HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Paper โข 2010.05646 โข Published โข 2
HiFi-GAN v1 is a generative adversarial network for high-fidelity neural vocoding that converts 80-bin log-Mel spectrograms ([1, 80, 50]) into 22.05 kHz time-domain audio waveforms ([1, 12800]) using 50-frame overlap tiling (core=20, ctx=15) on the Ambarella N1-655 CVflow v3 NVP.
Original paper: HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Model Configuration:
LICENSE)[3.9.0 / n1-655x] (cavalry_gen 3.0.4)jik876/hifi-gan), licensed under the MIT License; ONNX export provided by csukuangfj/sherpa-onnx-hifigan (sherpa-onnx contributors).[1, 80, 50] -> [1, 12800], hop=256) and compiled via Ambarella Cooper SDK CNNGen 3.9.0 (cavalry_gen 3.0.4) into CVflow v3 N1-655 (vdg_arch = 0xB) Cavalry DAG binary format (n1-655_hifigan_vocoder_amba_optimized.bin).vdg_arch = 0xB, CVflow v3 cavalry_gen 3.0.4)mel [1, 80, 50] IEEE FP16 (run with 50-frame overlap tiling: core=20 frames, ctx=15 context frames on each side)audio [1, 12800] IEEE FP16 per tile (crop middle 20 * 256 = 5120 samples per tile @ 22.05 kHz)| Model | Device | Compression | Model Link |
|---|---|---|---|
| HiFiGAN | N1-655 | Amba_optimized | Model_Link |