High-performance inference of Meta's Encodec deep learning based audio codec model:

• Plain C/C++ implementation without dependencies using ggml

The entire implementation of the model is contained in 3 source files:

Tensor operations: ggml.h / ggml.c Inference: encodec.h / encodec.cpp Utils operations: encoder.h / encoder.cpp

• Support of 24Khz model
• Support of 48Khz model
• Encodec's language model support
• Mixed F16 / F32 precision
• 4-bit / 8-bit quantization support
• Add Encodec's original language model
• Support of 48khz model

• The core tensor operations are implemented in C (ggml.h / ggml.c)
• The encoder-decoder architecture and the high-level C-style API are implemented in C++ (encodec.h / encodec.cpp)
• Sample usage is demonstrated in main.cpp