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The paper presents WaveNet, a deep generative model of raw audio waveforms. Unlike traditional audio generation methods that first generate a spectrogram and then convert it to audio, WaveNet directly predicts the raw audio waveform, one sample at a time. This approach allows for highly realistic speech synthesis and can be used for generating music or any type of audio.

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Using keywords such as "neural DSP," "audio processing," "deep learning for audio," and "neural networks for signal processing" can lead you to relevant and recent publications. The paper presents WaveNet, a deep generative model