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WaveGAN is a type of generative adversarial network (GAN) designed specifically for generating raw audio waveforms. It enables the synthesis of audio signals directly in the time domain without relying on spectrogram or frequency domain representations.
MetricGAN+ is an advanced framework for speech enhancement that leverages metric learning and generative adversarial networks to optimize speech quality metrics directly. It improves upon its predecessor, MetricGAN, by enhancing performance and stability in denoising and speech enhancement tasks.