Open stayforapple opened 2 years ago
Actually, LPCNet is designed only for CPU inference. It's only the training that takes a GPU.
Thanks.
But, could you please let LPCnet run on a conventional (and cheap) MCU at 1GHz ?
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Actually, LPCNet is designed only for CPU inference. It's only the training that takes a GPU.
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Or,could you please develop any open-source ASIC (Application Specific Integrated Circuit) just for LPCNet ?Cortex-A76 or Cortex-75 is expensive and power-hungry.
Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU
GPU is expensive and power-hungry.
Pretty bold claim there "The results of these experiments demonstrate that full-band LPCNet is the only neural vocoder that can synthesize higher-quality 48 kHz speech waveforms in real-time with a CPU"
At least for 44.1kHZ MelGAN (and most extended versions like FreGAN, Hifigan) for example easily is 3-4 times faster than realtime on some generic AMD CPU and also on the current Android snapdragon CPUs like 2 times faster than realtime. And generally the only modification needed is an upsampling factor (check for example https://github.com/NVIDIA/NeMo/blob/main/examples/tts/conf/hifigan/hifigan_44100.yaml)
Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU
GPU is expensive and power-hungry.