CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space

CodecFlow is a new neural codec-based framework for speech bandwidth extension that efficiently reconstructs high-quality audio in compact latent space. The system uses conditional flow matching and residual vector quantization to improve speech clarity by restoring high-frequency content from low-bandwidth audio.