DeepMind published its foundational paper introducing WaveNet, a deep generative model of raw audio waveforms. By utilizing dilated causal convolutional layers to generate raw audio samples at 16,000 samples per second, WaveNet drastically closed the gap between machine speech and human vocal naturalism, rapidly upgrading global voice assistant vocal quality.
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