BigVGAN is a large-scale trained general neural vocoder developed by NVIDIA. It uses an adversarial generative network (GAN) architecture to convert acoustic features such as Mel spectrograms into high-quality, high-fidelity audio waveforms. The model has been trained on a large scale on various audio types (such as speech, environmental sounds, and music), supports multiple sampling rates and configurations, and performs excellently in the field of speech synthesis with its outstanding audio quality and versatility.
Audio Processing
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