HybridNet: A Hybrid Neural Architecture to Speed-up Autoregressive Models

ICLR 2018 Yanqi ZhouWei PingSercan ArikKainan PengGreg Diamos

This paper introduces HybridNet, a hybrid neural network to speed-up autoregressive models for raw audio waveform generation. As an example, we propose a hybrid model that combines an autoregressive network named WaveNet and a conventional LSTM model to address speech synthesis... (read more)

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