#C/C++ implementation

The bark.cpp project delivers a real-time, multilingual text-to-speech solution in pure C/C++, leveraging SunoAI's Bark model. It supports CPU and GPU, utilizing AVX technologies for x86 architectures, and includes mixed F16/F32 precision with several quantization options. Suitable for a range of hardware configurations via Metal and CUDA backends, it currently supports Bark Small and Large models. Community contributions are welcomed for extending model library and functionality.

The project features a C/C++ implementation of Meta's Encodec audio codec model, incorporating ggml for high performance without external dependencies. It currently supports 24Khz models and mixed F16/F32 precision, with future development planned for 4-bit and 8-bit quantization and GPU offloading via Metal and CoreML. This implementation is suitable for systems that require efficient audio processing, with core tensor operations in C and a C++ API for the encoder-decoder setup. The project can be built using CMake, accommodating various platforms like MacOS with GPU support through Metal and CUDA.