LPCNet superseded by FARGAN

[jmvalin]

LPCNet is no longer being actively developed. It will continue to be available but for most applications, users are encouraged to switch to the Framewise Autoregressive GAN (FARGAN). FARGAN achieves better quality than LPCNet with just 600 MFLOPS complexity. That's 1/5 of the complexity of the most optimized LPCNet and 1/20 of the original LPCNet.

• J.-M. Valin, A. Mustafa, Jan Büthe, Very Low Complexity Speech Synthesis Using Framewise Autoregressive GAN (FARGAN) with Pitch Prediction, IEEE Signal Processing Letters, 2024, arXiv:2405.21069.

See our demo page for comparisons with LPCNet, HiFi-GAN, CARGAN and FWGAN. The PyTorch source code along with an optimized C implementation are available as part of the larger Opus codec implementation (FARGAN is used for PLC and deep redundancy within Opus).