added as modules (directly source code without requiring any binaries) in the Projucer. The caveat is that SIMD filters are not available in this configuration due to the requirement for CMake support to build the SIMD filters.

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ATK is updated to 2.1.0 with a major refactoring of the Python wrappers and extensive testing of them. New filters were also added to support more complex pipelines (mute/solo and circular buffers for real-time spectrum displays) and Audio ToolKit provies now a CMake configuration file for easier integration in CMake projects.

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