Syfala is a toolchain aiming to facilitate the development of real-time audio Digital Signal Processing (DSP) applications on Field-Programmable Gate Array (FPGA) platforms. Since its introduction in 2021, the project has been relying on the FAUST programming language as its primary programming interface. The resulting C++ code generated by the FAUST compiler can be easily translated into Hardware Description Language (HDL) code using High Level Synthesis (HLS), thereby facilitating integration into FPGA designs. However, FPGA platforms may in some cases require very specific tuning and optimizations in order to reach their full potential, which FAUST can sometimes fail to provide, because of its platform-agnostic nature. In this technical paper, we present a new way of using Syfala with C++ and HLS. This potentially allows for a better control over parallelization and pipelining as well as for potentially more optimized and efficient code for AMD/Xilinx FPGA platforms. This method can greatly facilitate the implementation of complex DSP algorithms on FPGAs for C++ programmers. Finally, we highlight the performance gains obtained by using this methodology with respect to the original Syfala toolchain starting from FAUST programs.